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今天新增deepseek-v4.1IMAGE

Lithos 引擎在 8 张 MI355X 上跑 DeepSeek V4.1 Flash:单用户 2100+ tok/s

Lithos 官方基准称,8 张 AMD MI355X 上 DeepSeek V4.1 Flash 单用户超 2100 tok/s、推理快 3.4 倍,并给出 1M 上下文下的延迟与每 token 成本分析。

LithosAI
@lithos_ai10 小时前收录原推发布于 2026.10.27
Lithos 引擎在 8 张 MI355X 上跑 DeepSeek V4.1 Flash:单用户 2100+ tok/s
LithosAI @lithos_ai原推发布于 2026.10.27
在 X 上打开原推

2,100+ tokens per second per user on DeepSeek V4.1 Flash, at full model quality, on eight AMD Instinct MI355X GPUs. In our benchmarks, the Lithos engine delivers: → Up to 3.4× faster inference for DeepSeek V4.1 Flash → Up to 2.5× faster inference for Kimi K3 Compared with tested open-source engines on the same eight GPUs. The key challenge is reducing the coordination tax: time spent waiting between kernels and across GPUs. Our approach combines persistent megakernels, overlapping execution, and communication inside computation. Our technical deep dive covers: - Decode speed, cost per token, and latency up to 1M context. - How Lithos engine reduces launch overhead and overlap computation with communication across GPUs. - How MI355X’s register capacity and direct instruction-level control enable hardware-specific optimizations. - What our roofline analysis reveals about opportunities for further speedups. Read the full analysis: https://www.lithosai.com/blog/ultra-fast-inference-2100-tokens-per-second-amd-mi355x

x.com/lithos_ai/status/2115104545487433853采集于 2026.10.28 12:03