PT study says AMD Instinct MI355X scales better for AI inference

Principled Technologies published a new report July 8 analyzing public MLPerf Inference results for AMD Instinct GPUs. The study says the MI355X delivered about 3.1 times the throughput of the MI325X on Llama 2 70B and scaled efficiently across an 11-node deployment.

Why it matters: - AI buyers use benchmark data to compare GPU performance, scaling and consistency across vendors. - The report argues that published MLPerf results can help customers judge whether AMD Instinct GPUs will deliver stronger inference throughput and predictable deployment behavior. - The findings matter most for large AI inference workloads, where throughput and multi-node efficiency affect cost and capacity.

What happened: - Principled Technologies published a research report on July 8 analyzing publicly available MLPerf Inference benchmark results for AMD Instinct GPUs. - The report is titled AMD Instinct GPU MLPerf Inference results: Performance, scale, and reproducibility for AI deployments. - The study focuses on MLPerf Datacenter Inference submissions, especially Llama 2 70B workloads. - PT compared AMD-submitted and partner-submitted benchmark results across multiple OEM platforms. - PT also highlighted the full report and infographic for readers who want more detail.

The details: - AMD-submitted MLPerf results showed the AMD Instinct MI355X at 100,282.36 tokens per second on the Llama2-70B-99.9 Server benchmark. - The AMD Instinct MI325X reached 32,027.57 tokens per second on the same benchmark. - That puts MI355X at about 3.1 times the throughput of MI325X. - Partner-submitted results showed similar gains, which PT says supports reproducibility across vendors. - An 11-node cluster with 87 AMD Instinct MI355X GPUs delivered more than 1 million tokens per second. - Each node held about 92% of the throughput seen in the single-node benchmark. - PT said that efficiency points to near-linear scaling for large AI inference deployments. - Nine organizations submitted MLPerf v6.0 inference results using AMD Instinct GPUs. - Those organizations included Cisco, Dell, HPE, Oracle, Supermicro and Red Hat. - PT said that mix shows support across a broad ecosystem of hardware and software providers.

Between the lines: - The report frames benchmark transparency as a practical tool for infrastructure planning, not just a technical scorecard. - Similar results from AMD and other OEM submissions suggest that performance may hold up across different partner implementations. - The ecosystem participation also signals that AMD Instinct deployments are not limited to one hardware path or one software stack.

What's next: - PT expects buyers and infrastructure teams to use MLPerf data as one input when evaluating AI inference platforms. - The report points to continued interest in gen-over-gen GPU comparisons, scaling behavior and vendor-to-vendor consistency as new systems enter the market. - AMD and its partners are likely to keep using MLPerf submissions to demonstrate performance gains across future GPU generations.

The bottom line: - PT’s report says AMD Instinct MI355X combines stronger single-node inference throughput with efficient multi-node scaling, and that the results appear consistent across OEM submissions.