What is Groq?
Groq is an AI inference cloud for developers and organizations that need to run AI models in production. Its platform brings together dedicated infrastructure, an inference stack and enterprise controls through GroqMetal, GroqCore and GroqAssured. Groq builds its systems around LPUs and operates data centers across four continents. Teams can use the platform for inference workloads without needing to assemble each layer independently.
Groq Features:
Integrated Platform: GroqPlatform combines infrastructure, inference and control, with GroqMetal, GroqCore and GroqAssured providing the corresponding layers.
Dedicated Infrastructure: GroqMetal provides dedicated bare-metal infrastructure tuned for speed and reliability, with control over the underlying capacity.
Inference Stack: GroqCore is a tested inference stack that turns dedicated capacity into production-ready performance without requiring infrastructure expertise.
Enterprise Controls: GroqAssured adds governance, auditability and control for organizations that need oversight as their inference workloads scale.
LPU Hardware: Groq builds its inference systems around LPUs, with racks specified at 256 LPUs and 128 GB of on-chip SRAM.
Global Operations: Groq operates data centers across four continents, with listed locations in North America, Europe, Australia and Saudi Arabia.
Groq Benefits:
Simpler Production Setup: Teams can move from dedicated compute to production inference without having to bring separate infrastructure expertise to the stack.
Direct Infrastructure Control: Dedicated bare-metal capacity gives teams control over the infrastructure supporting their inference workloads.
Built for Scale: A platform spanning infrastructure, inference and control gives organizations a single environment for expanding production workloads.
Governance at Scale: Governance and auditability can accompany growing inference use, rather than being left outside the platform.
Speed and Affordability: Groq positions its inference platform to address speed and affordability together, rather than making customers choose between them.
Use Cases:
Production Model Serving: Use GroqCore to turn dedicated capacity into a production-ready setup for serving AI model inference.
AI Agent Tasks: Run inference for agent tasks that depend on models responding as part of an ongoing workflow.
Scaling Inference: Use the platform when an organization needs to expand its inference capacity while keeping infrastructure, inference and controls together.
Governed Workloads: Choose GroqAssured for production inference that requires governance, auditability and organizational control.
Bare-Metal Deployment: Use GroqMetal when a team needs dedicated bare-metal infrastructure and direct control over its inference capacity.