Qwen3.8首日可用，助力存量算力长期有用：智源FlagOS开源开放生态共享
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Merged summary
TL;DR - FlagOS released Day-0 support for Alibaba’s 2.4T-parameter Qwen3.8 model across nine AI-chip platforms. Its unified open-source stack and INT8 quantization help deploy the model on diverse, including older, hardware.
- Supports BF16, FP8, and INT8 variants with cross-chip accuracy alignment and deployment validation.
- FlagOS-Compressor provides BF16/FP8-to-INT8 quantization paths and adapted inference operators.
- W8A8 quantization reduces memory and bandwidth demands, addressing hardware that lacks FP8 support.
- FlagOS says its Day-0 process cuts multi-chip model enablement to under 24 hours.
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Qwen3.8首日可用，助力存量算力长期有用：智源FlagOS开源开放生态共享
Public signals
N/A
TL;DR - FlagOS released Day-0 support for Alibaba’s 2.4T-parameter Qwen3.8 model across nine AI-chip platforms. Its unified open-source stack and INT8 quantization help deploy the model on diverse, including older, hardware.
- Supports BF16, FP8, and INT8 variants with cross-chip accuracy alignment and deployment validation.
- FlagOS-Compressor provides BF16/FP8-to-INT8 quantization paths and adapted inference operators.
- W8A8 quantization reduces memory and bandwidth demands, addressing hardware that lacks FP8 support.
- FlagOS says its Day-0 process cuts multi-chip model enablement to under 24 hours.