PromoUp to $20 prize draw, no card needed for signup.Managed GPU execution for AI developers, ML engineers, and agent builders

Jungle Grid is the execution layer between your AI workload and the GPU capacity needed to run it. Submit a container, model task, or agent job; Jungle Grid picks suitable hardware, starts the run, streams logs, and keeps the result visible.

Start freeBook a demo
$npx @jungle-grid/cli@latest login
For AI agentsnpx @jungle-grid/mcp
No GPU knowledge requiredUp to $20 prize draw, no card needed for signup

Submit a workload

Real workload submit
npx @jungle-grid/cli@latest submit \
  --workload inference \
  --model-size 7 \
  --image pytorch/pytorch:2.4.0-cuda12.1-cudnn9-runtime \
  --name chat-infer
Then check the run:npx @jungle-grid/cli@latest status <job-id>
VRAMFit checks
LiveLogs
AutoRecovery

What Jungle Grid is

A managed GPU execution platform for AI jobs.

Jungle Grid lets you run model inference, fine-tuning, image generation, batch processing, and containerized AI tasks without renting GPU servers, choosing cloud providers, or wiring up failover yourself.

You bring the job. Jungle Grid brings the GPU.

It is not a notebook and not a raw cloud console. It is the execution layer between your AI app or workflow and the GPU capacity needed to run it.

1. Submit

Send an AI workload

Use the CLI, API, portal, or an AI agent to submit inference, training, image generation, batch scripts, or containerized jobs.

2. Route

Jungle Grid chooses the GPU

It checks model size, VRAM fit, price, queue pressure, provider health, and reliability before placing the job.

3. Get results

Track logs and artifacts

You watch status and logs from one place, then collect outputs such as generated files, model artifacts, or job results.

What you stop managing

Instead of opening GPU dashboards, comparing instance types, and building retry logic, you submit the workload and monitor it from Jungle Grid.

GPU selection and provider routing
Machine startup and workload dispatch
Live status, logs, retries, and artifacts
Run your first jobSee the full explainer

One surface in, healthy GPU out

Agents and developers submit jobs. Jungle Grid routes them to healthy GPUs.

The request stays simple on the left. The routing work happens in the middle. Capacity, health, and execution state stay visible before the workload lands on a machine.

Intent-awareHealth-awareLoad balanced
Agents and developers submit jobs into Jungle Grid, which routes requests to healthy GPU targets.
Submitdevelopers, agents, apps
Routefit + health + cost
Runhealthy capacity only

Who uses Jungle Grid

ToolHow you use itWhat you manage yourself
Google ColabBrowser notebook, click "Run"Code, environment, session timing
AWS / RunPodRent raw GPU machines, manage everythingMachines, GPUs, regions, scaling
Jungle GridRun AI jobs with 1 command or simple APIOnly your prompts / tasks. We choose GPUs and providers.

You don't need any separate cloud or GPU accounts. You only sign up for Jungle Grid.

Demos

See the workload route before you read the rest.

Activepieces workflow demoReady Paths · Workflow automation

31 Seconds. Zero GPU Setup. One Completed AI Job.

See a real AI workload run from an Activepieces workflow through Jungle Grid Ready Paths — from trigger to completed result in 31 seconds, without manually provisioning or selecting GPUs.

Shows: Activepieces workflow → Jungle Grid execution → completed workloadWatch on YouTube
CLI demoIntent-first terminal submit

Stop Choosing GPUs. Just Run the Workload (CLI Demo)

A straight operator flow in the terminal: describe the workload, submit by intent, and let Jungle Grid place the run on compatible GPU capacity.

Shows: Operator-first submission through the CLIWatch on YouTube
Claude demoNatural language to GPU execution

Describe a Workload in Claude → It Runs on GPUs

A Claude-driven workflow where a natural-language workload request becomes a real GPU-backed execution path through Jungle Grid.

Shows: Agent-led workload execution from ClaudeWatch on YouTube

Run your next AI workload on Jungle Grid.

Submit from the CLI, API, or your agent workflow. Jungle Grid handles placement, logs, recovery, and lifecycle tracking.

Create account
Read the docs

Up to $20 prize draw, no card needed for signup.

No card required to start$5 default spending cap for new accountsWe never train on your dataBilled only through Jungle Grid - no provider feesCancel any job at any time