Overview
Groq provides the world's fastest LLM inference using custom-designed Language Processing Unit (LPU) chips. Founded by former Google TPU team members, Groq has built hardware specifically optimized for transformer models, achieving speeds of 500+ tokens per second - dramatically faster than GPU-based solutions.
The platform offers API access to popular open-source models running on Groq's LPU infrastructure. This makes Groq ideal for applications where response speed is critical, like real-time chat, voice assistants, and interactive AI experiences. Their generous free tier has made them popular for development and experimentation.
Key Features
**Extreme Speed**: 500+ tokens/second inference**LPU Hardware**: Custom chips for transformers**Open Models**: Llama, Mixtral, Gemma access**Low Latency**: Single-digit millisecond response times**Free Tier**: Generous free usage limits**Simple API**: OpenAI-compatible endpoints**Deterministic Performance**: Consistent, predictable speeds**Real-Time Capable**: Suitable for live applicationsWhen to Use Groq
Groq is ideal for:
Real-time conversational applicationsVoice assistants requiring instant responsesInteractive AI experiencesApplications where latency matters mostHigh-throughput batch processingDevelopment and prototyping (free tier)Pros
Fastest inference in the industryGenerous free tier for developmentDramatically better latency than GPUsSimple API integrationGood model selection (Llama, Mixtral)Consistent, predictable performanceGreat for real-time applicationsImpressive technology demonstrationCons
Limited to open-source modelsNo proprietary models (GPT-4, Claude)New platform with limited track recordHardware dependency (single vendor)Limited geographic availabilityMay have capacity constraintsUncertainty about long-term pricingProduction SLAs still developingPricing
**Free Tier**: 14,400 requests/day (generous)**Pay-As-You-Go**: $0.27 per 1M tokens (Llama 70B)**Enterprise**: Custom pricing for dedicated capacity**Beta**: Pricing may change as platform matures