Compute network
Absorb fragmented capacity, not just one cloud.
Jungle Grid can route across managed providers and independent GPU capacity, depending on availability, policy, and workload fit.
Control plane view
One operator surface watches routing, recovery, and expanding capacity.
Jungle Grid keeps provider sprawl and independent node growth under one operational surface. Healthy pools stay visible, noisy paths are isolated, and new GPU inventory folds into the same control plane.
Managed providers
Managed AMD Instinct GPU Droplets with ROCm-aware routing, runner bootstrap, runtime logs, artifacts, and teardown.
Largest GPU spot marketplace. Broad fallback capacity across regions and hardware classes.
Community-driven GPU rental. Useful spillover capacity when tighter clouds cannot place the workload.
Purpose-built ML cloud. A100 and H100 pools for heavier jobs that need predictable storage and networking.
Kubernetes-native HPC cloud. Adds more controlled capacity when noisier pools are not a fit.
Low-carbon GPU cloud that broadens regional coverage and supply diversity.
Independent nodes join the same execution pool.
Independent operators can register eligible nodes directly. Jungle Grid validates hardware signals, checks workload fit, and routes into the same execution layer when policy and health checks allow it.
Give your agents an execution layer.
Submit work through the API. Jungle Grid handles execution, logs, recovery, and lifecycle tracking while your application stays focused on the result.