AI Knowledge Base · AI Cloud Platforms · Hyperscalers
Amazon Web Services
Amazon Bedrock, SageMaker AI and the broadest GPU and custom-silicon range.
Ideal para: Enterprises that want managed access to many foundation models, strong governance and the option to train and host their own.
AI services
- Amazon Bedrock: one API for foundation models from Anthropic (Claude), Meta (Llama), Mistral, Cohere, Amazon Nova and others, with Knowledge Bases for RAG, Guardrails, batch inference and model evaluation.
- Bedrock AgentCore: managed runtime, memory, gateway, identity and observability for production agents built with any framework.
- Amazon SageMaker AI: training, fine-tuning and hosting, with SageMaker HyperPod for resilient large-scale training clusters.
- Amazon Q for developers and business users.
GPUs and accelerators
- EC2 P5 (H100), P5e/P5en (H200), P6 (Blackwell) and GB200 UltraServers.
- AWS Trainium and Inferentia instances for lower-cost training and inference.
- EKS with Karpenter for GPU autoscaling; capacity blocks for reserved GPU time.
Agents and identity
- AgentCore Identity for agent credentials and OAuth to third-party tools; IAM roles for every workload.
- EKS Pod Identity or IRSA so containers never hold long-lived keys.
Security and data
- Bedrock does not use your prompts or outputs to train base models.
- PrivateLink (VPC endpoints) keeps model traffic off the internet; KMS encryption; CloudTrail logs every call.
- Guardrails for content filtering, denied topics, PII redaction and grounding checks.
Scaling and optimisation
- Cross-region inference profiles to absorb traffic spikes; provisioned throughput for guaranteed capacity.
- Prompt caching, batch inference and intelligent prompt routing to cut cost per request.
UK and EU regions
London (eu-west-2) and EU regions; check model availability per region.
Watch out for
Per-model quotas (tokens and requests per minute) need raising well before launch.
How Workstation helps: We design Bedrock architectures, model and raise quotas, build agents on AgentCore, and connect AWS to your on-premises GPUs.
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
Logos are trademarks of their respective owners, used only to identify each platform, and come from Wikimedia Commons. Diagrams by the Workstation team.