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Ask HN: How to learn CUDA to professional level

AMD Radeon 8050S "Strix Halo" Linux Graphics Performance Review

Cloud Run GPUs, now GA, makes running AI workloads easier for everyone

Hip: C++ Heterogeneous-Compute Interface for Portability

Deepseek R1-0528

Running GPT-2 in WebGL: Rediscovering the Lost Art of GPU Shader Programming

Particle Life simulation in browser using WebGPU

An Almost Pointless Exercise in GPU Optimization

Nvidia Pushes Further into Cloud with GPU Marketplace

We fit 50+ LLMs on 2 GPUs — cold starts under 2s. Here’s how.

[D] usefulness of learning CUDA/triton

LLM GPU calculator for inference and fine-tuning requirements

ubergarm/Qwen3-30B-A3B-GGUF 1600 tok/sec PP, 105 tok/sec TG on 3090TI FE 24GB VRAM

[D] Are weight offloading / weight streaming approaches like in Deepseek Zero used frequently in practice? (For enabling inference on disproportionately undersized GPUs)

Samsung in talks to supply customized HBM4 to Nvidia, Broadcom, Google

GPUs are so bulky now that Asus is using gyroscopes to detect sagging | Asus ROG Astral RTX 5090 includes an accelerometer that ties into GPU Tweak software

Finally got ~10t/s DeepSeek V3-0324 hybrid (FP8+Q4_K_M) running locally on my RTX 4090 + Xeon with with 512GB RAM, KTransformers and 32K context

Do people trying to squeeze every last GB out of their GPU use their IGPU to display to their monitor?

ROCm

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ROCm

AMD ROCm™ Software - GitHub Home

NVIDIA

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k8s-device-plugin

NVIDIA device plugin for Kubernetes

NVIDIA

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open-gpu-kernel-modules

NVIDIA Linux open GPU kernel module source

NVIDIA

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warp

A Python framework for high performance GPU simulation and graphics