Build
Move from GPU selection to a running workload with a consistent cloud workflow.
GPU cloud for
people who build.
Discover GPU compute, choose an accelerator for your workload and manage deployment through one workspace. BurstDock is built for developers working on inference, fine-tuning, training and accelerated applications.
Integrate
Use developer-facing integration surfaces and MCP tooling where supported.
AI-readable
Machine-readable documentation makes BurstDock easy to understand and integrate with developer tooling.
01 / START HEREDeveloper paths.
Getting started
Understand the BurstDock workflow from GPU selection through lifecycle control.
Choose a GPU
Size compute using VRAM, model requirements, latency and throughput.
GPU sizing calculator
Estimate model-weight VRAM and understand the headroom an inference runtime needs.
LLM inference tutorial
Go from serving requirements to a measured GPU deployment.
AI inference
Plan GPU compute for model-serving workloads.
LLM fine-tuning
Size training compute around the actual fine-tuning method.
Useful to humans.
Legible to agents.
BurstDock publishes concise machine-readable discovery alongside normal developer documentation. These documents describe BurstDock products, GPU guides, developer workflows and integration resources in a concise format.