Jungle Grid
Intent-based GPU orchestration for AI workloads
Jungle Grid is the execution layer for AI workloads and agents. Describe what you want to run, and Jungle Grid routes it to the right GPU/provider automatically.
Features
- Intent-based AI workload execution
- Automatic GPU/provider routing
- CLI and MCP support
- Job estimates before running
- Logs, status tracking, and failure handling
- Supports inference, training, fine-tuning, and batch jobs
Use Cases
- Running AI/ML experiments
- Deploying model inference jobs
- Agent tool execution through MCP
- Training or fine-tuning models
- Avoiding manual GPU selection
- Reducing failed cloud GPU runs
Comments
I built Jungle Grid because running AI workloads kept turning into infrastructure problems instead of actual building. Picking GPUs, dealing with failures, fixing environments it slowed everything down. So I made it simple: describe your workload, and Jungle Grid runs it. Still early, so I’d love honest feedback what’s been your biggest pain with AI compute?
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Comments
I built Jungle Grid because running AI workloads kept turning into infrastructure problems instead of actual building. Picking GPUs, dealing with failures, fixing environments it slowed everything down. So I made it simple: describe your workload, and Jungle Grid runs it. Still early, so I’d love honest feedback what’s been your biggest pain with AI compute?
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