SemiAnalysis 发布 AgentX 1.0:百万上下文多轮智能体编码推理基准
SemiAnalysis 发布 AgentX 1.0,称其为全球首个完全开源、100 万上下文的多轮智能体编码推理基准,以 Apache 2.0 许可发布,数据集构建投入超过 300 万美元。该基准被纳入 InferenceXv3,用智能体编码流量替代此前 8k 输入 1k 输出的单轮场景,测试矩阵运行在约 2MW 算力、1000 多颗芯片上,覆盖 MI355X、GB300 NVL72、GB200 NVL72、B300、B200、MI325、MI300X、H200 与 RTX Pro 服务器。SemiAnalysis 称其首个成果是已推动 vLLM、SGLang、TensorRT-LLM、ATOM、AITER、Dynamo、LMCache 和 Mooncake 等项目的 70 多个上游 PR,并计划在三到四周后发布 AgentX 更新文章。
tness bugs that break requests just as badly as a million-token session. MiniMax-M3 tested whether that ROCm work compounds into day-zero readiness, and the Advancing AI writeup draws the comparison directly: AMD’s first public disaggregated recipe, MI355X FP4, reached InferenceX in January months behind Nvidia, while M3 FP4 disaggregation landed on day zero. This is an improvement from the DeepSeek-R1 period, when parity took months. Three vLLM fixes sat on that day-zero path, and each was a co
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