GMI Cloud vs Groq

OpenAI-compatible endpoints for LLM and multimodal models with request batching and scaling to zero

Managed Kubernetes clusters, container instances, and bare-metal servers with RDMA-ready networking

GB200 available and GB300 on pre-order alongside H100, H200, and B200 systems

Visual workflow builder for multi-step model pipelines plus a marketplace for publishing and using AI agents

Both hourly on-demand capacity and longer-term committed reservations are published

Custom Language Processing Units run inference, with 256 LPUs and 128 GB of on-chip SRAM per rack

Drop-in replacement for the OpenAI API at api.groq.com/openai/v1, including a Responses API

GroqMetal bare-metal infrastructure, GroqCore inference stack, and GroqAssured enterprise governance, each including the layers below

Text generation plus speech-to-text, text-to-speech, OCR and image recognition, and content moderation models

Compound systems that combine models with web search, code execution, remote MCP tools, and Google Workspace connectors

Performance, flex, and batch processing tiers, plus prompt caching, structured outputs, and LoRA inference