发生了什么: Day 0 Support for Qwen3.8-2.4T-A95B on vLLM

vLLM released Day-0 support for Qwen3.8-2.4T-A95B, a 2.4-trillion-parameter sparse MoE model with optimized kernels for NVIDIA and AMD hardware.

为何重要: Day 0 Support for Qwen3.8-2.4T-A95B on vLLM

Engineers deploying large language models need this when running inference on Qwen3.8 across NVIDIA B300 or AMD MI355X clusters with memory constraints.

注意: Day 0 Support for Qwen3.8-2.4T-A95B on vLLM

The model requires at least two GPU nodes for full precision or one node for FP4 quantized versions; reasoning workloads need high max_tokens allocation for accurate results.

新闻

Day 0 Support for Qwen3.8-2.4T-A95B on vLLM

vLLM · vLLM Team and Inferact · 发布于 2026年8月12日 · 阅读约3分钟

30秒读懂

发生了什么: vLLM released Day-0 support for Qwen3.8-2.4T-A95B, a 2.4-trillion-parameter sparse MoE model with optimized kernels for NVIDIA and AMD hardware.
为何重要: Engineers deploying large language models need this when running inference on Qwen3.8 across NVIDIA B300 or AMD MI355X clusters with memory constraints.
注意: The model requires at least two GPU nodes for full precision or one node for FP4 quantized versions; reasoning workloads need high max_tokens allocation for accurate results.

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