Fast inference API with OpenAI-compatible endpoints (GroqCloud)
Groq operates GroqCloud, an inference service that exposes hosted models through an OpenAI-compatible HTTP API (documented example base URL: https://api.groq.com/openai/v1). The company emphasizes LPU-based inference for speed and cost efficiency and positions GroqCloud for production workloads alongside developer onboarding via its console.
Use cases
- Swapping an OpenAI client to Groq by changing base_url and API key
- Low-latency chat or agent backends that need fast token streaming
- Cost-sensitive inference where Groq’s pricing fits the workload
- Prototyping against multiple hosted models from one vendor API
Key features
- OpenAI-compatible client example using base_url https://api.groq.com/openai/v1 (per Groq homepage documentation)
- Hosted model catalog available through GroqCloud
- Global data-center footprint described for low-latency inference
- Developer console for API keys and onboarding
Who Is It For?
- Backend engineers integrating LLM inference
- Startups optimizing latency and inference spend
- Platform teams evaluating alternative inference providers
Frequently Asked Questions
- Is Groq’s HTTP API compatible with OpenAI SDKs?
- Groq documents an OpenAI-compatible integration pattern on groq.com (OpenAI client with base_url set to https://api.groq.com/openai/v1).
- What is an LPU in Groq’s marketing?
- Groq describes its LPU as custom inference silicon distinct from GPU-only stacks; treat throughput/latency claims as vendor positioning and validate on your own workloads.
- Where are pricing and quotas defined?
- Use the Groq console and official pricing pages for current rates, limits, and model availability.
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