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The well-known tech media, TechPowerUp reviewed our latest mini-ITX case, the DLH21, and decided to give it a "Highly Recommended" award!

We're grateful for this recognition, and we'll better ourselves every day.

Congrats!

 

What an honor for us!

 

The well-known tech media, TechPowerUp reviewed our latest mini-ITX case, the DLH21, and decided to give it a "Highly Recommended" award!

 

We're grateful for this recognition, and we'll better ourselves every day.

Let's check out→ DarkFlash DLH 21 Review



Congrats! 
What an honor for us! 
The well-known tech media, TechPowerUp reviewed our latest mini-ITX case, the DLH21, and decided to give it a "Highly Recommended" award! 
We're grateful for this recognition, and we'll better ourselves every day.

DLH21 Get Highly Recommended Award

Berita Teknologi

Tahniah! 
Satu penghormatan buat kami! 
Media teknologi terkenal, TechPowerUp telah mengulas casing mini-ITX terbaru kami, DLH21, dan memutuskan untuk memberikannya anugerah "Sangat Disyorkan"! 
Kami bersyukur atas pengiktirafan ini, dan kami akan memperbaiki diri setiap hari.

DLH21 Dapatkan Anugerah Amat Disyorkan

? NVIDIA RTX Spark is a new superchip platform that combines NVIDIA AI and RTX graphics in one chip for slim Windows laptops and small, ultra-efficient desktops. 

, RTX Spark is designed to deliver AI development, content creation, and gaming in a compact PC form factor. It can scale up to a 6,144-core Blackwell RTX GPU, up to a 20-core Grace CPU, up to 1 petaflop of FP4 AI performance, and up to 128GB of unified memory. In simple terms, RTX Spark is not just a GPU. It is NVIDIA’s vision for the next-generation AI PC.

Why RTX Spark Matters for AI Agents, Creators, and Developers

RTX Spark matters because NVIDIA is trying to turn the PC from a tool into a teammate. The platform is built for AI agents that can run tasks, generate assets, write code, and help users work on demand. For developers, RTX Spark runs the CUDA software stack natively, which means users can prototype, fine-tune, and run inference on AI models locally. 

For creators, RTX Spark supports FP4 Tensor Cores, unified memory, RT Cores, DLSS, 4:2:2 hardware encode/decode, AV1 encoding, NVIDIA Broadcast, and NVIDIA Studio-accelerated apps. That makes it useful for AI workflows, video editing, 3D rendering, streaming, and content production.

For gamers, RTX Spark is important because it brings the full RTX platform into thinner laptops and smaller desktops. NVIDIA lists RTX Spark as 

That means RTX Spark devices are designed not only for AI workloads, but also for modern PC gaming features such as smoother frame generation, lower system latency, and more immersive lighting. 

NVIDIA is working with major publishers and anti-cheat providers to improve Arm PC gaming compatibility, which could help more competitive and live-service games run on this new class of Windows PC.

RTX Spark Laptops and Desktops: What Devices Are Coming?

NVIDIA’s RTX Spark lineup is expected to appear in premium laptops and compact desktops. NVIDIA lists systems such as 

 as part of the RTX Spark device ecosystem. 

RTX Spark desktop PCs are also planned for small, efficient builds that can run personal AI agents 24/7 at a desk while still supporting RTX gaming and creation. This makes RTX Spark especially interesting for users who want more local AI power without building a large workstation tower.

Final Thoughts: RTX Spark Is a New AI PC Category, Not Just a Faster Laptop Chip

NVIDIA RTX Spark is best understood as a new AI PC category. It combines RTX graphics, local AI acceleration, CUDA, unified memory, creator tools, and gaming technologies into one compact platform. For users who want a slim laptop or small desktop that can handle AI agents, creative apps, development work, and RTX gaming, RTX Spark could be a major step forward. 

However, traditional desktop PCs still matter. Full-size desktops offer easier GPU upgrades, larger cooling systems, more PSU flexibility, better airflow, and longer hardware upgrade paths. RTX Spark shows where compact AI PCs are going, while desktop builds remain the better choice for users who want maximum customization and long-term expandability.





What is NVIDIA RTX Spark? NVIDIA RTX Spark is a new superchip platform that combines NVIDIA AI and RTX graphics in one chip for slim Windows laptops and small, ultra-efficient desktops. 

According to NVIDIA, RTX Spark is designed to deliver AI development, content creation, and gaming in a compact PC form factor. It can scale up to a 6,144-core Blackwell RTX GPU, up to a 20-core Grace CPU, up to 1 petaflop of FP4 AI performance, and up to 128GB of unified memory. In simple terms, RTX Spark is not just a GPU. It is NVIDIA’s vision for the next-generation AI PC.







Why RTX Spark Matters for AI Agents, Creators, and Developers





RTX Spark matters because NVIDIA is trying to turn the PC from a tool into a teammate. The platform is built for AI agents that can run tasks, generate assets, write code, and help users work on demand. For developers, RTX Spark runs the CUDA software stack natively, which means users can prototype, fine-tune, and run inference on AI models locally. 

For creators, RTX Spark supports FP4 Tensor Cores, unified memory, RT Cores, DLSS, 4:2:2 hardware encode/decode, AV1 encoding, NVIDIA Broadcast, and NVIDIA Studio-accelerated apps. That makes it useful for AI workflows, video editing, 3D rendering, streaming, and content production.



What Does RTX Spark Mean for Gaming?





For gamers, RTX Spark is important because it brings the full RTX platform into thinner laptops and smaller desktops. NVIDIA lists RTX Spark as Game Ready, with support for ray-traced lighting, the full DLSS suite, NVIDIA Reflex, and G-SYNC. 

That means RTX Spark devices are designed not only for AI workloads, but also for modern PC gaming features such as smoother frame generation, lower system latency, and more immersive lighting. 







NVIDIA is working with major publishers and anti-cheat providers to improve Arm PC gaming compatibility, which could help more competitive and live-service games run on this new class of Windows PC.









RTX Spark Laptops and Desktops: What Devices Are Coming?





NVIDIA’s RTX Spark lineup is expected to appear in premium laptops and compact desktops. NVIDIA lists systems such as ASUS ProArt P16, Dell XPS 16, HP OmniBook X 14, Lenovo Yoga Pro 9n, Microsoft Surface Laptop Ultra, and MSI Prestige N16 Flip AI+ as part of the RTX Spark device ecosystem. 

RTX Spark desktop PCs are also planned for small, efficient builds that can run personal AI agents 24/7 at a desk while still supporting RTX gaming and creation. This makes RTX Spark especially interesting for users who want more local AI power without building a large workstation tower.







Final Thoughts: RTX Spark Is a New AI PC Category, Not Just a Faster Laptop Chip

NVIDIA RTX Spark is best understood as a new AI PC category. It combines RTX graphics, local AI acceleration, CUDA, unified memory, creator tools, and gaming technologies into one compact platform. For users who want a slim laptop or small desktop that can handle AI agents, creative apps, development work, and RTX gaming, RTX Spark could be a major step forward. 

However, traditional desktop PCs still matter. Full-size desktops offer easier GPU upgrades, larger cooling systems, more PSU flexibility, better airflow, and longer hardware upgrade paths. RTX Spark shows where compact AI PCs are going, while desktop builds remain the better choice for users who want maximum customization and long-term expandability.

What is NVIDIA RTX Spark? It is a new NVIDIA AI PC superchip that combines RTX graphics, CUDA, unified memory, AI agents, creator tools, and gaming features in slim laptops and compact desktops.

NVIDIA RTX Spark Explained: What Gamers and AI PC Users Should Know

Apakah NVIDIA RTX Spark? Ia merupakan cip super PC AI NVIDIA baharu yang menggabungkan grafik RTX, CUDA, memori tersatu, ejen AI, alatan pencipta dan ciri permainan dalam komputer riba yang nipis dan desktop padat.

NVIDIA RTX Spark Dijelaskan: Apa Yang Perlu Diketahui oleh Pemain dan Pengguna PC AI

Which AI model should you use in 2026? GPT is more suitable for all-around AI assistant, Gemini is strongest for Google services and visual/video workflows, Claude is excellent for writing and code reasoning, and Grok is useful for real-time trends and social-first content ideas. 

The fair answer is that there is no single “

” model for every user. If you need one general AI tool, GPT is the safest starting point. If your work lives in Google Workspace, Gemini is often more convenient. If you care about polished long-form writing, Claude is very strong. If you follow fast-moving social trends, Grok has a clear advantage.

ChatGPT: Suitable for General AI, Coding, and Image Generation

ChatGPT is the most balanced choice for general use. It works well for writing, translation, brainstorming, learning, summarizing, planning, coding, and structured problem-solving. Its biggest ecosystem advantage is 

(ChatGPT APP), OpenAI’s coding agent that can help write, review, debug, and ship code across local or remote development environments. 

ChatGPT is also strong for image generation: 

 can create and edit images, adjust details, work with uploaded references, and generate visuals in different aspect ratios. However, OpenAI’s Sora web/app experience has been discontinued, so ChatGPT should not be described as the strongest consumer video-generation option right now.

Gemini: Best for Google Workspace, Images, and Video Generation

Gemini is strongest when your workflow already depends on Google. It can connect with Gmail, Docs, Sheets, Slides, Drive, Calendar, and other 

, making it useful for summarizing emails, drafting documents, analyzing spreadsheets, preparing slides, and searching files. 

Gemini is also one of the strongest choices for visual creation because Google supports image generation and editing through Nano Banana models, while 

 models support video generation workflows. For marketers, students, creators, and Workspace-heavy teams, Gemini may be more practical than GPT simply because it lives closer to the files and apps they already use.

Claude: Best for Writing, Editing, and Code Reasoning

Claude is especially strong for long-form writing, editing, document analysis, careful reasoning, and code review. It is a good choice when tone, structure, and clarity matter, such as blog posts, white papers, technical documentation, scripts, reports, and detailed explanations. 

 also supports programming workflows through a terminal-based tool. For 

, Claude can analyze uploaded images and create diagrams, charts, or interactive visuals using HTML/SVG, but Anthropic states that Claude does 

 generate photos or illustrations like dedicated image-generation tools.

Grok: Best for Real-Time Trends, Social Research, and Grok Imagine

. It is useful for tracking public conversations, fast-moving trends, memes, news reactions, and content angles from X-style discussions. 

, which supports image and video generation, including image editing, text-to-video, image-to-video, and video editing through supported models. 

That gives Grok a stronger visual creation role than Claude, especially for users who want fast social-first creative ideas. Still, for polished long-form writing, deep workplace integration, or production coding workflows, GPT, Gemini, or Claude may be better depending on the task.

Final Thoughts: Build an AI Toolkit, Not a One-Model Habit

The best AI model in 2026 depends on the job. 

For many users, the smartest setup is not one AI model, but a small toolkit: GPT for general work, Gemini for Google and video, Claude for writing, and Grok for trend discovery.





Which AI model should you use in 2026? GPT is more suitable for all-around AI assistant, Gemini is strongest for Google services and visual/video workflows, Claude is excellent for writing and code reasoning, and Grok is useful for real-time trends and social-first content ideas. 

The fair answer is that there is no single “best” model for every user. If you need one general AI tool, GPT is the safest starting point. If your work lives in Google Workspace, Gemini is often more convenient. If you care about polished long-form writing, Claude is very strong. If you follow fast-moving social trends, Grok has a clear advantage.



ChatGPT: Suitable for General AI, Coding, and Image Generation





ChatGPT is the most balanced choice for general use. It works well for writing, translation, brainstorming, learning, summarizing, planning, coding, and structured problem-solving. Its biggest ecosystem advantage is Codex (ChatGPT APP), OpenAI’s coding agent that can help write, review, debug, and ship code across local or remote development environments. 

ChatGPT is also strong for image generation: ChatGPT Images can create and edit images, adjust details, work with uploaded references, and generate visuals in different aspect ratios. However, OpenAI’s Sora web/app experience has been discontinued, so ChatGPT should not be described as the strongest consumer video-generation option right now.

Best for:





General AI assistant



Coding and debugging



Codex-based development workflows



Image generation and image editing



Writing, translation, planning, and research drafts

Not ideal for:





Native Google Workspace workflows



Users whose main need is video generation



Real-time social trend tracking as the core task



Gemini: Best for Google Workspace, Images, and Video Generation





Gemini is strongest when your workflow already depends on Google. It can connect with Gmail, Docs, Sheets, Slides, Drive, Calendar, and other Workspace tools, making it useful for summarizing emails, drafting documents, analyzing spreadsheets, preparing slides, and searching files. 

Gemini is also one of the strongest choices for visual creation because Google supports image generation and editing through Nano Banana models, while Google Flow and Veo models support video generation workflows. For marketers, students, creators, and Workspace-heavy teams, Gemini may be more practical than GPT simply because it lives closer to the files and apps they already use.

Best for:





Gmail, Docs, Sheets, Slides, Drive, and Calendar users



Google Workspace productivity



Image generation and editing



Video generation with Veo / Flow



Marketing, social content, presentations, and planning

Not ideal for:





Users outside the Google ecosystem



Local coding or deployment tasks



Repo-level coding agent workflows



Claude: Best for Writing, Editing, and Code Reasoning





Claude is especially strong for long-form writing, editing, document analysis, careful reasoning, and code review. It is a good choice when tone, structure, and clarity matter, such as blog posts, white papers, technical documentation, scripts, reports, and detailed explanations. 

Claude Code also supports programming workflows through a terminal-based tool. For image-related tasks, Claude can analyze uploaded images and create diagrams, charts, or interactive visuals using HTML/SVG, but Anthropic states that Claude does not generate photos or illustrations like dedicated image-generation tools.

Best for:





Long-form writing



Article editing and rewriting



Technical documentation



Code review and reasoning



Document analysis



Diagrams, charts, and structured visuals

Not ideal for:





Native photo or illustration generation



Video generation



Google-native productivity workflows



Real-time social trend monitoring



Grok: Best for Real-Time Trends, Social Research, and Grok Imagine





Grok’s biggest advantage is its social and real-time orientation. It is useful for tracking public conversations, fast-moving trends, memes, news reactions, and content angles from X-style discussions. 

xAI also offers Grok Imagine, which supports image and video generation, including image editing, text-to-video, image-to-video, and video editing through supported models. 

That gives Grok a stronger visual creation role than Claude, especially for users who want fast social-first creative ideas. Still, for polished long-form writing, deep workplace integration, or production coding workflows, GPT, Gemini, or Claude may be better depending on the task.

Best for:





Real-time trends



Social media topic discovery



Fast content ideation



Image and video generation with Grok Imagine



News reactions and meme-based angles

Not ideal for:





Polished long-form writing as the main task



Deep Google Workspace integration



Production-level coding workflows



High-stakes research without source checking



Final Thoughts: Build an AI Toolkit, Not a One-Model Habit

The best AI model in 2026 depends on the job. 





Choose ChatGPT if you want the most flexible assistant with strong coding and image-generation tools. 



Choose Gemini if you work inside Google services or need image and video creation. 



Choose Claude if your priority is writing, editing, documentation, and code reasoning. 



Choose Grok if you need real-time social trends and fast visual/content ideas. 

For many users, the smartest setup is not one AI model, but a small toolkit: GPT for general work, Gemini for Google and video, Claude for writing, and Grok for trend discovery.

Which AI model should you use in 2026? Learn the strengths of GPT, Gemini, Claude, and Grok for coding, Google Workspace, writing, video generation, and real-time trends.

2026 AI Language Model Guide: GPT, Gemini, Claude, and Grok Explained

Model AI yang manakah patut anda gunakan pada tahun 2026? Ketahui kekuatan GPT, Gemini, Claude dan Grok untuk pengekodan, Google Workspace, penulisan, penjanaan video dan trend masa nyata.

Panduan Model Bahasa AI 2026: Penjelasan GPT, Gemini, Claude dan Grok

Why are motherboard prices rising in 2026? The short answer is that PCB and component costs are climbing while DIY PC demand is getting weaker. According to reports from 

, major motherboard makers such as ASUS, GIGABYTE, and MSI are preparing or already applying price adjustments in Q3 2026. 

The biggest pressure comes from PCB costs, which are reportedly expected to rise by at least 50% this year, along with higher prices for copper, capacitors, power components, and controller chips.

A motherboard is not just a flat circuit board. It includes multiple PCB layers, power delivery components, capacitors, controllers, slots, ports, heatsinks, and firmware support. When upstream PCB and component prices rise, motherboard brands cannot easily avoid the impact. 

AI servers and enterprise platforms are also competing for many of the same supply chain resources, and those customers often place larger, higher-margin orders. That leaves consumer motherboard makers with higher costs and less bargaining power.

How Much Are Motherboard Prices Increasing?

The reported ASUS price changes are not massive per board, but they add more pressure to already expensive PC builds.

(Image for illustration only. Not a specific product model.)

Should gamers rush to buy a new motherboard before prices rise further? Not necessarily. If your current platform still performs well, a motherboard upgrade alone rarely improves gaming FPS. The bigger question is whether you are also upgrading CPU, RAM, GPU, storage, or case layout. 

With memory and GPU prices already high, many users may be better off extending their current system instead of forcing a full platform upgrade. If you do need a new motherboard, focus on practical features: enough RAM slots, stable VRM cooling, useful rear I/O, front USB-C support, M.2 slots, and compatibility with your case and cooler.

Final Thoughts: Build Around Parts That Last

Motherboard price increases may look small at first, but they are part of a larger 2026 PC hardware cost problem. PCB materials, memory, GPUs, and enterprise AI demand are all pushing the DIY market into a more expensive cycle. 

For PC builders, the smartest move is to spend carefully on parts that last across multiple upgrades. A reliable darkFlash case, stable PSU, strong CPU cooler, AIO liquid cooler, cooling fans, and DDR4 or DDR5 memory can help protect your build even if motherboard and GPU prices continue to move. Instead of upgrading just because prices are rising, build a platform that stays cool, stable, and upgrade-ready.





Why are motherboard prices rising in 2026? The short answer is that PCB and component costs are climbing while DIY PC demand is getting weaker. According to reports from Videocardz and Wccftech, major motherboard makers such as ASUS, GIGABYTE, and MSI are preparing or already applying price adjustments in Q3 2026. 

The biggest pressure comes from PCB costs, which are reportedly expected to rise by at least 50% this year, along with higher prices for copper, capacitors, power components, and controller chips.





(Reports from Board Channels)



Why PCB Costs Matter So Much

A motherboard is not just a flat circuit board. It includes multiple PCB layers, power delivery components, capacitors, controllers, slots, ports, heatsinks, and firmware support. When upstream PCB and component prices rise, motherboard brands cannot easily avoid the impact. 







AI servers and enterprise platforms are also competing for many of the same supply chain resources, and those customers often place larger, higher-margin orders. That leaves consumer motherboard makers with higher costs and less bargaining power.



How Much Are Motherboard Prices Increasing?

The reported ASUS price changes are not massive per board, but they add more pressure to already expensive PC builds.





Intel Z890 / Z790 / B860: reportedly rising by RMB 20-30, roughly US$2.80-4.20



Intel B760: reportedly rising by RMB 20-25, roughly US$2.80-3.50



Intel H-series: reportedly rising by RMB 5-10, roughly US$0.70-1.40



AMD X870: reportedly rising by RMB 30-50, roughly US$4.20-7.00



AMD B850: reportedly rising by RMB 20, roughly US$2.80





(Image for illustration only. Not a specific product model.)



Should You Buy a New Motherboard Now?

Should gamers rush to buy a new motherboard before prices rise further? Not necessarily. If your current platform still performs well, a motherboard upgrade alone rarely improves gaming FPS. The bigger question is whether you are also upgrading CPU, RAM, GPU, storage, or case layout. 

With memory and GPU prices already high, many users may be better off extending their current system instead of forcing a full platform upgrade. If you do need a new motherboard, focus on practical features: enough RAM slots, stable VRM cooling, useful rear I/O, front USB-C support, M.2 slots, and compatibility with your case and cooler.





(Image for illustration only. Not a specific product model.)



Final Thoughts: Build Around Parts That Last

Motherboard price increases may look small at first, but they are part of a larger 2026 PC hardware cost problem. PCB materials, memory, GPUs, and enterprise AI demand are all pushing the DIY market into a more expensive cycle. 

For PC builders, the smartest move is to spend carefully on parts that last across multiple upgrades. A reliable darkFlash case, stable PSU, strong CPU cooler, AIO liquid cooler, cooling fans, and DDR4 or DDR5 memory can help protect your build even if motherboard and GPU prices continue to move. Instead of upgrading just because prices are rising, build a platform that stays cool, stable, and upgrade-ready.

Why are motherboard prices rising in 2026? PCB costs, copper, power components, AI demand, and weaker DIY shipments are putting pressure on ASUS, GIGABYTE, and MSI boards.

Why Are Motherboard Prices Rising in 2026? PCB Costs Explained

Mengapakah harga papan induk meningkat pada tahun 2026? Kos PCB, tembaga, komponen kuasa, permintaan AI dan penghantaran DIY yang lebih lemah memberi tekanan kepada papan ASUS, GIGABYTE dan MSI.

Mengapa Harga Papan Induk Meningkat pada 2026? Kos PCB Dijelaskan

Dilahirkan daripada minat bersama terhadap permainan dan pembinaan PC, darkFlash berdedikasi untuk mencipta produk yang menggabungkan reka bentuk tersendiri, prestasi yang andal dan inovasi yang bernas.

Dengan membina, menguji dan menggunakan casing PC, penyelesaian penyejukan, kipas casing, perabot permainan dan aksesori kami secara peribadi, kami memperoleh pemahaman yang lebih mendalam tentang apa yang benar-benar diperlukan oleh pengguna. Setiap produk dibangunkan dengan tujuan, diperhalusi melalui pengalaman dan direkayasa untuk meningkatkan cara orang ramai membina, bermain dan mencipta.

Matlamat kami mudah: untuk memperkasakan setiap pengguna dengan produk yang berprestasi terbaik dan memberi inspirasi kepada mereka untuk membina tanpa had.

darkFlash

Born from a shared passion for gaming and PC building, darkFlash is dedicated to creating products that combine distinctive design, reliable performance, and thoughtful innovation.

By personally building, testing, and using our PC cases, cooling solutions, case fans, gaming furniture, and accessories, we gain a deeper understanding of what users truly need. Every product is developed with purpose, refined through experience, and engineered to elevate the way people build, play, and create.

Our goal is simple: to empower every user with products that perform at their best and inspire them to build without limits.