Posts by Jun Chen

FlyDSL Mono Kernels for High-Interactivity LLM Serving in ATOM

LLM applications with strict latency requirements need high interactivity. A coding agent needs to generate its next action quickly so it can call a tool and continue the task. By reducing decode latency, you can keep this loop moving.

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Practical, Fault‑Robust Distributed Inference for DeepSeek on AMD MI300X

As large scale LLM inference moves beyond a single server, engineering teams face a familiar trifecta of challenges: performance, fault isolation, and operational efficiency. DeepSeek‑V3/R1’s high‑sparsity Mixture‑of‑Experts (MoE) architecture can deliver excellent throughput, but only when computation, memory, and communication are orchestrated with care—especially across multiple nodes [1].

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