AI Knowledge Base · AI Cloud Platforms · Hyperscalers
Google Cloud
Vertex AI, Gemini and TPUs alongside NVIDIA GPUs.
Best for: Teams building on Gemini, data-heavy AI on BigQuery, and large training runs on TPUs.
AI services
- Vertex AI: Gemini and partner models from Model Garden, tuning, evaluation, pipelines and endpoints.
- Vertex AI Agent Builder and Agent Engine, with the open-source Agent Development Kit (ADK) and the Agent2Agent (A2A) protocol.
- BigQuery ML and Vertex AI Search for retrieval over enterprise data.
GPUs and accelerators
- Cloud TPUs, including the latest generations for training and inference.
- A3 (H100), A3 Ultra (H200), A4 (B200) and A4X (GB200) VMs.
- GKE with GPU and TPU node pools; Cloud Run with GPUs for serverless inference.
Agents and identity
- Workload Identity Federation so services and pipelines authenticate without key files.
- IAM conditions and service accounts per agent.
Security and data
- VPC Service Controls around Vertex AI, customer-managed encryption keys and data residency controls.
- Model Armor to screen prompts and responses for injection and data leakage.
Scaling and optimisation
- Provisioned throughput for Gemini; dynamic workload scheduler for GPU and TPU capacity.
- Context caching and batch prediction to reduce cost.
UK and EU regions
London (europe-west2) and EU regions.
Watch out for
TPU code paths (JAX, PyTorch/XLA) differ from CUDA; plan the port before committing.
How Workstation helps: We build Vertex AI and Gemini solutions, run GKE GPU and TPU clusters, and connect them to on-premises data.
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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