Social Media Ideas for Gpu Acceleration

Accelerate LLM model loading and increase context windows with GPUDirect on Amazon FSx for Lustre and TurboQuant

If you’re iterating on deploying large language models (LLMs) on AWS GPU instances, you’ve probably noticed the larger the model to be loaded into GPU High Bandwidth Memory (HBM),...

Photoshop options?

Even a very modest graphics card can make a huge difference. When I’m stacking my multiple astro images (I can have up to 150 images of 50Mbyte each) without a GPU it can take arou...

WebGPU Just Hit Baseline. The Browser Is Now a GPU Target.

Graphics was the headline. Compute shaders and in-page AI inference are the story.Continue reading on Medium В»

Your AI is Ready. Your GPU Isn't. Here's the Fix.

<!-- ============================================================ ARTICLE: GPU Bursting with NetApp FlexCache Blog: [Your Blog Name] | Personal views only Last updated: June 202...

Vortex 3.0 RISC-V GPGPU, Pragtical SDL GPU Backend, NVIDIA RTX Spark Launch

Vortex 3.0 RISC-V GPGPU, Pragtical SDL GPU Backend, NVIDIA RTX Spark Launch Today's Highlights Today's top stories highlight significant advancements in open-source GP...

Sejong University's research institute accelerating development of next-generation GUP technology

The Future GPU Research Institute of Sejong University is accelerating the development of core technologies for next-generation graphics processing units (GPU) and artificial intel...

Self-Hosted Inference Doesn’t Have to Be a Nightmare: How to Use GPUStack

The Problem Nobody Warned You About You bought the GPUs. Maybe you've got a couple of NVIDIA A100s in a rack, some RTX 4090s under desks, or a Kubernetes cluster with mixed hardwar...

Microsoft tests Windows AI features on RTX GPUs, not just NPUs

An under-the-hood change in Windows seems to signal the further deterioration of Microsoft’s Copilot+ branding, which, at least historically, depended solely on NPUs as the engine...

GPUs Dominate NPUs for Running Local LLM Workflows

As the demand for local AI workflows grows, understanding the differences between Neural Processing Units (NPUs) and Graphics Processing Units (GPUs) is increasingly important. NPU...

NVIDIA RTX Spark superchip wins support across post and VFX

NVIDIA's RTX Spark pairs a Blackwell GPU with a 20-core Grace CPU for 1 petaflop of AI compute. Adobe is rebuilding Premiere and Photoshop for it, and Blackmagic Design, OTOY, and...

FirstVDS запустил vGPU-серверы на базе NVIDIA L40S и сравнил их с физическими GPU 

Источник: Компьютерра - Журнал о науке и технологиях Провайдер FirstVDS запустил тарифы с виртуальными GPU (vGPU) на базе NVIDIA L40S. Теперь в линейке два варианта: можно арендов...

NVIDIA: DFlash block diffusion accelerates autoregressive LLMs

Deploying DFlash block diffusion on NVIDIA hardware accelerates autoregressive LLMs during latency-sensitive inference. Autoregressive large language models generate tokens sequent...

Intel's mysterious new datacenter GPU is what Nvidia's Rubin CPX nearly was

Nvidia's prefill accelerator was shelved, but Chipzilla's Crescent Island could fill the void

AMD’s FSR SDK 2.3 makes FSR 4.1 upscaling work on older GPUs

SDK for games and CG software developers now supports FSR 4.1 AI upscaling on RDNA 3 GPUs like the Radeon RX 7000 Series.

AI infrastructure has entered its operational era

Buying GPUs is the easy part; operationalizing them is the real challenge. Discover how secure, automated infrastructure helps bridge the gap between deployment and business value—...

Velda Redefines Serverless GPU Computing for AI Developers and Batch Workloads

GPU Scaling from 1 to 261120 threads Part 2

In Part 1, we saw the results and analysis of scaling threads in single warp on single SM and why the stalls had to be interleaved with…Continue reading on Medium В»

Fix Removes Major High Core CPU Bottlenecks

A hidden threading bottleneck was slowing video encoding on powerful workstations which was later solved by a software fix. How? AMD has contributed performance improvements to the...

Uncle Sam's next big supercomputer might use something more exotic than GPUs

Chip startup NextSilicon's high-performance-computing-focused accelerators get Sandia National Lab's stamp of approval

Macで外付けGPUが使える「TinyGPU」をRTX 5060 Tiで検証　実用性と浮き彫りになった課題

Apple Silicon MacでNVIDIA製GPUを動かしCUDA環境を実現する「TinyGPU」を試してみた。高いセキュリティを維持したまま動作する画期的な新技術の導入手順から、最新GPUを用いた検証、現時点の課...

When GPU Utilization Lies: The Hidden Systems Problem Slowing Modern AI

Why “average utilization” lies about how full your GPUs really are The post When GPU Utilization Lies: The Hidden Systems Problem Slowing Modern AI appeared first on Towards Data S...

Kimi K2.5 runs on RTX 3060 with 768GB Intel Optane memory at 4 tokens per second

This experiment highlights the potential for democratizing AI access, enabling advanced models to run on more affordable, widely available hardware. The post Kimi K2.5 runs on RTX...

High-Level Quantum Modeling and GPU Acceleration in Financial Computational Optimization

The financial sector depends heavily on resolving dense computational problems associated with portfolio risk management and asset pricing. As portfolios expand and market conditio...

GPU-Resident Top-K for Agentic RAG: I Built a CUDA Kernel So My Retrieval Step Would Stop Bouncing Off the GPU

The PCIe transfer latency is silently bottlenecking your agentic inference. Here is how building a custom device-resident vector search kernel bypasses the CPU to unlock determinis...