Forge Agent is an AI-powered code editor and optimization tool specifically designed for NVIDIA GPU kernel development. It integrates real-time profiling, automated benchmarking, and hardware-aware AI suggestions to streamline CUDA, Triton, and PyTorch code creation and optimization for maximum performance.
Freemium
How to use Forge Agent?
Forge Agent integrates into your development workflow as a specialized IDE. Write your CUDA, Triton, or PyTorch code, and the tool provides inline performance metrics and AI suggestions. Use the profiling terminal to identify bottlenecks, benchmark across different GPU configurations automatically, and leverage the AI to generate optimized kernel code or refactor existing implementations for specific GPU architectures like A100 or H100.
Forge Agent 's Core Features
AI-powered code editor with real-time, inline performance profiling and metrics display as you type your GPU kernel code.
Hardware-aware AI that understands your specific GPU architecture (e.g., A100, H100) and provides optimization suggestions tailored to its cores and memory hierarchy.
Automated benchmarking and configuration sweeping to test block sizes, thread counts, and memory layouts across multiple GPU setups to find the fastest implementation.
GPU Emulator allowing developers to test and profile kernels on over 50 different GPU architectures (like H100s, A100s) without physically owning the hardware, with under 2% error rate.
Natural Language Profiling interface where you describe what you want to profile in plain English, and the tool generates the correct, complex Nsight Compute commands instantly.
Local LLM Support for privacy, enabling code analysis and suggestions using locally run models via Ollama or vLLM, ensuring your proprietary code never leaves your machine.
Smart Profiling Terminal that not only shows real-time GPU metrics but diagnoses performance issues and suggests concrete fixes to improve kernel efficiency.
Forge Agent 's Use Cases
GPU Kernel Developers can rapidly prototype and optimize CUDA/C++ code with instant feedback on performance regressions and AI-assisted refactoring.
ML Engineers training large models can use the multi-GPU comparison and emulator to ensure their PyTorch data pipelines and custom layers are optimized for their target deployment hardware.
Researchers in high-performance computing can sweep through hundreds of kernel configurations automatically to find the optimal setup for novel algorithms on new GPU architectures.
Hardware-aware AI Developers can leverage the tool's understanding of specific GPU specs (Tensor Cores, memory bandwidth) to manually or automatically tune kernels for maximum throughput.
DevOps Engineers managing GPU clusters can use the enterprise features for datacenter-wide optimization, ensuring consistent performance across large-scale deployments.
Forge Agent 's Pricing
FREE
$0/mo
For solo developers. Includes single GPU development, unlimited profiling & benchmarking, CodeLens metrics, GPU virtualization, Local LLM support, and 1 Forge credit/month.
PRO
$29/mo
For professional teams. Includes everything in Free, plus GPU emulator access (50+ GPUs), multi-GPU comparison (6 max), natural language profiling, 1000 AI Agents credits/month, unlimited autocomplete, GPU-optimized suggestions, and priority email support.
ENTERPRISE
Custom Pricing
For large organizations. Includes everything in Pro, plus 100+ GPU clusters, datacenter optimization, on-premise deployment, custom silicon support, unlimited Forge credits, custom model fine-tuning, dedicated support team, 24/7 SLA, and 99.95% uptime guarantee.
FORGE CLI (Pay-as-you-go)
From $112.50 for 10 credits
Agent credits for AI-powered kernel optimization. Credit refund if performance doesn't beat torch.compile. Includes datacenter GPU access, high-speed inference scaling, 32 parallel swarm agents, and advanced kernel database retrieval.