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AMD MI355x hardware outperforms B300 on token efficiency for AgentX · 2 sources tracked

By PulseAugur Editorial · [2 sources] ·

A new submission for AMD's MI355x hardware has demonstrated superior performance in terms of total tokens per Total Cost of Ownership (TCO) compared to the B300, particularly at lower interactivity ranges within the AgentX framework. This achievement was highlighted by SemiAnalysis, with specific recognition given to the engineering teams behind vLLM, AMD, and LMCache for their contributions. The disaggregated setups used in high throughput configurations were noted as a key factor in this performance gain. AI

IMPACT This advancement in hardware efficiency could lead to more cost-effective AI model deployments and training.

RANK_REASON The cluster reports on a new hardware submission's benchmark performance against a competitor, which constitutes a research milestone.

Read on X — SemiAnalysis →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

AMD MI355x hardware outperforms B300 on token efficiency for AgentX · 2 sources tracked

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COVERAGE [2]

  1. X — SemiAnalysis TIER_1 English(EN) · SemiAnalysis_ ·

    On total tokens per $ TCO, a new AMD MI355x submission beats B300 at lower interactivity ranges on AgentX. Shoutout to vLLM, AMD, and LMCache engineers. https:/

    On total tokens per $ TCO, a new AMD MI355x submission beats B300 at lower interactivity ranges on AgentX. Shoutout to vLLM, AMD, and LMCache engineers. https://t.co/1oYYeYYu9S

  2. X — SemiAnalysis TIER_1 English(EN) · SemiAnalysis_ ·

    On total tokens per $ TCO, a new AMD MI355x submission beats B300 at lower interactivity ranges on AgentX. Both high throughput configs use disaggregated setups

    On total tokens per $ TCO, a new AMD MI355x submission beats B300 at lower interactivity ranges on AgentX. Both high throughput configs use disaggregated setups. Shoutout to vLLM, AMD, and LMCache engineers. https://t.co/Sc35IXkXY8

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