ROCm
AssessPlatforms
AMD's GPU computing software stack for accelerated workloads.
Why it's here
Placed in Assess: 3 article(s) of evidence from 1 source(s), led by research-stage coverage, with 1 in the last 30 days. Confidence 37%.
Evidence (3)
- 7Hacker News·8/2/2026researchRunning Kimi K3 on AMD MI355X with Better Performance per Dollar Than B300
The post reports benchmark results for serving the Kimi K3 model on AMD MI355X GPUs, claiming better performance per dollar than Nvidia B300 in this setup. It also describes a ROCm-side bug in speculative decoding infrastructure and notes that a small PyTorch fix was needed to stabilize the scheduler.
- 6Hacker News·7/3/2026researchWafer reports faster GLM5.2 inference on AMD MI355X
Wafer says it ran GLM5.2 on AMD MI355X with 2626 tokens per second per node at 2.4 RPS, while claiming the setup cost is more than 2x lower than Blackwell-based alternatives. The post also describes using MXFP4 quantization with AMD Quark and serving the model with sglang on ROCm after fixing speculative decoding support.
- 7Hacker News·6/30/2026open_sourceZLUDA 6 adds PhysX, Blender texture support, and better Windows compatibility
ZLUDA has released version 6, a new major update for its project that enables unmodified CUDA applications to run on non-NVIDIA GPUs. The update adds pre-alpha 32-bit PhysX support, basic texture support that also enables Blender, and improved Windows handling for performance libraries and loaders.