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Stop struggling with WebGPU shaders. Learn WGSL architecture, render pipelines, and how to implement professional highlighting in your web IDE. The post Mastering WebGPU Shader Imp...
NVIDIA’s dominance in AI hardware is a software story as much as a chip story. Comparing CUDA, AMD’s ROCm, and the slow, still-unfinished emergence of SYCL and WebGPU as genuinely...
Всем привет! Сегодня я расскажу вам свой путь к написанию демона для работы с видеокартами (пока только с Nvidia).Для начала немного предысториио себе, для меня линукс не новинка,...
I wanted to start experimenting with AI for a while. At work, I didn't really have enough time to properly explore this new ecosystem and understand how these tools could be used....
<p class="wp-block-paragraph"><em>Field Note — one real failure, the wrong diagnosis, the actual cause, the fix.</em></p> <p class="wp-blo...
This article provides a step by step deployment guide for Gemma 4 E2B's quantization-aware-trained (QAT) checkpoint to a local, laptop hosted GPU enabled system — a much old...
Vercel has open-sourced vgpu, the WebGPU library it built to ship the shaders on vercel.com. It treats .wgsl files as importable TypeScript modules, runs the same shader in the bro...
The AMD GFX1250 IP is what's used by the new Instinct MI450 series accelerators. That's been around within the Linux kernel, AMDGPU LLVM compiler back-end, and related codebases th...
1. Introduction: Anatomy of the BottleneckContinue reading on Medium »
I've been working on SoftRDP, a software implementation of the Nintendo 64 Reality Display Processor optimized for modern CPUs. Performance I did an end-to-end comparis...
Rust Has Entered the Kernel. Now Comes the Dangerous Part. A kernel driver does not fail politely. It does not throw a friendly exception, generate a neat stack trace, and ask whet...
Researchers at IIT-Delhi have developed India’s first working and demonstrable indigenously designed micro Graphics Processing Unit (micro-GPU), marking a significant step towards...
Of course, only ASIC is relevant today. But before bitcoin asics became available, fpga based bitcoin mining out competed gpus. Back at that time, gpus were mainly floating point o...
AMD is building out what they are describing as an "elite" team of developers for driving Rust code "deep into the GPU stack" from firmware to drivers, shader compilers, and other...
AI development is no longer limited to large technology companies. Developers and businesses are increasingly using GPU infrastructure for model inference, image generation, video...
Gemma 4 31B performance tests offer a best-case scenario for next-gen dataflow accelerators
Ollama GPU requirements range from about 3‑4 GB of VRAM for a small 3B model to around 50 GB for [...] Read More... The post Ollama GPU requirements: VRAM, RAM, and GPU guide appea...
TornadoVM, an open-source heterogeneous programming framework for Java has reached version 7.0. It automatically accelerates Java programs on multi-core CPUs and GPUs and provides...
Привет, Хабр! Наконец-то я закончил работу над новым большим блоком RedByteFX, тем самым, который в планах звучал скромно: “а ещё было бы неплохо OpenGL ES”. “Неплохо” растянулось...
Discover NVIDIA Nsight Python, an open-source interface that allows developers to profile GPU kernels, analyze hardware metrics, evaluate cache and clock controls, and measure kern...
Traditionally, production inference systems rely on generic kernels to handle diverse...
<p class="wp-block-paragraph">You added GPUs to make your LLM serving faster, and tokens-per-second barely moved. The dashboard says the GPUs are 40%</p>
NVIDIA’s introduction of the NVFP4 format for its Blackwell GPUs offers a compact four-bit floating-point representation designed to optimize AI workloads. As highlighted by The St...
The Register: Nvidia says its Groq 3 LPX racks delivered 3,400 tokens per second in an Artificial Analysis benchmark running Gemma 4 31B with a 100,000-token input sequence — Nvi...
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