AI Knowledge Base · AI Cloud Platforms · GPU marketplaces
RunPod
GPU pods and serverless GPU endpoints.
Best for: Inference APIs that scale to zero, and quick GPU pods for development.
AI services
- Pods on Secure Cloud (datacentre partners) or Community Cloud.
- Serverless GPU endpoints that scale with requests, and Instant Clusters for multi-node work.
GPUs and accelerators
- A broad range of NVIDIA and AMD GPUs, from RTX cards to H100 and newer.
Agents and identity
- API keys and endpoint authentication; put your own gateway and identity in front.
Security and data
- Use Secure Cloud for anything sensitive; Community Cloud hosts are third parties.
Scaling and optimisation
- Serverless workers scale up and down automatically; set minimum workers to avoid cold starts.
UK and EU regions
Data centres in Europe and North America; choose regions per workload.
Watch out for
Cold starts on serverless endpoints; image size and model loading time matter.
How Workstation helps: We package models for fast cold starts, put authenticated gateways in front, and wire endpoints into CI/CD.
Scaling AI at large scale with Amazon Bedrock →CI/CD for LLMs, agents and data in the cloud →Securing LLM and agent APIs →The AI agent harness →Identity and authentication for AI →
Other providers we work with
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