Use Case

Compute-heavy tasks.

Run compute-heavy workloads like rendering, simulations, and batch processing on powerful, on-demand GPUs.

High-performance compute, on demand.

Harness the power of Bajo Cloud's GPUs for intensive, parallelized workloads.

GPU-powered speed

Leverage A100 and H100 GPUs for simulations and rendering.

Parallel processing

Run large-scale jobs even faster with high-efficiency multi-GPU execution.

Scale compute precisely when you need it.

Run massive compute workloads with dynamic scaling and zero idle costs.

Pay-per-use pricing

Avoid idle GPU costs and pay only for active inference time.

Spot GPU savings

Use low-cost spot instances to reduce expenses without sacrificing performance.

Deploy and run HPCjobs effortlessly.

Launch pre-configured environments for simulations, rendering, and AI training.

Pre-config setups

Launch environments with CUDA, PyTorch, and other dependencies ready to go.

Batch or interactive

Run large-scale batch jobs or interactive sessions—no manual config needed.
Developer Tools

Built-in developer tools & integrations.

Powerful APIs, CLI, and integrationsthat fit right into your workflow.

Full API access.

Automate everything with a simple, flexible API.

CLI & SDKs.

Deploy and manage directly from your terminal.

GitHub & CI/CD.

Push to main, trigger builds, and deploy in seconds.

Build what's next.

The most cost-effective platform for building, training, and scaling machine learning models—ready when you are.