Tag
tinygrad announces it has achieved a spot on the MLPerf benchmark board using AMD MI350X hardware to train Llama 8B, with its own driver, runtime, kernels, and training loop, and plans to improve the time and tackle 405B next.
This article explores the feasibility of using an external NVIDIA RTX 5090 GPU with an Apple Silicon Mac via Thunderbolt for CUDA inference and gaming, covering methods like tinygrad eGPU drivers and PCI passthrough to a Linux VM.
A user proposes building a heterogeneous AI cluster using Blackwell GPUs and high-memory servers connected via RDMA, seeking collaboration on Tinygrad driver development.