Groq

What Groq does

Groq delivers fast, low-cost inference that doesn’t flake when things get real. They pioneered the LPU (Language Processing Unit), the first processor designed specifically for AI inference, in 2016. This custom silicon provides exceptional speed and affordability at scale. Groq offers a global cloud platform, GroqCloud, powering production AI workloads with LPU-based stacks running in data centers worldwide for low-latency responses. They provide an OpenAI-compatible API for seamless integration and support various large language models, text-to-speech, and automatic speech recognition models. Groq also offers prompt caching, built-in tools like search and code execution, and batch API processing. Their solutions are designed for consistent performance, predictable spend, and secure deployment, with options for public, private, or co-cloud instances, and on-premise deployment with GroqRack.

Products

• Groq LPUThe first processor designed specifically for AI inference, a custom silicon chip built for exceptional speed and affordability at scale.
• GroqCloudA global cloud platform for AI inference, built for developers, offering fast responses, scalable performance, and predictable costs. It supports LLMs, STT, TTS, and image-to-text models, with public, private, or co-cloud instances.
• GroqRackAn on-premise deployment option for the LPU, available by request, ideal for regulated industries or air-gapped environments.
• Groq APIAn OpenAI-compatible API for integrating Groq's inference capabilities, supporting various models and tools.
• Compound SystemsIntelligent AI systems powered by multiple openly-available models in GroqCloud, designed to intelligently and selectively use tools to answer user queries, including web search and code execution.
• Batch APIAn asynchronous API for processing large-scale workloads with 50% lower cost and no impact to standard rate limits.

Key capabilities

• Fast, low-cost inference
• Custom LPU (Language Processing Unit) chip
• Global cloud platform (GroqCloud)
• OpenAI-compatible API
• Support for LLMs, STT, TTS, and image-to-text models
• Prompt caching
• Built-in tools (Basic Search, Advanced Search, Visit Website, Code Execution)
• Batch API processing
• Consistent performance
• Predictable spend
• Public, private, or co-cloud instances
• On-premise deployment (GroqRack)
• Enterprise-grade data encryption
• SOC 2, GDPR, HIPAA compliant
• Optional private tenancy
• Zero-data retention available
• Regional endpoint selection
• Scalable capacity
• Dedicated support
• LoRA Fine-Tunes
• Auto-scaling without overhead
• Instant failover
• 99.5% uptime

Use cases

• Real-time AI products from prototype to production
• Healthcare agents for continuous, context-aware patient intelligence
• Medical imaging and diagnostics processing
• Clinical documents and records insights (summarization, automating discharge notes)
• Real-time threat detection in defense environments
• Mission-critical intelligence from massive, time-critical data
• Optimizing missions, securing facilities, managing national data platforms
• Real-time risk detection and compliance in finance
• Personalized client engagement in finance (advice, recommendations, insights)
• Intelligent decision automation for financial operations
• Real-time content production and virtual environments in entertainment
• Accelerating content creation pipelines
• Powering immersive personalization in entertainment
• Redefining websites and e-commerce with millisecond inference
• Faster end-to-end processing for various models
• Detecting AI-generated writing
• Faster command processing in games
• Fast, intelligent knowledge retrieval
• Intelligent sports insights
• Reducing latency for interactive agents (especially voice)
• Contextual intelligence platforms processing large volumes of articles
• Arabic AI customer engagement with ultra-low latency inference
• Personal finance applications
• Software quality assurance

AI approach

Groq specializes in AI inference, having pioneered the LPU (Language Processing Unit) in 2016, a custom silicon chip purpose-built for fast and affordable inference. They offer a cloud platform, GroqCloud, which provides access to various AI models (LLMs, STT, TTS, image-to-text) and supports industry-standard frameworks. Groq's approach focuses on delivering high-speed, low-latency, and cost-efficient inference at scale, emphasizing deterministic performance for real-time AI applications. They provide an OpenAI-compatible API for easy integration.

Tech named: LPU (Language Processing Unit), GroqCloud, OpenAI compatible API, Compound AI systems, Batch API, Prompt Caching, GPT OSS 20B, GPT OSS 120B, Llama 3.3 70B Versatile, Llama 3.1 8B Instant, Qwen 3.6 27B, Minimax M2.7, Canopy Labs Orpheus English, Canopy Labs Orpheus Arabic Saudi, Whisper V3 Large, Whisper Large v3 Turbo, moonshotai/kimi-k2-instruct-0905

Industries served

• Technology
• Healthcare
• Defense
• Finance
• Entertainment
• E-commerce
• Gaming
• Sports
• News and Information
• Telecommunications
• Software Development

What it says sets it apart

• Pioneered the LPU, the first chip purpose-built for inference
• Custom silicon architecture designed specifically for AI inference, not adapted from GPUs
• Delivers world's fastest inference at scale
• Offers low-cost inference with predictable pricing and no hidden costs
• Provides consistent performance and predictable spend
• Offers on-premise deployment options for regulated industries or air-gapped environments
• Supports a wide range of leading GenAI models across text, audio, and vision modalities
• OpenAI-compatible API for easy integration
• Strong focus on security and compliance (SOC 2, GDPR, HIPAA, Zero Data Retention)
• Proven track record of significant speed improvements and cost reductions for customers