Hardware Tips                                                   

What is the most important spec for a Local AI PC in 2026?

 While GPU core counts are vital, the true performance engine for Large Language Models (LLMs) and Generative AI is 

Local AI models require massive amounts of data to be swapped between the memory and processor instantly; if your bandwidth is low, your high-end GPU will "idle" while waiting for data, leading to slow token generation. 

Furthermore, the sustained 100% load of AI inference generates extreme 

, making high-performance thermal management, such as an

, essential to prevent thermal throttling and maintain peak AI throughput.

VRAM Bandwidth vs. VRAM Capacity: The 2026 AI Performance Gap

In the era of Llama 4 and Stable Diffusion Ultra, many builders mistake "VRAM Capacity" (GB) for "AI Speed." While capacity determines if a model can 

LLMs perform billions of matrix multiplications. High-speed 

 found in the RTX 50-series provides the 1,000GB/s+ bandwidth necessary to generate text and images in real-time.

If your bandwidth is the bottleneck, increasing your GPU clock speed will yield zero performance gains. This is why professional AI workstations prioritize memory bus width and speed over raw TFLOPS.

Thermal Stress in AI Workloads: Solving the VRAM Hotspot Issue

Unlike gaming, which features fluctuating "burst" loads, 

 keeps your GPU and CPU at 100% utilization for minutes or even hours.

High-bandwidth operations generate intense heat within the memory modules. If your VRAM hits 95°C, the GPU BIOS will automatically "downclock" the memory frequency, causing your AI generation speed to drop by up to 40%.

AI workloads demand constant, high-wattage power. Utilizing an 

, ensures your system handles these continuous power draws without voltage ripples that could crash your AI model mid-calculation.

Cooling the AI Beast: Why You Need 360mm Liquid Cooling and Direct Airflow

To keep a Local AI PC stable during 24/7 training or inference, your thermal infrastructure must be top-tier.

While the GPU does the heavy lifting, the CPU handles data preprocessing and model sharding. A

 is critical to keep the CPU cool, ensuring it can feed data to the GPU fast enough to saturate the VRAM bandwidth.

In a 2026 AI build, traditional front-to-back airflow is often insufficient. Chassis like the 

 to blow cold air directly onto the GPU’s memory backplate, significantly lowering VRAM temperatures during long AI sessions.

Conclusion: In the AI Era, Thermal Stability is Performance

In 2026, building a PC for AI requires a shift in mindset. It’s no longer about peak burst speeds; it’s about 

sustained bandwidth and thermal endurance

. Without a high-end cooling foundation from darkFlash, your expensive AI-ready GPU will never reach its full potential.

Is your desktop ready for the AI revolution? Upgrade to

 high-performance cooling and power solutions

 to ensure your local LLMs run at maximum velocity without throttling.





What is the most important spec for a Local AI PC in 2026? While GPU core counts are vital, the true performance engine for Large Language Models (LLMs) and Generative AI is VRAM Bandwidth (GB/s). 

Local AI models require massive amounts of data to be swapped between the memory and processor instantly; if your bandwidth is low, your high-end GPU will "idle" while waiting for data, leading to slow token generation. 

Furthermore, the sustained 100% load of AI inference generates extreme VRAM hotspots, making high-performance thermal management, such as an AIO liquid cooler, essential to prevent thermal throttling and maintain peak AI throughput.



VRAM Bandwidth vs. VRAM Capacity: The 2026 AI Performance Gap





In the era of Llama 4 and Stable Diffusion Ultra, many builders mistake "VRAM Capacity" (GB) for "AI Speed." While capacity determines if a model can fit on your card, VRAM Bandwidth determines how fast it runs.



Data Throughput

LLMs perform billions of matrix multiplications. High-speed GDDR7 memory found in the RTX 50-series provides the 1,000GB/s+ bandwidth necessary to generate text and images in real-time.



The Memory Wall

If your bandwidth is the bottleneck, increasing your GPU clock speed will yield zero performance gains. This is why professional AI workstations prioritize memory bus width and speed over raw TFLOPS.



Thermal Stress in AI Workloads: Solving the VRAM Hotspot Issue





Unlike gaming, which features fluctuating "burst" loads, Local AI inference keeps your GPU and CPU at 100% utilization for minutes or even hours.



The Silent Killer: VRAM Overheating

High-bandwidth operations generate intense heat within the memory modules. If your VRAM hits 95°C, the GPU BIOS will automatically "downclock" the memory frequency, causing your AI generation speed to drop by up to 40%.



Sustained Power Delivery

AI workloads demand constant, high-wattage power. Utilizing an ATX 3.1 certified PSU, such as the darkFlash PMT Series, ensures your system handles these continuous power draws without voltage ripples that could crash your AI model mid-calculation.



Cooling the AI Beast: Why You Need 360mm Liquid Cooling and Direct Airflow

To keep a Local AI PC stable during 24/7 training or inference, your thermal infrastructure must be top-tier.



Preventing CPU Bottlenecks

While the GPU does the heavy lifting, the CPU handles data preprocessing and model sharding. A High-Performance AIO is critical to keep the CPU cool, ensuring it can feed data to the GPU fast enough to saturate the VRAM bandwidth.





(darkFlash DV360S MAX AIO Cooler)



The Side-Intake Advantage

In a 2026 AI build, traditional front-to-back airflow is often insufficient. Chassis like the darkFlash FLOATRON F1 PC Case utilize Side-Intake fans to blow cold air directly onto the GPU’s memory backplate, significantly lowering VRAM temperatures during long AI sessions.





(darkFlash FLOATRON F1 PC Case, with positive pressure configuration)



Conclusion: In the AI Era, Thermal Stability is Performance





In 2026, building a PC for AI requires a shift in mindset. It’s no longer about peak burst speeds; it’s about sustained bandwidth and thermal endurance. Without a high-end cooling foundation from darkFlash, your expensive AI-ready GPU will never reach its full potential.

Is your desktop ready for the AI revolution? Upgrade to high-performance cooling and power solutions to ensure your local LLMs run at maximum velocity without throttling.

Discover why VRAM bandwidth is the true engine of your local AI PC and how to prevent heat-induced slowdowns during 24/7 AI workloads.

The VRAM Bandwidth Trap: Why Your High-End GPU is Stuttering in Local AI Workloads

Conseils matériels

Découvrez pourquoi la bande passante VRAM est le véritable moteur de votre PC IA local et comment éviter les ralentissements dus à la chaleur lors des charges de travail IA 24h/24 et 7j/7.

Le piège de la bande passante VRAM : pourquoi votre GPU haut de gamme saccade lors des charges de travail d’IA locales

Tech News                                                       

What is NVIDIA DLSS 5? Announced at GTC 2026, 

DLSS 5 (Deep Learning Super Sampling 5) is NVIDIA’s next-generation AI graphics technology

Unlike previous versions focused on frame interpolation, DLSS 5 uses generative AI models to "understand" scene semantics—automatically synthesizing photorealistic lighting, subsurface scattering for skin, and intricate hair-light interactions to bridge the gap between real-time gaming and cinematic VFX.

From Frame Gen to Light Gen: The Evolution of DLSS 5

Since the launch of the first RTX cards in 2018, DLSS has evolved from simple upscaling to complex frame generation. DLSS 5 marks the most significant breakthrough in 25 years of computer graphics:

DLSS 5 analyzes a single frame to identify scene semantics—distinguishing between skin, hair, and fabric—while understanding lighting conditions (backlit, overcast, etc.).

Because the AI model is trained end-to-end, it can accurately render 

 on characters and the subtle sheen on complex fabrics that traditional shaders struggle to calculate in real-time.

CEO Jensen Huang described DLSS 5 as the 

 where AI no longer just "upscales" but actively "creates" photorealistic pixels to bypass the limitations of raw hardware power.

Compatibility: Which GPUs Support DLSS 5?

While NVIDIA has not officially confirmed back-compatibility, technical analysis from GTC 2026 suggests:

It is widely believed that the GeForce RTX 50-Series and its dedicated Neural Shader cores are required to run the real-time neural rendering models of DLSS 5.

DLSS 5 is built on the same framework as Reflex and prior DLSS versions, ensuring that developers can easily integrate it into existing engines.

First Look: DLSS 5 Supported Games List (Fall 2026)

NVIDIA confirmed that DLSS 5 will launch in Autumn 2026. The initial lineup features some of the biggest titles in gaming:

Summary: Why DLSS 5 is a Game Changer for 2026

NVIDIA DLSS 5 shifts the paradigm from "Brute Force Rendering" to "

." As hardware power reaches diminishing returns, DLSS 5 provides the key to achieving 4K photorealism at high frame rates.

For enthusiasts, the upcoming RTX 50-Series will be the essential gateway to experiencing this "GPT Moment" in gaming.





What is NVIDIA DLSS 5? Announced at GTC 2026, DLSS 5 (Deep Learning Super Sampling 5) is NVIDIA’s next-generation AI graphics technology that introduces Real-Time Neural Rendering.

Unlike previous versions focused on frame interpolation, DLSS 5 uses generative AI models to "understand" scene semantics—automatically synthesizing photorealistic lighting, subsurface scattering for skin, and intricate hair-light interactions to bridge the gap between real-time gaming and cinematic VFX.







From Frame Gen to Light Gen: The Evolution of DLSS 5

Since the launch of the first RTX cards in 2018, DLSS has evolved from simple upscaling to complex frame generation. DLSS 5 marks the most significant breakthrough in 25 years of computer graphics:



Real-Time Neural Rendering

DLSS 5 analyzes a single frame to identify scene semantics—distinguishing between skin, hair, and fabric—while understanding lighting conditions (backlit, overcast, etc.).



Semantic Understanding

Because the AI model is trained end-to-end, it can accurately render Subsurface Scattering (SSS) on characters and the subtle sheen on complex fabrics that traditional shaders struggle to calculate in real-time.



Closing the VFX Gap

CEO Jensen Huang described DLSS 5 as the "GPT Moment for Graphics," where AI no longer just "upscales" but actively "creates" photorealistic pixels to bypass the limitations of raw hardware power.







Compatibility: Which GPUs Support DLSS 5?

While NVIDIA has not officially confirmed back-compatibility, technical analysis from GTC 2026 suggests:



RTX 50-Series (Blackwell Architecture)

It is widely believed that the GeForce RTX 50-Series and its dedicated Neural Shader cores are required to run the real-time neural rendering models of DLSS 5.



NVIDIA Streamline Framework

DLSS 5 is built on the same framework as Reflex and prior DLSS versions, ensuring that developers can easily integrate it into existing engines.



First Look: DLSS 5 Supported Games List (Fall 2026)

NVIDIA confirmed that DLSS 5 will launch in Autumn 2026. The initial lineup features some of the biggest titles in gaming:





AION 2



Assassin’s Creed Shadows



Black State



CINDER CITY



Delta Force



Hogwarts Legacy



Justice



NARAKA: BLADEPOINT



NTE: Neverness to Everness



Phantom Blade Zero



Resident Evil Requiem



Sea of Remnants



Starfield



The Elder Scrolls IV: Oblivion Remastered



Where Winds Meet









Summary: Why DLSS 5 is a Game Changer for 2026

NVIDIA DLSS 5 shifts the paradigm from "Brute Force Rendering" to "AI-Driven Generation." As hardware power reaches diminishing returns, DLSS 5 provides the key to achieving 4K photorealism at high frame rates.

For enthusiasts, the upcoming RTX 50-Series will be the essential gateway to experiencing this "GPT Moment" in gaming.





Experience the 'GPT moment' of gaming with NVIDIA DLSS 5: the ultimate guide to the AI neural rendering revolution launching this Fall.

NVIDIA DLSS 5 Revealed: The "GPT Moment" for Real-Time Neural Rendering

Actualités technologiques

Vivez l'expérience GPT du jeu vidéo avec NVIDIA DLSS 5 : le guide ultime de la révolution du rendu neuronal par IA, disponible cet automne.

NVIDIA DLSS 5 dévoilé : le « moment GPT » pour le rendu neuronal en temps réel

How hot is too hot for a GPU? The short answer: 

If your GPU hits 90°C to 100°C, it has entered the danger zone.

 At this point, modern graphics cards will "thermal throttle," cutting clock speeds to prevent permanent damage, which leads to immediate FPS drops and stuttering.

Normal GPU Temperature Ranges While Gaming (2026 Edition)

 run hotter than ever due to higher power densities. Here is what you should expect:

While 85°C is technically "safe," keeping your card under 80°C is the sweet spot for long-term reliability and consistent boost clocks.

GeForce RTX 50 Series GPUs and Laptops | Game Changer

 to extract every ounce of performance. Your card will push its frequency (MHz) higher and higher until it hits either a power limit or a thermal limit.

Because today's high-end cards are designed to operate at their upper performance limits, they will naturally run hot. Factors like 

 can push these cards past their optimal thermal window.

All You Need for Gaming – AMD RDNA™ 4 and RX 9000 Series Reveal

When a GPU crosses its thermal threshold (usually 

Max Temperatures for NVIDIA, AMD, and Intel GPUs

Finding the "limit" depends on your brand. Here is the 2026 breakdown:

NVIDIA typically lists a "Max GPU Temperature" around 

. Once reached, the card pulls back power.

NVIDIA GeForce RTX 50 Series Thermal and Power Specs

. However, if your regular GPU temperature is over 

Intel cards remain the coolest in the mid-range, typically staying around 

How to Monitor GPU Temperatures in Real-Time

To catch overheating before it ruins your game, use these tools:

3 Ways to Lower GPU Temps Without Taking It Apart

You don't need to be a pro to fix high temps. Try these steps first:

 Reapplying thermal paste to a GPU is much riskier than a CPU. It requires dismantling the entire cooling shroud, which 

 and risks cracking the die. Unless your card is 4+ years old and hitting 100°C despite perfect airflow, leave the factory paste alone.





How hot is too hot for a GPU? The short answer: If your GPU hits 90°C to 100°C, it has entered the danger zone. At this point, modern graphics cards will "thermal throttle," cutting clock speeds to prevent permanent damage, which leads to immediate FPS drops and stuttering.



Normal GPU Temperature Ranges While Gaming (2026 Edition)

In 2026, GPUs like the NVIDIA RTX 50-series and AMD Radeon 9000 run hotter than ever due to higher power densities. Here is what you should expect:





Idle: 30°C – 45°C



Gaming Load: 65°C – 85°C



Maximum Limit: 90°C – 100°C (Throttle Point)

While 85°C is technically "safe," keeping your card under 80°C is the sweet spot for long-term reliability and consistent boost clocks.





(GeForce RTX 50 Series GPUs and Laptops | Game Changer, NVIDIA YouTube)



Why Is My GPU Getting So Hot?

Modern GPUs use Auto-Overclocking (Boost Clocks) to extract every ounce of performance. Your card will push its frequency (MHz) higher and higher until it hits either a power limit or a thermal limit.

Because today's high-end cards are designed to operate at their upper performance limits, they will naturally run hot. Factors like high ambient room temperature, dust buildup, or poor case airflow can push these cards past their optimal thermal window.





(All You Need for Gaming – AMD RDNA™ 4 and RX 9000 Series Reveal, AMD YouTube)



What Happens If Your GPU Overheats?

When a GPU crosses its thermal threshold (usually 90°C/194°F), two things happen:





Thermal Throttling: The card slows itself down. You will notice a sudden dip in frame rates.



Emergency Shutdown: If throttling fails (e.g., a fan failure), your PC will crash to a black screen or spontaneously reboot to protect the silicon from melting.



Max Temperatures for NVIDIA, AMD, and Intel GPUs

Finding the "limit" depends on your brand. Here is the 2026 breakdown:



NVIDIA (RTX 50-Series)

NVIDIA typically lists a "Max GPU Temperature" around 90°C. Once reached, the card pulls back power.





(NVIDIA GeForce RTX 50 Series Thermal and Power Specs)



AMD (Radeon 9000 Series)

AMD uses "Junction Temperature" (Hotspot), which can safely hit 110°C. However, if your regular GPU temperature is over 95°C, your cooling is likely insufficient.



Intel (Arc Battlemage)

Intel cards remain the coolest in the mid-range, typically staying around 60°C - 70°C under load, with a hard limit near 100°C.



How to Monitor GPU Temperatures in Real-Time

To catch overheating before it ruins your game, use these tools:





On-Screen Overlays: NVIDIA App, ASUS GPU Tweak III or MSI Afterburner



Stress Testing: Run Furmark to see the absolute worst-case temperature (Warning: this is hotter than any real game).



System Monitors: Use darkFlash DS950V to track GPU / CPU temps simultaneously.









3 Ways to Lower GPU Temps Without Taking It Apart

You don't need to be a pro to fix high temps. Try these steps first:





Optimize Case Airflow: Ensure your case has a clear "Path of Air." If you have a high-end RTX 5090, Bottom Intake Fans are highly recommended to feed the card fresh air.



Adjust Fan Curves: Use software to make your GPU fans spin faster at 70°C.



Upgrade Your Chassis: If you are using a compact case for a flagship card, it’s likely choking. Moving to a High-Airflow Mid-Tower can drop temps.



Should You Reapply GPU Thermal Paste?

In short: No. Reapplying thermal paste to a GPU is much riskier than a CPU. It requires dismantling the entire cooling shroud, which voids your warranty and risks cracking the die. Unless your card is 4+ years old and hitting 100°C despite perfect airflow, leave the factory paste alone.





Master your PC's thermals with our 2026 GPU temperature guide, covering safe operating ranges and cooling tips for the latest GPUs.

GPU Temperature Guide: How Hot is Too Hot for Your Graphics Card?

Maîtrisez la gestion thermique de votre PC grâce à notre guide des températures GPU 2026, qui couvre les plages de fonctionnement sûres et les conseils de refroidissement pour les GPU les plus récents.

Guide des températures GPU : Quelle est la température maximale admissible pour votre carte graphique ?

Build Guides                                                    

Your PC is running louder than usual, and your frame rates are dropping. You’ve cleaned the dust filters, checked your fans, but the temperatures are still creeping up. The culprit might be the most overlooked component in your build: 

Many users install their CPU cooler once and forget about it for years. However, thermal compound is not permanent. It degrades, dries out, and loses its effectiveness over time.

The Golden Rule: How Long Does Thermal Paste Actually Last?

There is no single expiration date for thermal paste, but there is a general consensus among hardware experts and manufacturers.

Cheaper silicon-based compounds tend to dry out ("cure") faster, leading to cracks and air gaps. Premium compounds often use higher-quality suspensions that stay liquid longer.

However, if you are a heavy user who pushes your PC to its limits (video editing, 4K gaming, AI rendering) daily, the heat cycles will degrade the paste faster than a PC used only for web browsing.

5 Signs Your PC Needs New Thermal Paste Immediately

Your PC will tell you when it’s suffering. If you notice any of these symptoms, it’s time to grab a tube of paste:

If your CPU sits at 50°C+ while doing nothing (and it used to be 35°C), the heat transfer is failing.

Are your fans ramping up to 100% speed just by opening a web browser? This suggests the cooler is struggling to pull heat away from the chip.

If your game suddenly lags or stutters after 30 minutes of play, your CPU/GPU might be slowing itself down to prevent damage.

Sudden shutdowns during intensive tasks are a major red flag.

If you remove your cooler for any reason, 

 replace the paste. Never reuse old paste.

CPU vs. GPU: Why Repasting a Graphics Card is Different

 is a standard maintenance task. It's low risk and easy to do.

In many regions, unscrewing your graphics card backplate may void the manufacturer's warranty.

GPUs often require dealing with delicate thermal pads for VRAM and VRMs in addition to the paste for the core.

Unlike CPUs, which have an Integrated Heat Spreader (IHS), GPU dies are exposed. One mistake in mounting pressure can crack the chip.

Repaste your CPU as regular maintenance. Only repaste your GPU if temperatures are critically high and the warranty has expired.

Why Does Thermal Paste Degrade? (The Pump-Out Effect)

Why doesn't it last forever? Two main reasons:

The solvents in the paste evaporate over time, turning the smooth liquid into a chalky, cracked solid that cannot transfer heat efficiently.

As your CPU/GPU heats up, it expands. When it cools down, it contracts. Over thousands of these heating/cooling cycles, the thermal paste is physically "pumped out" from the center of the chip towards the edges, leaving the hottest part of the processor with little coverage.

(Dried out thermal paste on CPU. Resource: 

Quick Guide: How to Remove and Apply Thermal Paste Correctly

Ready to refresh your PC? Follow these simple steps for the best results:

Use 99% Isopropyl Alcohol and a lint-free cloth (or coffee filter) to completely wipe away the old, crusty paste from both the CPU and the cooler cold plate.

 in the center of the CPU is the most foolproof method for most standard processors.

Tighten your cooler screws in a cross pattern (X pattern) to ensure the paste spreads evenly.

Thermal paste is cheap, but it plays a critical role in the longevity of your expensive hardware. By replacing it every 

, you ensure your PC runs quieter, cooler, and faster. Don't let a $5 dried-up paste ruin your $500 CPU!





Your PC is running louder than usual, and your frame rates are dropping. You’ve cleaned the dust filters, checked your fans, but the temperatures are still creeping up. The culprit might be the most overlooked component in your build: Thermal Paste. 



Many users install their CPU cooler once and forget about it for years. However, thermal compound is not permanent. It degrades, dries out, and loses its effectiveness over time.



The Golden Rule: How Long Does Thermal Paste Actually Last?

There is no single expiration date for thermal paste, but there is a general consensus among hardware experts and manufacturers.





Standard Thermal Paste: Every 2 to 3 years.



High-Performance / Premium Paste: Every 3 to 5 years.



Factory-Applied Paste (Pre-built PCs/Laptops): Often lower quality, recommended to replace after 2 years.

Why the difference? 

Cheaper silicon-based compounds tend to dry out ("cure") faster, leading to cracks and air gaps. Premium compounds often use higher-quality suspensions that stay liquid longer.

However, if you are a heavy user who pushes your PC to its limits (video editing, 4K gaming, AI rendering) daily, the heat cycles will degrade the paste faster than a PC used only for web browsing.







5 Signs Your PC Needs New Thermal Paste Immediately

Your PC will tell you when it’s suffering. If you notice any of these symptoms, it’s time to grab a tube of paste:



Rising Idle Temperatures

If your CPU sits at 50°C+ while doing nothing (and it used to be 35°C), the heat transfer is failing.



Sudden Fan Noise

Are your fans ramping up to 100% speed just by opening a web browser? This suggests the cooler is struggling to pull heat away from the chip.



Thermal Throttling

If your game suddenly lags or stutters after 30 minutes of play, your CPU/GPU might be slowing itself down to prevent damage.



System Crashes

Sudden shutdowns during intensive tasks are a major red flag.



Visual Inspection

If you remove your cooler for any reason, always replace the paste. Never reuse old paste.







CPU vs. GPU: Why Repasting a Graphics Card is Different

Replacing thermal paste on a CPU is a standard maintenance task. It's low risk and easy to do.

However, repasting a GPU is a different beast:



Warranty Risks

In many regions, unscrewing your graphics card backplate may void the manufacturer's warranty.



Complexity

GPUs often require dealing with delicate thermal pads for VRAM and VRMs in addition to the paste for the core.



Direct Die Contact

Unlike CPUs, which have an Integrated Heat Spreader (IHS), GPU dies are exposed. One mistake in mounting pressure can crack the chip.



Our Advice

Repaste your CPU as regular maintenance. Only repaste your GPU if temperatures are critically high and the warranty has expired.







Why Does Thermal Paste Degrade? (The Pump-Out Effect)

Why doesn't it last forever? Two main reasons:



Drying Out

The solvents in the paste evaporate over time, turning the smooth liquid into a chalky, cracked solid that cannot transfer heat efficiently.



The Pump-Out Effect

As your CPU/GPU heats up, it expands. When it cools down, it contracts. Over thousands of these heating/cooling cycles, the thermal paste is physically "pumped out" from the center of the chip towards the edges, leaving the hottest part of the processor with little coverage.





(Dried out thermal paste on CPU. Resource: CPU Ninja)



Quick Guide: How to Remove and Apply Thermal Paste Correctly

Ready to refresh your PC? Follow these simple steps for the best results:



Clean the Old Paste

Use 99% Isopropyl Alcohol and a lint-free cloth (or coffee filter) to completely wipe away the old, crusty paste from both the CPU and the cooler cold plate.







Apply the Right Amount

You don't need much. A pea-sized dot in the center of the CPU is the most foolproof method for most standard processors.







Mount Pressure

Tighten your cooler screws in a cross pattern (X pattern) to ensure the paste spreads evenly.





(darkFlash DN360D Liquid CPU Cooler)



Pro Tip: 

Even the best CPU Cooler or AIO Liquid Cooler cannot perform well if the thermal paste is dry.



Conclusion

Thermal paste is cheap, but it plays a critical role in the longevity of your expensive hardware. By replacing it every 2 to 3 years, you ensure your PC runs quieter, cooler, and faster. Don't let a $5 dried-up paste ruin your $500 CPU!





(darkFlash DN360D Liquid CPU Cooler)

If your PC is running hotter or louder than usual, it might be time to replace your thermal paste.

How Often Should You Replace Thermal Paste? The Ultimate Guide for CPUs and GPUs

Guides de construction

Si votre PC chauffe ou fait plus de bruit que d'habitude, il est peut-être temps de remplacer votre pâte thermique.

À quelle fréquence faut-il remplacer la pâte thermique ? Le guide ultime pour les processeurs et les cartes graphiques

Following the recent price rebound of DDR4 and DDR5 memory, signs are emerging that GPU costs may soon climb as well. With flash and GDDR memory prices trending upward, the entire graphics card supply chain could feel the pressure. Here’s a breakdown of what’s happening and what it means for PC builders and gamers.

The semiconductor memory market is entering another upward cycle.

Recent data from TrendForce and DRAMeXchange shows that both DRAM and NAND flash prices have increased by 15–25% in late 2025, after nearly two years of decline.

Major manufacturers like Samsung, Micron, and SK Hynix have reduced older production lines and redirected capacity to meet surging AI and server demand. This has tightened supply for conventional memory chips used across PC components — from RAM modules to graphics cards.

A modern GPU relies on graphics memory (GDDR) to process and store data such as textures, frames, and shader information. In high-performance graphics cards, GDDR6 and GDDR6X memory modules can account for up to 20–25% of total production cost.

This means that even small changes in memory pricing can directly influence the final cost of a GPU — particularly for models with 

The recent surge in memory prices is not limited to DDR modules.

Both GDDR (Graphics Double Data Rate) and flash memory used in GPUs are also affected, due to several combined factors:

Fabrication capacity is increasingly prioritized for high-bandwidth memory (HBM) used in AI accelerators, which reduces supply for traditional GDDR chips used in gaming GPUs.

As manufacturers move from GDDR6 to GDDR7, production of older chips slows down, leading to higher costs for remaining stock.

Flash storage, used in GPU firmware and BIOS components, has seen double-digit percentage increases this quarter.

Longer delivery schedules and component shortages are prompting board makers to stockpile inventory, adding further cost pressure.

These factors collectively increase the bill of materials (BOM) for GPU production, even before assembly and logistics are considered.

While GPU manufacturers typically try to maintain stable pricing, cost pressure from memory components can eventually filter down to consumers.

Rather than direct MSRP hikes, consumers may see fewer discounts, slower price drops, or “refresh” models with adjusted specifications and memory sizes.

Despite upward cost trends, several factors may help contain large-scale price jumps:

As a result, the adjustment in GPU pricing is more likely to be gradual rather than sudden, depending on how memory supply evolves through 2026.

To understand where GPU pricing is heading, pay attention to:

These indicators can reveal whether memory costs are translating into real-world price movement.

Conclusion: The Memory Ripple Effect Continues

The memory market’s rebound is already visible in DDR4, DDR5, and NAND flash segments — and GPUs may be next in line. As GDDR and flash memory costs increase, graphics cards could gradually become more expensive over the coming months.

For PC builders and gamers, it may be wise to plan upgrades early or watch for clearance deals before the next product generation arrives.

While the increase may not be dramatic, the trend shows a clear reminder: in the tech world, memory prices influence everything — even the heart of your gaming PC.





Following the recent price rebound of DDR4 and DDR5 memory, signs are emerging that GPU costs may soon climb as well. With flash and GDDR memory prices trending upward, the entire graphics card supply chain could feel the pressure. Here’s a breakdown of what’s happening and what it means for PC builders and gamers.



Memory Prices Are Rising Again





(source credit: TrendForce)



The semiconductor memory market is entering another upward cycle.

Recent data from TrendForce and DRAMeXchange shows that both DRAM and NAND flash prices have increased by 15–25% in late 2025, after nearly two years of decline.

Major manufacturers like Samsung, Micron, and SK Hynix have reduced older production lines and redirected capacity to meet surging AI and server demand. This has tightened supply for conventional memory chips used across PC components — from RAM modules to graphics cards.



GPUs Depend Heavily on Memory





A modern GPU relies on graphics memory (GDDR) to process and store data such as textures, frames, and shader information. In high-performance graphics cards, GDDR6 and GDDR6X memory modules can account for up to 20–25% of total production cost.



This means that even small changes in memory pricing can directly influence the final cost of a GPU — particularly for models with large VRAM capacities like 16 GB or 24 GB.



Rising Flash and GDDR Costs



(image credit: Samsung Semiconductor)



The recent surge in memory prices is not limited to DDR modules.
Both GDDR (Graphics Double Data Rate) and flash memory used in GPUs are also affected, due to several combined factors:

AI-Driven Capacity Reallocation

Fabrication capacity is increasingly prioritized for high-bandwidth memory (HBM) used in AI accelerators, which reduces supply for traditional GDDR chips used in gaming GPUs.



Transition to Newer Nodes

As manufacturers move from GDDR6 to GDDR7, production of older chips slows down, leading to higher costs for remaining stock.



NAND/Flash Price Recovery

Flash storage, used in GPU firmware and BIOS components, has seen double-digit percentage increases this quarter.



Extended Lead Times

Longer delivery schedules and component shortages are prompting board makers to stockpile inventory, adding further cost pressure.



These factors collectively increase the bill of materials (BOM) for GPU production, even before assembly and logistics are considered.



Possible Impact on GPU Prices





While GPU manufacturers typically try to maintain stable pricing, cost pressure from memory components can eventually filter down to consumers.
Based on current trends:





Mid-range GPUs could see 5–10% higher production costs.



High-end GPUs with large VRAM or next-generation memory like GDDR7 could rise by 10–20% in total cost.

Rather than direct MSRP hikes, consumers may see fewer discounts, slower price drops, or “refresh” models with adjusted specifications and memory sizes.



Factors That Could Soften the Effect





Despite upward cost trends, several factors may help contain large-scale price jumps:





Softening GPU demand in the DIY and gaming market may encourage manufacturers to absorb part of the increase.



Improving yields of GDDR7 memory could lower per-chip costs over time.



Remaining inventory from earlier production runs may cushion the short-term impact.

As a result, the adjustment in GPU pricing is more likely to be gradual rather than sudden, depending on how memory supply evolves through 2026.



What to Keep an Eye On

To understand where GPU pricing is heading, pay attention to:





Spot and contract prices for GDDR6/GDDR7 on DRAMeXchange or TrendForce



Quarterly reports from Samsung, Micron, and SK Hynix on memory profitability



MSI, ASUS, and Gigabyte pricing adjustments or inventory clearances



Launch prices of upcoming GDDR7-based GPUs

These indicators can reveal whether memory costs are translating into real-world price movement.







Conclusion: The Memory Ripple Effect Continues

The memory market’s rebound is already visible in DDR4, DDR5, and NAND flash segments — and GPUs may be next in line. As GDDR and flash memory costs increase, graphics cards could gradually become more expensive over the coming months.

For PC builders and gamers, it may be wise to plan upgrades early or watch for clearance deals before the next product generation arrives.

While the increase may not be dramatic, the trend shows a clear reminder: in the tech world, memory prices influence everything — even the heart of your gaming PC.

DRAM/NAND prices are climbing and GDDR is tightening. Here’s how memory cost pressure could nudge GPU prices higher.

Will GPU Prices Rise Next? The Ripple Effect of Flash and Memory Cost Surges

Les prix de la mémoire DRAM/NAND augmentent et la disponibilité de la GDDR se raréfie. Voici comment la pression sur le coût de la mémoire pourrait entraîner une hausse des prix des GPU.

Les prix des GPU vont-ils encore augmenter ? Les répercussions de la flambée des coûts de la mémoire flash et de la mémoire vive

How-to Guides                                                   

When building or upgrading a PC, most people focus on GPUs, CPUs, and SSDs — but few realize that PCI Express (PCIe) lanes are the invisible highways that connect these parts together. They determine how fast your GPU communicates with your CPU, how many NVMe SSDs you can use without bottlenecks, and whether your next upgrade will actually perform as expected.

This article breaks down what PCIe lanes are, how they work, what’s new in PCIe Gen4 and Gen5, and how to make smarter choices when planning your system.

A PCIe lane is the fundamental communication channel of the PCI Express interface.

Each lane is made up of two pairs of wires — one pair for transmitting data and another for receiving — which makes PCIe full-duplex (data can flow in both directions at once).

Multiple lanes can be grouped to create wider connections, which you often see labeled as ×1, ×4, ×8, or ×16.

For more info on what is a PCIe Lane, our 

 has a more detailed explanation on the topic.

 Modern systems have two sources of PCIe lanes:

Because chipset lanes share that single DMI link, they can become a bottleneck when multiple high-speed devices — like NVMe SSDs or capture cards — compete for bandwidth.

For example, a typical AMD Ryzen or Intel Core CPU may provide 16–20 direct lanes, usually allocated as:

Everything else — USB controllers, SATA ports, Wi-Fi modules — connects through the chipset’s slower lanes.

Each new PCIe generation doubles the data rate per lane compared to the previous one.

This is why the latest GPUs and SSDs can achieve incredible performance even with fewer allocated lanes.

PCIe Gen5 isn’t just “twice as fast.” It’s also much harder to design for.

At 32 GT/s, every bit of signal loss matters. Motherboard manufacturers must use:

That’s why Gen5 motherboards are more expensive — they need advanced engineering to handle those speeds without data errors.

You won’t “feel” Gen5 speed in everyday tasks unless you’re pushing ultra-high-bandwidth workloads (e.g., 3D rendering, AI training, multi-NVMe RAID). But you will benefit from future-proofing.

Real-World Example: Lane Allocation in Modern CPUs

Let’s visualize a typical setup using a modern Intel or AMD CPU:

├── PCIe x4  → NVMe SSD (M.2 slot)

└── PCIe x4  → Chipset link (DMI / Fabric)

                ├── USB ports

                ├── SATA drives

                ├── Secondary NVMe slots

                └── Network / Wi-Fi cards

When you install a second NVMe drive, your motherboard might share or split lanes — sometimes reducing your GPU from ×16 to ×8. While this doesn’t usually affect gaming performance much (Gen4 ×8 = Gen3 ×16), it’s important to check your motherboard manual to see which slots share bandwidth.

Even with ultra-fast components, bandwidth bottlenecks can occur if you overload the chipset or split CPU lanes inefficiently.

Here’s how lane management affects performance:

Efficient use of CPU lanes ensures each device has a clear, fast path to the processor.

That’s why high-end platforms like AMD Threadripper or Intel Xeon offer 48–128 lanes — perfect for multi-GPU or workstation setups.

The next step, PCIe Gen6, will double speeds again to 64 GT/s per lane using PAM4 (Pulse Amplitude Modulation) signaling — a huge shift in how signals are transmitted.

However, this brings even greater design challenges:

While it may take time before Gen6 reaches consumer PCs, enterprise servers and data centers will adopt it first — paving the way for the next generation of GPUs and SSDs.

PCIe lanes are the circulatory system of your PC — unseen, but vital. Understanding how many lanes your CPU offers, and how they’re allocated, can make the difference between a balanced build and one full of hidden bottlenecks.

As PCIe Gen5 becomes mainstream and Gen6 looms on the horizon, knowing how these lanes work will help you make smarter hardware decisions — whether you’re building a gaming powerhouse, a creative workstation, or a high-speed storage server.





When building or upgrading a PC, most people focus on GPUs, CPUs, and SSDs — but few realize that PCI Express (PCIe) lanes are the invisible highways that connect these parts together. They determine how fast your GPU communicates with your CPU, how many NVMe SSDs you can use without bottlenecks, and whether your next upgrade will actually perform as expected.



This article breaks down what PCIe lanes are, how they work, what’s new in PCIe Gen4 and Gen5, and how to make smarter choices when planning your system.



What Is a PCIe Lane?







A PCIe lane is the fundamental communication channel of the PCI Express interface.
Each lane is made up of two pairs of wires — one pair for transmitting data and another for receiving — which makes PCIe full-duplex (data can flow in both directions at once).



Multiple lanes can be grouped to create wider connections, which you often see labeled as ×1, ×4, ×8, or ×16.





×1: Suitable for small add-in cards like Wi-Fi or capture cards.



×4: Used by NVMe SSDs and M.2 slots.



×16: Dedicated to GPUs for maximum bandwidth.

In short, more lanes = more bandwidth.



For more info on what is a PCIe Lane, our previous article has a more detailed explanation on the topic.



CPU-Supported Lanes vs Chipset Lanes

Not all PCIe lanes are created equal.
 Modern systems have two sources of PCIe lanes:





CPU Lanes: Directly connected to the processor. These offer the lowest latency and highest bandwidth.



Chipset (PCH) Lanes: Routed through the motherboard’s chipset, which connects back to the CPU using a link (called DMI on Intel or Infinity Fabric on AMD).

Because chipset lanes share that single DMI link, they can become a bottleneck when multiple high-speed devices — like NVMe SSDs or capture cards — compete for bandwidth.

For example, a typical AMD Ryzen or Intel Core CPU may provide 16–20 direct lanes, usually allocated as:





16 lanes for the GPU (x16 slot)



4 lanes for the main NVMe SSD



The rest used for the chipset link

Everything else — USB controllers, SATA ports, Wi-Fi modules — connects through the chipset’s slower lanes.



PCIe Generations and Their Speeds

Each new PCIe generation doubles the data rate per lane compared to the previous one.
Let’s look at the numbers:







(GT/s = gigatransfers per second)

In simple terms:





A PCIe Gen4 ×8 slot is about as fast as a Gen3 ×16 slot.



A Gen5 ×8 slot already exceeds Gen4 ×16 speeds — meaning even fewer lanes can deliver massive throughput.


This is why the latest GPUs and SSDs can achieve incredible performance even with fewer allocated lanes.



PCIe Gen4 vs Gen5: The Engineering Leap

PCIe Gen5 isn’t just “twice as fast.” It’s also much harder to design for.

At 32 GT/s, every bit of signal loss matters. Motherboard manufacturers must use:





High-grade PCB materials (low-loss laminates)



Shorter trace lengths



Redrivers or Retimers to maintain signal integrity



Precise impedance control during routing

That’s why Gen5 motherboards are more expensive — they need advanced engineering to handle those speeds without data errors.



For PC builders, the takeaway is this:

You won’t “feel” Gen5 speed in everyday tasks unless you’re pushing ultra-high-bandwidth workloads (e.g., 3D rendering, AI training, multi-NVMe RAID). But you will benefit from future-proofing.



Real-World Example: Lane Allocation in Modern CPUs

Let’s visualize a typical setup using a modern Intel or AMD CPU:

[CPU]

│

├── PCIe x16 → GPU

├── PCIe x4  → NVMe SSD (M.2 slot)

└── PCIe x4  → Chipset link (DMI / Fabric)

                │

                ├── USB ports

                ├── SATA drives

                ├── Secondary NVMe slots

                └── Network / Wi-Fi cards



When you install a second NVMe drive, your motherboard might share or split lanes — sometimes reducing your GPU from ×16 to ×8. While this doesn’t usually affect gaming performance much (Gen4 ×8 = Gen3 ×16), it’s important to check your motherboard manual to see which slots share bandwidth.



Why PCIe Lanes Matter

Even with ultra-fast components, bandwidth bottlenecks can occur if you overload the chipset or split CPU lanes inefficiently.

Here’s how lane management affects performance:





GPU bandwidth: Critical for rendering and compute tasks.



Storage bandwidth: Impacts NVMe SSD transfer rates, especially in RAID.



Add-in cards: Capture cards, NICs, and accelerators can easily saturate chipset lanes.

Efficient use of CPU lanes ensures each device has a clear, fast path to the processor.
That’s why high-end platforms like AMD Threadripper or Intel Xeon offer 48–128 lanes — perfect for multi-GPU or workstation setups.



Future Outlook: PCIe Gen6 and Beyond

The next step, PCIe Gen6, will double speeds again to 64 GT/s per lane using PAM4 (Pulse Amplitude Modulation) signaling — a huge shift in how signals are transmitted.

However, this brings even greater design challenges:





Higher power consumption



More expensive PCB materials



Increased need for error correction (FLIT encoding)


While it may take time before Gen6 reaches consumer PCs, enterprise servers and data centers will adopt it first — paving the way for the next generation of GPUs and SSDs.



Practical Tips for PC Builders





Check lane sharing: Before buying your motherboard, verify which M.2 slots or PCIe slots share lanes with your GPU.



Use CPU lanes for critical devices: Your GPU and main NVMe drive should always occupy CPU-direct lanes.



Don’t obsess over Gen5 (yet): Unless your workload is heavily I/O-bound, Gen4 offers plenty of bandwidth.



Future-proof smartly: Choose a motherboard that supports both Gen4 and Gen5 — it ensures compatibility for years to come.



Balance cooling and bandwidth: High-speed PCIe devices generate extra heat; good airflow and heatsinks are essential.


Conclusion

PCIe lanes are the circulatory system of your PC — unseen, but vital. Understanding how many lanes your CPU offers, and how they’re allocated, can make the difference between a balanced build and one full of hidden bottlenecks.

As PCIe Gen5 becomes mainstream and Gen6 looms on the horizon, knowing how these lanes work will help you make smarter hardware decisions — whether you’re building a gaming powerhouse, a creative workstation, or a high-speed storage server.




PCIe lanes are the hidden highways connecting your CPU, GPU, and SSDs. Learn how CPU lanes differ from chipset lanes, why PCIe Gen5 doubles your bandwidth, and how to design a balanced, bottleneck-free PC build.

Understanding PCIe Lanes: The Hidden Highways of Your PC

Guides pratiques

Les lignes PCIe sont les autoroutes invisibles qui relient votre processeur, votre carte graphique et vos SSD. Découvrez la différence entre les lignes du processeur et celles du chipset, pourquoi le PCIe Gen5 double votre bande passante et comment concevoir un PC performant et sans goulot d'étranglement.