Forge
Transforms slow PyTorch models into highly optimized CUDA/Triton kernels using automated multi-agent optimization.
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Transforms slow PyTorch models into highly optimized CUDA/Triton kernels using automated multi-agent optimization.
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Forge is an MCP server that provides access to a powerful AI-driven optimization engine. It transforms PyTorch models into production-grade CUDA/Triton kernels, achieving significant inference speedups (up to 14x faster) while maintaining numerical correctness. By connecting any MCP-compatible AI coding agent, developers can submit PyTorch code for optimization or generate new kernels from natural language descriptions, leveraging 32 parallel AI agents and real datacenter GPU benchmarking.