✂️ CUTLASS - miterion

Less-relevant results

Unfinished Business: 1974 Oldsmobile Cutlass Supreme

🚀Compiler Optimization

barnfinds.com·

Exploiting GPU Tensor Cores from Java using Babylon

🎯Tensor Cores

inside.java·

NVIDIA chip powers local AI workloads

🎮NVIDIA

edn.com·

APEX4: Efficient Pure W4A4 LLM Inference via Intra-SM Compute Rebalancing

⚡Cuda Academic

arxiv.org·

NVIDIA's RTX 5060 May Finally Get The VRAM Upgrade Gamers Wanted

⚡Cuda News

hothardware.com·

Train Models Faster with JAX and MaxText Using NVFP4 on NVIDIA Blackwell

🔄ONNX News Blog

developer.nvidia.com·

NVIDIA Accelerates Google DeepMind’s DiffusionGemma for Local AI

🎮NVIDIA Blog

blogs.nvidia.com·

Surface Laptop Ultra vs MacBook Pro M5 Max: Does NVIDIA's RTX Spark Actually Change the Game?

🔥PyTorch

memeburn.com·

1-bit and 1.58 bit LLM Benchmarking on Jetson Orin Nano Super | Bonsai LM

⏱️Benchmarking

smolhub.com··r/LocalLLaMA

NVIDIA’s New RTX Spark Superchip Changes Everything for On-the-Go 12K Video Editing and 3D Rendering

🎮NVIDIA

canonrumors.com·

KaiFelixBennett/gemma4-turboquant-rdna4: Run Gemma-4-31B at full 256K context on a $1,400 AMD RDNA4 GPU (gfx1201): TurboQuant KV cache + HIP-graph-safe Flash-Attention for llama.cpp, fully measured on real hardware.

👁️Attention Optimization Code

github.com··Hacker News

From GPU to Token: The 8-Layer Observability Stack for AI Infrastructure

🔥PyTorch Blog

jimmysong.io·

Build a local voice agent with Red Hat OpenShift AI

🔥PyTorch

developers.redhat.com·

Unreleased RTX 3050 Ti engineering sample appears in photos and benchmarks — the RTX 3060 alternative that never happened

⚡Cuda News

tomshardware.com

Vortex 3.0 Released As Full-Stack, Open-Source RISC-V GPU Now With 3D Pipeline

⚡Cuda

phoronix.com·

RightNow-AI/AutoMegaKernel: An agent harness that compiles a model into one provably-correct, self-retargeting CUDA megakernel and self-tunes it past cuBLAS at batch-1 LLM decode.

🔢cuBLAS Code

github.com··Hacker News

Vortex expands open RISC-V graphics

⚡Cuda

jonpeddie.com·

Nvidia's RTX Spark is a developer's dream, but AMD's Ryzen AI Max+ is what most people actually need for local AI

🎮NVIDIA

xda-developers.com·

KJLdefeated/RL.cu: RLVR training for LLM in CUDA/C++

Exploiting GPU Tensor Cores from Java using Babylon [Juan Fumero]

Unfinished Business: 1974 Oldsmobile Cutlass Supreme

Exploiting GPU Tensor Cores from Java using Babylon

NVIDIA chip powers local AI workloads

APEX4: Efficient Pure W4A4 LLM Inference via Intra-SM Compute Rebalancing

NVIDIA's RTX 5060 May Finally Get The VRAM Upgrade Gamers Wanted

Train Models Faster with JAX and MaxText Using NVFP4 on NVIDIA Blackwell

NVIDIA Accelerates Google DeepMind’s DiffusionGemma for Local AI

Surface Laptop Ultra vs MacBook Pro M5 Max: Does NVIDIA's RTX Spark Actually Change the Game?

1-bit and 1.58 bit LLM Benchmarking on Jetson Orin Nano Super | Bonsai LM

NVIDIA’s New RTX Spark Superchip Changes Everything for On-the-Go 12K Video Editing and 3D Rendering

KaiFelixBennett/gemma4-turboquant-rdna4: Run Gemma-4-31B at full 256K context on a $1,400 AMD RDNA4 GPU (gfx1201): TurboQuant KV cache + HIP-graph-safe Flash-Attention for llama.cpp, fully measured on real hardware.

From GPU to Token: The 8-Layer Observability Stack for AI Infrastructure

Build a local voice agent with Red Hat OpenShift AI

Unreleased RTX 3050 Ti engineering sample appears in photos and benchmarks — the RTX 3060 alternative that never happened

Vortex 3.0 Released As Full-Stack, Open-Source RISC-V GPU Now With 3D Pipeline

RightNow-AI/AutoMegaKernel: An agent harness that compiles a model into one provably-correct, self-retargeting CUDA megakernel and self-tunes it past cuBLAS at batch-1 LLM decode.

Vortex expands open RISC-V graphics

Nvidia's RTX Spark is a developer's dream, but AMD's Ryzen AI Max+ is what most people actually need for local AI