Tensor Cores

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

 🖥️GPU Computing
openjdk.org··r/java

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

 Hardware Acceleration  Content type: Code
github.com··Hacker News

Exploiting GPU Tensor Cores from Java using Babylon

 🖥️GPU Computing
inside.java·

Gram Newton-Schulz: A Fast, Hardware-Aware Newton-Schulz Algorithm for Muon

 🖥️Operating Systems  Content type: Blog
tridao.me··Hacker News

Density Field State Space Models: 1-Bit Distillation, Efficient Inference, and Knowledge Organization in Mamba-2

 Hardware Acceleration  Content type: Academic
arxiv.org·
Less-relevant results

NVIDIA chip powers local AI workloads

 🖥️GPU Computing
edn.com·

Hyperlinks (OSC 8) – Terminal Support

 🔗ELF Internals  Content type: Tutorial
terminfo.dev··Hacker News

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

 Hardware Acceleration
phoronix.com·

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

 Hardware Acceleration  Content type: News
hothardware.com·

Gated DeltaNet, From First Principles

 🖥️GPU Computing  Content type: Blog

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

 🖥️GPU Computing
smolhub.com··r/LocalLLaMA

Graph Traversal on Tensor Cores: A BFS Framework for Modern GPUs

 🖥️GPU Computing  Content type: Academic
arxiv.org·

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

 🖥️GPU Computing  Content type: Blog
jimmysong.io·

NVIDIA Accelerates Google DeepMind’s DiffusionGemma for Local AI

 🖥️GPU Computing  Content type: Blog
blogs.nvidia.com·

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

 🖥️GPU Computing
memeburn.com·

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

 🖥️GPU Computing
canonrumors.com·

GPU Servers for Best Performance

 🤖AI
leaseweb.com··DEV

Build a local voice agent with Red Hat OpenShift AI

 🖥️GPU Computing
developers.redhat.com·

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

 Hardware Acceleration  Content type: Academic
arxiv.org·

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

 🖥️GPU Computing  Content type: News
tomshardware.com
·

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