Foundation model benchmarking tool. Run any model on any AWS platform and benchmark for performance across instance type and serving stack options.
-
Updated
Apr 11, 2025 - Jupyter Notebook
Foundation model benchmarking tool. Run any model on any AWS platform and benchmark for performance across instance type and serving stack options.
Community maintained hardware plugin for vLLM on AWS Neuron
A hybrid testbed for evaluating top open-source LLMs (like gpt-oss-20b and Llama 3.3) on local, cloud GPUs, and AWS Inferentia2/Trainium instances, focusing on vLLM optimization, capacity management, kernel bypass, hardware-software co-design, as well as supporting infrastructure such as NCCL, RDMA, NVMeoF.
AWS TorchNeuron Deep Learning Projects using Trainium1 Instances
Open-source calculator for AI accelerator compatibility across TPUs, Trainium/Inferentia, Gaudi, and NVIDIA GPUs
Production LLM pipeline on AWS Trainium and Inferentia: LoRA fine-tune Llama 3.1 8B on a trn1.2xlarge, ship the adapter through S3, serve it with vLLM on an inf2.xlarge, and measure everything (TTFT/TPOT percentiles, tokens/s, MFU, goodput at SLO) with compile costs included and failures recorded as receipts.
Add a description, image, and links to the trainium topic page so that developers can more easily learn about it.
To associate your repository with the trainium topic, visit your repo's landing page and select "manage topics."