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Hygon
Trends
- 1GPUWorks Open-Sources 40MB Multi-Chip Inference Platform▼GPUWorks Open-Sources 40MB Inference Platform Running Ascend, PPU, Hygon and NVIDIA in One Cluster
GPUWorks has open-sourced an inference platform of roughly 40MB in size that can run chips from Huawei (Ascend), Moore Threads-class PPUs, Hygon and NVIDIA within a single cluster. The lightweight tool lets developers mix domestic Chinese and foreign GPUs in one deployment, a notable step for heterogeneous computing amid ongoing export restrictions. Details on performance benchmarks and licensing remain limited.
- 2GPUWorks open-sources lightweight multi-vendor GPU inference platform●GPUWorks has open-sourced a 40MB inference platform that pools Nvidia, Huawei Ascend, T-Head PPU and Hygon DCU accelerat
GPUWorks has released an open-source inference platform weighing just 40MB that pools Nvidia, Huawei Ascend, T-Head PPU and Hygon DCU accelerators into a single managed cluster behind an OpenAI-compatible API. The team claims one server orchestrated 1,003 GPU servers and 500 replicas in four minutes. Interest centres on hardware-agnostic AI serving at a time of export controls and diverse chip supply.
Repos
- flitai-io/gpuworks A ~45 MB MaaS platform: one cluster across public and private clouds, on any mix of accelerators.