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We can run 32 bit apps on 64 but not the other way around. Note that Trainium is only 32 bit.\n\n### 64 bit apps\n\n- amg2023\n- kripke\n- laghos\n- lammps-reax\n- mixbench\n- osu\n- pytorch\n\n### 32 bit apps\n\n- pytorch\n- [inference-perf](https://github.com/kubernetes-sigs/inference-perf/blob/main/docs/design.md#metrics-to-collect) looks good, but isn't ready yet\n- [fmperf](https://github.com/fmperf-project/fmperf)\n- [fmwork](https://github.com/IBM/fmwork)\n- [ai-benchmark](https://github.com/cloudmercato/ai-benchmark)\n- [hugging-face](https://huggingface.co/docs/transformers/v4.39.1/benchmarks) from Angel, note deprecated\n- [DeepGEMM](https://github.com/deepseek-ai/DeepGEMM)\n- [gpu-fryer](https://github.com/huggingface/gpu-fryer) Already has a container [ghcr.io/huggingface/gpu-fryer:latest](ghcr.io/huggingface/gpu-fryer:latest). We might want to rebuild if a common base is desired.\n- [gpu-burn](https://github.com/wilicc/gpu-burn)\n- [DualPipe](https://github.com/deepseek-ai/DualPipe)\n- [nccl-tests](https://github.com/NVIDIA/nccl-tests)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fconverged-computing%2Faws-performance-study","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fconverged-computing%2Faws-performance-study","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fconverged-computing%2Faws-performance-study/lists"}