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wafer

GPU development stack with profiling, optimization, and AI agent tools integrated directly into your IDE.

Introduction

Wafer is a comprehensive GPU development platform designed to help kernel engineers profile, optimize, and ship GPU kernels faster while staying within their preferred code editors. It integrates directly with Cursor and VS Code as an extension, providing a unified environment for GPU development workflows.

Key Features
  • NCU Integration: Run NVIDIA Compute Utility profiles directly from your editor with detailed insights into kernel performance, memory throughput, and compute utilization
  • GPU Documentation Search: Fast search capabilities over comprehensive GPU documentation, CUDA programming guides, and optimization best practices
  • Compiler Explorer: Compile CUDA and CuteDSL code directly into PTX and SASS with source mapping for detailed analysis
  • GPU Workspaces: Develop on GPUs while spending approximately 95% less with persistent CPU environments and on-demand GPU spin-up
  • AI Agent: Intelligent assistant that reads profiling data and suggests optimization strategies, with tool calling capabilities for NCU, documentation search, and code execution
  • Hyperparameter Tuning: Automated sweeping of common kernel hyperparameters like tile sizes, thread counts, and unroll factors
Target Users

Wafer is built specifically for kernel engineers, GPU developers, and AI researchers who need to optimize GPU performance for machine learning, scientific computing, and high-performance computing applications. The platform is particularly valuable for teams working on CUDA kernels, tensor operations, and GPU-accelerated algorithms.

Unique Selling Points
  • Editor-First Approach: All tools are accessible directly within Cursor and VS Code, eliminating context switching between development and profiling environments
  • Cost-Efficient GPU Usage: The workspace architecture maintains persistent CPU environments while spinning up GPUs only when code execution is needed
  • AI-Powered Optimization: The integrated AI agent can analyze profiling data and suggest concrete optimization strategies, accelerating the development cycle
  • Complete Toolchain: From profiling to compilation to documentation, Wafer provides a unified platform for the entire GPU development workflow

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