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Sources: AI startups are struggling to access Nvidia GPUs as Microsoft and other cloud providers divert supply to internal teams and large customers like OpenAI...  🤖AI
techmeme.com·6d
Powering AI Factories with NVIDIA Enterprise Reference Architectures  🏗️LLM Infrastructure
developer.nvidia.com·1d
Efficient, VRAM-Constrained xLM Inference on Clients  🏗️LLM Infrastructure
arxiv.org·23h
nvidia/Nemotron-3-Nano-Omni-30B-A3B-Reasoning-BF16  🏗️LLM Infrastructure
huggingface.co·1d·r/LocalLLaMA
Inside Google's TPU V8 strategy, delivering two chips for two crucial tasks — scale up size gives chips an advantage over Nvidia AI accelerators  ⚡Hardware Acceleration
tomshardware.com
·3d
Show HN: Utilyze, an open source GPU monitoring tool more accurate than nvtop  📊Model Serving Economics
systalyze.com·3d·Hacker News
PMZFX/intel-arc-pro-b70-benchmarks: Benchmark results and performance data for the Intel Arc Pro B70 GPU (Xe2/Battlemage) - LLM inference, video generation, dual-GPU scaling.  🤖AI
github.com·6d·Hacker News
Can Google Win the AI Hardware Race Through TPUs?  📊Model Serving Economics
google-ai-race.pagey.site·5d·Hacker News
A Matrix-Free Galerkin Multigrid Solver and Failure-Mode Screen for Single-GPU 3D SIMP Linear Systems  📊Model Serving Economics
arxiv.org·23h
Together AI Brings NVIDIA Nemotron 3 Nano Omni to Developers on Day 0  🆕New AI
together.ai·3d
Pragmata: Benchmarks with NVIDIA DLSS 4 and NVIDIA DLSS 4.5  ⚡Hardware Acceleration
en.gamegpu.com·5d
BIG AI Cluster Little Power the 8x NVIDIA GB10 Cluster  🏗️LLM Infrastructure
servethehome.com·3d·Hacker News, Hacker News
Evaluating CUDA Tile for AI Workloads on Hopper and Blackwell GPUs  ⚡Hardware Acceleration
arxiv.org·2d·Hacker News
Sources: strong AI demand in China nearly doubles prices for Nvidia's B300 servers to ~$1M each, as a crackdown on chip smuggling dries up black market supply (...  🇨🇳Chinese AI
techmeme.com·16h
DAK: Direct-Access-Enabled GPU Memory Offloading with Optimal Efficiency for LLM Inference  🏗️LLM Infrastructure
arxiv.org·23h
CUDA Kernel Optimization and Counter-Free Performance Analysis for Depthwise Convolution in Cloud Environments  🏗️LLM Infrastructure
arxiv.org·1d
AMMA: A Multi-Chiplet Memory-Centric Architecture for Low-Latency 1M Context Attention Serving  ⚡Hardware Acceleration
arxiv.org·23h
GICC: A High-Performance Runtime for GPU-Initiated Communication and Coordination in Modern HPC Systems  ⚡Glommio
arxiv.org·3d
A comprehensive evaluation of spatial co-execution on GPUs using MPS and MIG technologies  ⚡Hardware Acceleration
arxiv.org·3d
FlashSpread: IO-Aware GPU Simulation of Non-Markovian Epidemic Dynamics via Kernel Fusion  🌐Distributed systems
arxiv.org·3d

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