Groq - LPU

Groq - LPU

3.0

Groq's LPU delivers ultra-fast AI inference for real-time applications. Experience high-performance computing.

Last Updated Oct 21, 2026
Groq - LPU screenshot

About

Groq is an innovative company focused on artificial intelligence computing, offering a hardware and software platform built around its proprietary LPU™ (Language Processing Unit) inference engine. The platform is designed to deliver extremely high performance, ultra-low latency, and energy-efficient inference solutions for both cloud-based and on-premises AI applications, helping users efficiently deploy and run a wide range of AI models.

Key Features

High-Speed AI Inference: Leverages the LPU™ architecture to achieve extremely low-latency model inference.
Flexible Deployment: Supports both cloud and on-premises environments to accommodate diverse use cases.
Model Compatibility: Broad support for leading AI frameworks and common neural network models.
Energy Efficiency: Significantly reduces power consumption while boosting computational efficiency.

Pricing & Fees

  • Pricing: Not publicly listed on the pages we reviewed; check the official site for current plans.
  • Platform: Groq offers a fully integrated platform covering infrastructure, inference, and control, with millions of developers running trillions of tokens on it every week.
  • Hardware: Groq pioneered the LPU™ inference engine, and its newer LPX offering works alongside NVIDIA next-generation GPUs to deliver inference at scale.
  • Capacity: The company states it is building hundreds of megawatts of capacity, positioning fast and affordable inference as compatible rather than a tradeoff.
  • Developer access: A "Start building" entry point is available on the official site for developers to get started with the platform.

Who It's For

Groq's services are ideal for AI researchers and engineers who need high-performance inference for model testing and deployment, as well as enterprises and developers seeking low-latency, high-throughput AI application solutions. Cloud service providers and data centers looking to improve energy efficiency and reduce inference costs, along with innovative teams building real-time AI applications such as autonomous driving and voice interaction, will also find the platform well suited to their needs.