Hacker News with Generative AI: Nvidia GPUs

Nvidia GPU on bare metal NixOS Kubernetes cluster explained (fangpenlin.com)
Since the last time I published the second MAZE (Massive Argumented Zonal Environments) article, I realized that the framework is getting more mature, but I need a solution to run it on a large scale.
Progress on Intel and Nvidia GPUs on Raspberry Pi (jeffgeerling.com)
Nvidia GPUs have been running fine on Arm for a while now—I just upgraded the System76 Thelio Astra to an RTX 4080 Super and am testing it now.
Analyst firm say DeepSeek has 50000 Nvidia GPUs and spent US $6B on buildouts (tomshardware.com)
The Missing Nvidia GPU Glossary (modal.com)
We wrote this glossary to solve a problem we ran into working with GPUs here at Modal: the documentation is fragmented, making it difficult to connect concepts at different levels of the stack, like Streaming Multiprocessor Architecture, Compute Capability, and nvcc compiler flags.
Nvidia Tensor Core Programming (leimao.github.io)
NVIDIA Tensor Cores are dedicated accelerators for general matrix multiplication (GEMM) operations on NVIDIA GPUs since the Volta architecture.
LibreCUDA – Launch CUDA code on Nvidia GPUs without the proprietary runtime (github.com/mikex86)
Google Cloud now has a dedicated cluster of Nvidia GPUs for YC startups (techcrunch.com)