Gpu Document Processing
This handles large PDF processing and document collections by offloading the heavy lifting to a GPU sandbox while keeping the agent reasoning on CPU. It's built for the 50+ page PDFs and bulk extraction jobs where you need text chunking, table extraction, or embedding generation at scale. The sandbox-as-tool pattern means your API keys stay out of the GPU environment and you only pay for acceleration during actual processing, not during the agent's planning and synthesis work. Works with NVIDIA NeMo Retriever for embeddings and can process document batches in parallel. If you're dealing with large document sets that would otherwise crawl through CPU-only extraction, this is the play.
- skills.sh installs
- 223
- GitHub stars
- 31.2K
- last updated
- Aug 21, 2026
Install
$ npx -y skills add langchain-ai/deepagents --skill gpu-document-processing --agent claude-codeInstalls into .claude/skills of the current project.
Files
GPU Document Processing Skill
Process large documents and document collections using GPU-accelerated tools. This skill uses the sandbox-as-tool pattern: the agent runs on CPU for reasoning, and sends document processing work to a GPU-equipped environment.
When to Use This Skill
Use this skill when:
- Processing large PDF files (50+ pages)
- Analyzing collections of documents (10+ files)
- Extracting structured data from unstructured documents
- Performing bulk text extraction and chunking
- Generating embeddings for large document sets
- The user uploads or references large documents for analysis
Architecture: Sandbox as Tool
This skill follows the sandbox-as-tool pattern for GPU execution:
- Agent reasons on CPU - planning, synthesis, report writing
- Processing sent to GPU sandbox - document parsing, embedding, extraction
- Results returned to agent - structured output for further analysis
This separation ensures:
- API keys stay outside the sandbox (security)
- Agent state persists independently of processing jobs
- Processing can be parallelized across documents
- Cost-efficient: GPU used only during processing, not during reasoning
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- Repository
- github.com/langchain-ai/deepagents
- Category
- AI & Agent Building
- First seen
- Jun 3, 2026
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