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Groq

Ultra-Fast AI Inference with Language Processing Units

What is Groq?

Groq is an AI infrastructure company that has developed the Language Processing Unit (LPU), a revolutionary processor designed specifically for ultra-low latency AI inference. Founded by former Google engineer Jonathan Ross, Groq's LPU delivers unprecedented performance, running Llama 2 70B at 300 tokens per secondโ€”10x faster than NVIDIA H100 clusters.

๐Ÿ’ก Key Innovation: Unlike GPUs that are general-purpose parallel processors, LPUs are purpose-built for deterministic, high-speed token generation using a tensor streaming architecture.

Groq's technology powers some of the fastest AI deployments in production:

Dropbox

Enterprise AI

Volkswagen

Automotive AI

Riot Games

Gaming AI

Meta

Llama API

LPU Architecture

The Language Processing Unit is fundamentally different from traditional AI accelerators:

Model Input Tensor Streaming Processor (TSP) Deterministic Dataflow Programmable Assembly Line Sequential Execution Tokens @ 300 t/s

Tensor Streaming

Deterministic dataflow architecture

No caches, no speculation

Assembly Line

Programmable execution model

Predictable timing

Single Purpose

Optimized for inference

No training overhead

LPU vs GPU: Key Differences

Aspect LPU (Groq) GPU (NVIDIA)
Architecture Deterministic dataflow Parallel processing cores
Design Focus Inference-only Training + inference
Latency Sub-millisecond Variable, higher
Throughput 300 tokens/sec (70B) 30 tokens/sec (70B)
Flexibility Specialized General-purpose
Energy Efficiency Up to 10x better Higher consumption

Tensor Streaming Processor (TSP)

The TSP is the core technology behind Groq's LPU. It eliminates the non-determinism found in traditional CPUs and GPUs by removing features like speculative execution, caches, and dynamic resource partitioning.

Deterministic Execution Benefits

Predictable Performance

Guaranteed timing for real-time applications

No Memory Contention

Eliminates cache thrashing and race conditions

Compiler-Optimized

Static scheduling for maximum efficiency

Scalable

Linear performance scaling across chips

Performance Benchmarks

๐Ÿš€ Record Breaking: Groq LPU delivers up to 18x faster LLM inference performance compared to top cloud providers on Anyscale's LLMPerf leaderboard.

Llama 2 70B Performance

Groq LPU: 300 tokens/sec
NVIDIA H100: 30 tokens/sec
Speed Advantage: 10x faster

Latency Comparison

Groq LPU: <1ms per token
GPU Inference: 10-50ms per token
Latency Reduction: 10-50x better

GroqCloud Platform

GroqCloud is the cloud platform that provides access to Groq's LPU infrastructure. With over 1.9 million developers using the platform, it has become the go-to solution for production AI applications requiring ultra-low latency.

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Cloud API

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Developer Tools

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Monitoring

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Enterprise

Key Features

  • OpenAI-Compatible API: Drop-in replacement for existing AI applications
  • Multiple Models: Support for Llama, Mistral, Mixtral, and custom models
  • Global Infrastructure: Edge deployments for minimal latency
  • Enterprise Security: SOC 2 compliance and private deployments
  • Cost-Effective: Up to 10x better price-performance than GPUs

Ideal Use Cases

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Real-time Chatbots

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Gaming AI NPCs

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Voice Assistants

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AI Agents

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Code Generation

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Real-time Translation

Recent Developments (2025-2026)

๐Ÿค Meta Partnership

April 2025: Meta partners with Groq to power the official Llama API with LPU inference.

๐Ÿ’ฐ NVIDIA Deal

December 2025: $20B agreement with NVIDIA for IP licensing and team acquisition.

๐Ÿ“ˆ Developer Adoption

1.9M+ developers using GroqCloud with enterprise deployments growing rapidly.

โšก Performance Records

Continued benchmark dominance on LLMPerf and Artificial Analysis leaderboards.

Learn More

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