NVIDIA
GPU compute and the AI software stack (CUDA, NIM) underpinning most AI infrastructure.
Stand up a production-grade inference or copilot pilot with real usage.
AI economics are dominated by inference cost and capacity planning. A POC with real usage surfaces cost-per-token, latency, and the guardrails needed for production.
Every brokered proof-of-concept is scoped to test what actually drives your decision.
Open a vendor to learn where they fit and what a proof-of-concept should test — or request one directly.
GPU compute and the AI software stack (CUDA, NIM) underpinning most AI infrastructure.
Frontier Claude models with a focus on safety, long context, and enterprise controls.
Widely adopted GPT models and tooling with a broad developer ecosystem.
AI assistants embedded across Microsoft 365 and the developer stack.