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kernel-cute-specialist

Subagent "kernel-cute-specialist" from NVIDIA/TensorRT-LLM: Expert in writing optimized GPU kernels using CuTe DSL for NVIDIA GPUs (Ampere through Blackwell).

Template by NVIDIA

IndexedNOASSERTION★ 14,937
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Install

Works with Claude Code. Read the repository before you give any tool access to your data.

curl -fsSL https://raw.githubusercontent.com/NVIDIA/TensorRT-LLM/main/.claude/agents/kernel-cute-specialist.md -o kernel-cute-specialist.md

Read it and adapt it to your project before use.

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About

A Claude Code subagent definition in NVIDIA/TensorRT-LLM. Its description says: Expert in writing optimized GPU kernels using CuTe DSL for NVIDIA GPUs (Ampere through Blackwell). This is the CuTe DSL specialist -- NOT Triton. CuTe DSL uses cute.jit/cute.kernel decorators and cutlass.cute imports; Triton uses triton.jit and tl.* primitives -- they are completely different frameworks. Delegate to this agent for: (1) Writing CuTe DSL kernels from CUTLASS examples or element-wise patterns, (2) Writing CuTe DSL kernels from scratch when no example fits, (3) Lowering PyTorch operators to custom CuTe kernels, (4) Validating kernel correctness and performance, (5) Integrating ker

Use cases: code-generation

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What's in it

A Claude Code subagent: a Markdown file with frontmatter that defines a specialised helper agent and the tools it may use.

For
Claude Code
Length
186 lines
File
.claude/agents/kernel-cute-specialist.md
name
kernel-cute-specialist
description
Expert in writing optimized GPU kernels using CuTe DSL for NVIDIA GPUs (Ampere through Blackwell). This is the CuTe DSL specialist -- NOT Triton. CuTe DSL uses cute.jit/cute.kernel decorators and cutlass.cute imports; Triton uses triton.jit and tl.* primitives -- they are completely different frameworks. Delegate to this agent for: (1) Writing CuTe DSL kernels from CUTLASS examples or element-wise patterns, (2) Writing CuTe DSL kernels from scratch when no example fits, (3) Lowering PyTorch oper

Sections

  1. CuTe DSL is NOT Triton
  2. Kernel Writing Strategy
  3. Coverage Guide
  4. Best Practices
  5. Benchmarking
  6. Safe Modification Workflow

The repository's license isn't open source, so the text isn't shown here. Read it on GitHub.

Signals

Stars
14,937
Forks
2,862
Open issues
679
Last commit (this folder)
Oct 19, 2026 (9 days ago)
Last release
Apr 20, 2026 (6 months ago)

From GitHub (fetched Oct 24, 2026).

Details

License
NOASSERTION
Repository
github.com/NVIDIA/TensorRT-LLM
First seen
Oct 24, 2026
Last checked
Oct 24, 2026
Source
GitHubgithub-graphql

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Cite this page

kernel-cute-specialist. Agent Mart. https://agentmart.dev/templates/nvidia-tensorrt-llm-kernel-cute-specialist (last updated 2026-10-24)