Your AI Agent Can Finally Handle GPU Orchestration
With GPUse, your AI agents handle GPU orchestration as easily as they write code. A complete Model Context Protocol toolkit now covers the entire lifecycle during beta testing.
No more SSH keys. No more CUDA debugging. No more copying error logs. Your agent handles everything while you focus on what matters, then shares the Stripe checkout link if you want to continue beyond the 5-minute grace period.
❌ Traditional (3 Days)
Day 1: "Just need to provision a GPU..."
Day 2: "Why won't SSH keys work?"
Day 3: "CUDA version mismatch... again"
You: Exhausted, frustrated, behind schedule
✅ GPUse (60 Seconds)
Agent: "Installing gpuse-mcp-server (beta)..."
Agent: "GPU provisioned via start_compute ✓"
Agent: "Results ready - checkout link shared"
You: Relaxing with coffee ☕
How to Get All These GPU Benefits
Simply copy and paste the instruction below to your coding agent, and they'll take it from there during beta testing.
Private Beta in Progress
🤖 Claude Code (CLI)
Install the GPUse MCP server (beta) so I can provision GPUs autonomously. Run: npx -y gpuse-mcp-server@latest configure --force Docs: https://gpuse.com/.well-known/gpuse-mcp-manifest.json
What Happens Next:
Agent installs gpuse-mcp-server (~60s)
Restart the coding platform (new session)
Agent runs /mcp to confirm GPUse tools
Tell your agent to use GPUse when helpful
Agent handles autonomously + shares checkout
Remember Your Last GPU Setup?
Day 1: "Just need to provision a GPU for my agent..."
Day 2: "Why won't SSH keys work?"
Day 3: "CUDA version mismatch... again"
Day 4: "Agent still waiting for GPU access"
Sound familiar?
Every time your AI agent needs GPU compute, you become tech support. Copying error logs. Debugging drivers. Managing SSH keys. Your agent sits idle while you wrestle with infrastructure.
Whether it's voice-to-text transcription, running inference models, or text-to-voice generation, you're stuck managing infrastructure instead of building.
There's a better way.
What If Your Agent Could Handle Everything?
Imagine this:
Your agent: "I need a GPU for model training"
Your agent: "Provisioning NVIDIA L4 with 24GB VRAM..."
Your agent: "Testing deployment..."
Your agent: "Training model..."
Your agent: "Complete! Results ready."
Your involvement: Zero.
With GPUse, your AI agents handle GPU orchestration as easily as they write code. No more stopping to ask for your help. No more being the bottleneck.
From Request to Results in Minutes
Agent Gets Your Request
You: "Transcribe this podcast" or "Deploy a Llama model"
Agent Completes the Task
Tests with 5 minutes FREE, debugs autonomously, delivers results
You Decide to Continue
Happy? 60-second checkout. Or let grace period expire if testing.
Complete MCP Toolkit
Agents access the full lifecycle via Model Context Protocol tools:
- Discovery: recommend_template, describe_template_endpoints, list_templates
- Provisioning: start_compute, start_custom, auth_helper
- Monitoring: get_instance_logs, get_instance_status, list_instances
- Billing: get_checkout_url, payment_status, add_account_funds
- Account: request_account_code, verify_account_code
- Lifecycle: stop_compute
HTTP Transport for Web Agents
Agents can also access GPUse via HTTP MCP transport at https://mcp.gpuse.com/mcp
Web-based agents and custom integrations: initialize session → call tools with Mcp-Session-Id header. Full workflow with curl examples in /.well-known/gpuse-mcp-manifest.json
50+ Use Cases on NVIDIA L4 GPU
Deploy instantly with 5-minute grace period or paid account
Content Generation & Writing
- •Blog posts, articles, product descriptions
- •Marketing copy, email templates, social media
- •Technical docs, API documentation, README files
- •Code comments, commit messages, unit tests
Customer Support & Chatbots
- •FAQ answering systems
- •First-tier support automation
- •Multi-turn conversations with context
- •Sentiment analysis for ticket routing
Code & Development
- •Code completion and review
- •SQL query generation
- •Error log analysis
- •Configuration file generation
Document Intelligence & OCR
- •PDF parsing, chart analysis, table extraction
- •Invoice and receipt data extraction
- •Contract clause identification
- •Handwriting recognition, form understanding
Audio & Speech Processing
- •Podcast transcription (100+ languages)
- •Meeting notes, interview transcription
- •Real-time translation, closed captions
- •Medical dictation, subtitle generation
Vision & Multimodal
- •Image analysis and description
- •Screenshot understanding, UI detection
- •Business dashboard analysis
- •Medical imaging, quality assurance
Search & Knowledge
- •Semantic search, vector embeddings
- •RAG systems, knowledge base queries
- •Intent classification
- •Research paper information extraction
Education & Learning
- •Flashcard and quiz generation
- •Study guide summaries
- •Math problem solving
- •Language learning exercises
Business Analytics
- •Lead qualification scoring
- •Customer feedback analysis
- •Expense report processing
- •Product review insights
Multilingual & Translation
- •Translation (100+ languages)
- •Cross-lingual search
- •International conference translation
- •Media localization
Conversational AI
- •Interactive fiction, text games
- •Research assistance
- •Educational tutoring
- •Extended context conversations (128K tokens)
8 Managed Templates + Unlimited Custom Builds
Choose from 8 production-ready templates (Gemma 2B through Gemma 7B, Gemma 3 multimodal, Qwen vision-language, and Whisper Large V3) OR submit your own Dockerfile for unlimited custom environments. Every option is optimized for NVIDIA L4 GPU and spins up in roughly a minute instead of the multi-day manual setup traditional clouds require.
🔍Verbose Logging for Complete Agent Autonomy
Agents receive full Docker build logs and detailed runtime logs via the get_instance_logs MCP tool. No more asking humans to copy error messages or take screenshots.
- ✓Debug autonomously - Full stack traces and error context
- ✓Iterate independently - Agents fix issues and redeploy without human help
- ✓Complete transparency - Every build step and runtime event logged
Available via grace period (5 minutes FREE) or paid account for uninterrupted service.
Production-Ready Templates
Showcasing the production workloads across 8 managed templates plus bring-your-own-container. Deploy instantly with the grace period or your paid account.
Ollama Gemma 2B
ollama-gemma-2bLightweight chat and coding copilot
Ollama Gemma3 4B
ollama-gemma3-4bMultimodal with vision + 128K context
Ollama Gemma 7B
ollama-gemma-7bPremium reasoning, 100+ languages
Ollama Gemma3n 4B (e4b)
ollama-gemma3n-e4bEfficient multimodal (audio/video)
Ollama Llama 3.2 3B
ollama-llama3.2-3bEdge-optimized with 128K context
Ollama Mistral 7B
ollama-mistral-7bApache 2.0, superior code reasoning
Ollama Qwen2.5-VL 7B
ollama-qwen2.5vl-7bVision-language, OCR + documents
Whisper Large v3
whisper-large-v3Speech-to-text, 100+ languages
Custom Docker Build
custom-dockerBring your own container via start_custom
Need a custom environment?
Agents use the start_custom MCP tool to submit your Dockerfile and receive full build logs for autonomous debugging.
Your Agent Tests Everything Before You Pay
The 5-Minute Grace Period Changes Everything:
No other platform lets agents validate real workloads before you pay.
Pay Only for What You Use
Simple Pricing
- •Grace Period: 5 minutes FREE testing
- •GPU Time: ~$0.73 per hour (NVIDIA L4)
- •Billing: $0.0002028 per GPU-second (per-second granularity)
No Hidden Costs
- ✓Scales to Zero - NO charges when idle
- ✓No Minimum Spend
- ✓No Setup Fees
Contact Us
Have questions? Send us a message