Recent posts tagged gpu

What is WebGPU, in one paragraph? WebGPU is a modern browser API that gives JavaScript direct, low-overhead access to your graphics card. It replaces WebGL, which was built mainly for drawing. WebGPU is modeled on native APIs like Vulkan, Metal and ...

I have been diving deep into GPU architecture recently—balancing hands-on coding with studying Programming Massively Parallel Processors PMPP—and I am thrilled to share that I just earned my AMD Certified Associate credential along the way. To truly...

GPU passthrough is a virtualisation method used to directly assign a physical graphics processing unit to a single VM, ultimately bypassing the virtualisation software layers like the NVIDIA Virtual GPU vGPU1 manager. In this configuration, the physi...

Phone prices are climbing this year largely because memory is scarce - AI data centers are buying DRAM faster than fabs can make it. That same squeeze shows up in your cloud bill, and it changes which knob you turn first when inference gets expensive...

Motivation For quite a while I wanted to find out how NVIDIA really works under the hood. One of the greatest unknowns for me was how GPU code is compiled, packaged and loaded. So I accepted my own challenge: let's try and decode machine code runni...

If you've worked with PyTorch, you've probably written something like model.cuda and watched your model start running on the GPU. But what actually happened after that? How does a line of Python eventually turn into thousands of threads doing computa...

I've been trying to understand what actually happens when a piece of ML code reaches the GPU. Not the usual model.cuda and GPU go brrrr kind of understanding, but the actual stuff underneath it — threads, warps, memory, kernel launches, and why some ...

A few months ago, if you'd asked me what a GPU actually does, I would've mumbled something about "graphics" and changed the subject. I'm an undergrad, self-taught in most of what I know about programming, and until recently, GPUs were just... backgr...

Google's Gemma-4 release changed the game for local AI development. The 26B Mixture of Experts model, combined with Unsloth's QAT quantization and llama.cpp's -cmoe memory-split flag, makes it possible to run a 26-billion parameter model on an everyd...

Snowflake Brings Native NVIDIA GPU Acceleration to ML Workflows—No Code Changes Required Snowflake announced it's embedding NVIDIA's CUDA-X libraries directly into its ML platform. The integration enables data scientists to run GPU-accelerated mach...

Breaking Down the Walls: How Open Storage Architecture is Revolutionizing AI Infrastructure The enterprise AI landscape is at a crossroads. As organizations grapple with soaring infrastructure costs and the complexities of managing massive datasets...

The parallel processing power of a Graphics Processing Unit GPU is designed to handle massive amounts of data in parallel, making it particularly well-suited for tasks like graphics rendering, scientific simulations, and machine learning. In contrast...

Graid Technology Revolutionizes Storage Performance with GPU-Accelerated RAID for Developers The storage landscape for high-performance computing and AI development is undergoing a fundamental transformation. Traditional CPU-based RAID solutions ha...

Debugging Shaders on macOS: Instruments vs. Gpumkat Debugging and optimizing Metal shaders on macOS has long been reliant on Apple's Instruments tool. However, a new alternative, gpumkat, has emerged, offering a different approach with enhanced deb...