Company Intelligence
Groq
Groq is the creator of the Language Processing Unit (LPU), a revolutionary hardware architecture that delivers instantaneous, deterministic LLM inference at over 500 tokens per second.
Overview
What this company is, what it builds, and who it serves.
Groq is an artificial intelligence hardware and cloud software company based in Mountain View, California. Founded in 2016 by Jonathan Ross (the original designer of Google's Tensor Processing Unit), Groq engineered the Language Processing Unit (LPU), an entirely new computing architecture designed from first principles for instantaneous generative AI inference.
Who it serves
Real-time voice agent developers, enterprise search architects, and latency-critical AI software engineers.
What it builds
GroqChip LPU, GroqRack computing cluster, and GroqCloud Developer Platform (serving Llama 3, Mistral, and Whisper).
Why It Matters
Groq is the creator of the Language Processing Unit (LPU), a revolutionary hardware architecture that delivers instantaneous, deterministic LLM inference at over 500 tokens per second.
Products
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GroqCloud
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Company
Groq
Industry
Products
Technologies
Capabilities
- Scalable domain-specific neural network architectures
- Enterprise-grade data protection, security, and compliance
- High-throughput API access and real-time inference processing
- Deep integration into modern developer and cloud infrastructure
Features
- GroqChip LPU
- High-performance developer API with comprehensive SDKs
- Enterprise workspace collaboration and role-based access control
- Continuous automated model evaluation and audit logging
Country
Official Resources
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Frequently Asked Questions
What is the Groq LPU?
The Groq Language Processing Unit (LPU) is a specialized silicon processor designed specifically for sequential language model inference, utilizing deterministic tensor streaming and on-chip SRAM memory to achieve speeds exceeding 500 tokens per second.
Who founded Groq?
Groq was founded in 2016 by Jonathan Ross, who previously co-invented the original Google Tensor Processing Unit (TPU).
Why is Groq faster than traditional GPUs for LLM inference?
Unlike GPUs that rely on high-latency external HBM memory and non-deterministic scheduling, Groq LPUs place all model weights directly into ultra-high bandwidth on-chip SRAM with compiler-controlled deterministic execution.
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