Forge Agent

Swarm Agents That Turn Slow PyTorch Into Fast GPU Kernels

About The Product

Forge Agent is an AI tool that automatically transforms PyTorch models into optimized CUDA and Triton kernels. It addresses slow PyTorch performance by utilizing 32 parallel AI agents, each exploring optimization strategies like tensor cores, memory coalescing, and kernel fusion. A judge ensures kernel correctness before benchmarking. Key highlights include 5x faster inference than torch.compile on Llama 3.1 8B and 4x on Qwen 2.5 7B, compatibility with any PyTorch model, a free trial for one kernel, and a full credit refund if it doesn't outperform torch.compile.

Target Users

PyTorch model developers seeking faster GPU inference with automatic kernel optimization

Pain Points

Slow PyTorch model inference speed needing optimization beyond torch.compile

Key Features

Forge Agent automatically converts PyTorch models into optimized CUDA and Triton kernels using 32 parallel AI agents with diverse optimization strategies.
A judge agent validates kernel correctness before benchmarking, ensuring reliability.
Achieves significant speedups: 5x faster inference than torch.compile on Llama 3.1 8B and 4x on Qwen 2.5 7B.
Works on any PyTorch model, with a free trial on one kernel and full credit refund if it doesn't beat torch.compile.