Your GPU Development Stack
Profile, optimize, and ship GPU kernels faster, all while staying in your own editor
Profile your code directly in your IDE, easily pass as context to your coding agent.
This kernel grid is too small to fill available resources, resulting in only 0.0 full waves across all SMs.
High-level overview of throughput for compute and memory resources. Throughput is reported as percentage of theoretical maximum.
Timeline view of performance monitor metrics sampled periodically over the workload duration.
Fast search over the most complete GPU documentation - in your own editor.
Compile CUDA & CuteDSL code directly into PTX & SASS. Mapped to source, all available as agent context.
Develop kernels on GPUs while spending ~95% less. Persistent CPU environment; Spin up GPU when you run code.
10x your GPU engineering productivity
Available as a Cursor and VSCode extension. All your GPU development tools in one place.
Everything you need for GPU development. Built for kernel engineers who want to ship faster.
Run NVIDIA Compute Utility profiles directly from your editor. Get insights without context switching.
Search CUDA programming guides, API references, and optimization best practices instantly.
Develop on GPUs while spending ~95% less. Persistent CPU environment; Spin up GPU when needed.
See the generated PTX and SASS from your CUDA code. Like Godbolt, but for GPU kernels.
An agent that reads your profiling data and suggests the next optimization to implement.
The agent can call NCU, search docs, and run code—same actions you can do, but automated.
Review agent-suggested changes before applying. Accept, reject, or modify the proposed optimizations.
Ask the agent to automatically sweep common kernel hyperparameters like tile sizes, thread counts, and unroll factors.
Simple, transparent pricing
Start free, scale as you need. Credits work for both AI agent calls and GPU compute time.