Multi-Hardware Platform Adaptation Program
Nunchaku's compiler-level optimizations ensure support for the full range of NVIDIA GPU architectures from Turing to Blackwell. Three adaptation options are available for different computing devices:
- Desktop GPUs automatically enable Tensor Core acceleration
- Notebook GPUs Adopt Memory Optimization Strategies
- Specialized compute cards (e.g. A100) support FP16 mixed precision
Through PTX instruction-level optimization and architectural characterization, the technical team has enabled the same codebase to maintain stable performance output on different generations of hardware, from RTX 2080 to RTX 4090, etc. The Windows platform is provided with a special pre-compiled wheel package to solve the compatibility issue of CUDA versions. Measurement data shows that the power per watt on Ampere architecture devices is up to 3.2 times that of traditional solutions.
This answer comes from the articleNunchaku: an inference tool for efficiently running FLUX.1 and SANA 4-bit quantization modelsThe
