Posts by Chun Fang

Accelerating Large-Scale LLM Inference on AMD Instinct MI350X/MI355X with Eagle3 and AMD Quark

Large language model (LLM) inference is increasingly constrained by autoregressive decoding. Even when prefill is highly optimized, the decode phase still generates tokens one step at a time, and each step typically requires running the full target model. For large mixture-of-experts and attention-heavy models such as Kimi-K2.5 and MiniMax-M2.5, this sequential pattern limits serving throughput and increases latency for real-time applications.

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Scaling AI Inference Performance with vLLM on AMD Instinct MI355X GPUs

Today, we are excited to share Large Language Model (LLM) Inference Performance with vLLM on AMD Instinctâ„¢ MI355X GPUs. Whether you are a startup, an enterprise or a hyperscaler, the AMD open software ecosystem with Instinct MI355X GPUs delivers consistent, high-performance inference at scale outperforming Nvidia Blackwell B200 GPUs as concurrency grows. For real-world users, this performance impact is directly proportional to user experience and cost efficiency in production environments.

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