Ultra-fast LLM inference on custom LPU hardware
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Directory quality rating
Our take
Groq's custom LPU hardware delivers unmatched LLM inference speeds, making it ideal for performance-critical AI applications. Its support for open-source models via API adds flexibility.
Best for: Engineering teams at large enterprises needing high-performance LLM inference
Request a demo to evaluate Groq for your team.
See how Groq fits your stackBenefits
Accelerate AI model deployment with industry-leading inference speeds
Reduce operational costs with optimized hardware performance
Access open-source models via API for rapid integration
Scale AI infrastructure seamlessly to meet enterprise demands
Minimize development time with comprehensive documentation
About
Delivers ultra-fast LLM inference through custom LPU hardware, enabling developers to run open-source models like Llama and Mixtral at unprecedented speeds. Built for applications requiring rapid AI responses at scale.
Custom LPU hardware for optimized performance
Supports open-source models via API
Fastest LLM inference speeds in the industry
Scalable architecture for enterprise needs
Comprehensive documentation for developers
Category
ai-infrastructure
Department
Engineering
Pricing
Contact_sales (from contact_sales)
Website
groq.com
Use cases
Build real-time AI applications requiring sub-second response times
Deploy high-throughput inference for chatbots and content generation
Run complex reasoning tasks at competitive pricing with ultra-low latency
Best for
Pricing
Groq starts at contact_sales
Starting at contact_sales
Ecosystem
MCP servers, AI skills, and integrations that work with Groq
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FAQs
Common questions about Groq and its capabilities
Groq is an AI infrastructure platform that provides ultra-fast LLM inference using custom Language Processing Unit (LPU) hardware. It offers API access to open-source models with industry-leading speed and scalable architecture designed for enterprise AI applications.
Our team can help you integrate Groq with your existing tools and build custom automation workflows.
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