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Building Meta's GenAI infrastructure(engineering.fb.com)
636 points by mootpt | 291 comments
Meta engineering blog post describing its large GPU training clusters for generative AI, including RDMA and InfiniBand networking, Grand Teton hardware, and storage.
Nvidia DGX GH200: 100 Terabyte GPU Memory System(developer.nvidia.com)
492 points by MacsHeadroom | 328 comments
NVIDIA Technical Blog post announcing the DGX GH200, a Grace Hopper-based system offering 100 terabytes of shared GPU memory for large AI workloads.
Nvidia releases new AI chip with 480GB CPU RAM, 96GB GPU RAM(nvidia.com)
324 points by logicchains | 256 comments
NVIDIA product page for the Grace Hopper Superchip, an accelerated CPU-GPU module for giant-scale AI and HPC applications.
Gemma 3 QAT Models: Bringing AI to Consumer GPUs(developers.googleblog.com)
571 points by emrah | 259 comments
Google Developers Blog post announcing Gemma 3 models trained with quantization-aware training so they can run on consumer GPUs.
Intel Foundry Services and Arm announce collaboration on SoC design(intel.com)
422 points by mepian | 175 comments
Intel newsroom press release announcing a multigeneration collaboration between Intel Foundry Services and Arm on leading-edge SoC design using Intel process technology.
GPUs Go Brrr(hazyresearch.stanford.edu)
1056 points by nmstoker | 243 comments
Stanford Hazy Research blog post on what GPU hardware wants for efficient AI kernels, introducing the ThunderKittens CUDA kernel library.












