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#amd-mi300x

@alvarobartt: GLM 5.2, open frontier-scale intelligence on Microsoft Foundry with AMD MI300X. Running a Codex goal with an open model…

X AI KOLs Following ↗ · 2026-07-01 Cached

GLM 5.2, an open frontier-scale AI model, is now available on Microsoft Foundry with AMD MI300X hardware, enabling efficient Codex goal execution.

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#amd-mi300x

Bringing Up DeepSeek-V4-Flash on AMD MI300X

Hacker News Top ↗ · 2026-06-02 Cached

This blog post details the author's efforts to get DeepSeek-V4-Flash running on AMD MI300X GPUs, highlighting software compatibility issues with the FP8 dialect and providing a worklog of the process.

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#amd-mi300x

@rohanpaul_ai: I had to test it myself to believe this unreal inference speed. 3,000 tokens/s for 1 user on standard datacenter GPUs. …

X AI KOLs Following ↗ · 2026-05-29 Cached

Kog AI achieves 3,000 tokens/s inference speed on 8× AMD MI300X GPUs and 2,100 on 8× NVIDIA H200, leveraging a hidden efficiency gap in GPU token generation.

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#amd-mi300x

Building a monokernel for LLM inference on AMD MI300X - up to 3,300 output tokens/s per request [P]

Reddit r/MachineLearning ↗ · 2026-05-29

A monokernel approach for LLM decoding on AMD MI300X GPUs achieves up to 3,300 output tokens/s per request without speculative decoding or quantization, using memory access patterns mapped to the die topology.

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#amd-mi300x

@no_stp_on_snek: mrcr v2 8-needle at 1m, open weights stack, single rented mi300x. longctx directional 0.688 (n=30, mass-val rerun pendi…

X AI KOLs Following ↗ · 2026-05-08 Cached

Shares early benchmark scores and evaluation metrics for an open-weight model stack run on a single AMD MI300X, noting competitive performance against closed-source alternatives.

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