Groq
Ultra-fast AI inference on custom hardware
Overview
Groq is an AI inference company that has built custom Language Processing Unit (LPU) hardware specifically designed for running large language models at unprecedented speeds. Offering free API access to models like Llama 3.1 and Mixtral, Groq achieves inference speeds far exceeding traditional GPU-based serving, making real-time AI applications possible at scale.
Pricing Details
Free API access with generous rate limits. Paid plans for higher throughput and enterprise features.
Latest Model
Serves Llama 3.1 70B, Mixtral 8x7B, Gemma 2 9B
How to Use Groq
Visit groq.com and create a free API account
Generate an API key from the dashboard
Use the OpenAI-compatible API to send requests
Try GroqCloud playground for quick testing
Integrate into your application for ultra-fast responses
Key Features
Use Cases
The Good & The Bad
Pros
- Fastest inference speeds in the industry
- Generous free tier
- OpenAI-compatible API
Cons
- Limited model selection compared to competitors
- No fine-tuning support yet
- Rate limits on free tier during peak hours
At a Glance
Best For
Developers who need the fastest possible AI inference for real-time applications
Free Trial
Free tier with generous rate limits, no credit card required
Mobile App
Web only, API-first platform
API Access
Free OpenAI-compatible REST API with documentation and SDKs
Team Features
Enterprise plans with dedicated throughput and support
Last Updated
2026-02
Security & Privacy
- SOC 2 compliant
- API key authentication
- Enterprise-grade infrastructure
Supported Languages
Available Platforms
Journey
Groq launched
Groq was released to the public, marking its official debut in the AI landscape.
Latest version
Serves Llama 3.1 70B, Mixtral 8x7B, Gemma 2 9B
Last reviewed
Our team verified Groq's pricing, features, and capabilities to ensure accuracy.
Groq in Action
Start Using Groq Today
Try Groq with Free tier with generous rate limits, no credit card required and transform your workflow.
Frequently Asked Questions
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