Forge

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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.

Características Principales

• Optimize existing PyTorch kernels into Triton/CUDA
• Utilizes 32 parallel AI swarm agents for optimization
• Smart detection for identifying GPU optimization opportunities
• Generate new optimized GPU kernels from natural language
• Benchmarks kernels on real datacenter GPUs for accuracy
• 1 GitHub stars

Casos de Uso

• Improving performance of complex PyTorch operations like attention or custom autograd functions
• Accelerating PyTorch model inference for production deployment
• Generating custom, highly optimized CUDA/Triton kernels from scratch