Ultra-fast, Enterprise-scale Inference AI Solutions for LLMs & Beyond
USA-based. Available now.
Groq offers ultra-fast LPU™ systems and a simplified software ecosystem to accelerate inference, maximizing human capital and technology performance.
Groq shares another record-breaking inference performance update for LLM, Llama-2 70B.
Groq Selects Samsung Foundry to Bring Next-gen LPU™ to the AI Acceleration Market
Read more about Groq being first to run Llama-2 70B at 100 tokens per second per user on a Groq LPU™ system.
Learn about LLMs from the perspective of Groq CEO, Jonathan Ross.
A thought leader discussion on the explosion and longevity of LLMs.
Learn how we got a state of the art LLM model running on Groq hardware.
Learn more about our work with Entanglement AI and the US Army.
Why Groq
USA-based with
Available Supply
Technology Demos
Ultra-low Latency
Developer Ease-of-use
& Kernel-less Compiler
Groq Leadership
Made for Inference
From Our Customers & Partners
“Groq is the technology bridging our solution and quantum, helping us deliver on the promises of quantum today.”
“We look forward to working with Groq to help our government partners address their enduring need for higher performance, lower latency compute solutions to process large volumes of data faster and use less power.”
Events
STAC events bring together CTOs and other industry leaders responsible for solution architecture, infrastructure engineering, application development, machine learning/deep learning engineering, data engineering, and operational intelligence to discuss important technical challenges in trading and investment.
The purpose of Imagine Nation ELC is to bring together the government technology community to discuss the issues facing government and work together to develop practical solutions and innovative strategies. We expect over 750 executives from government and industry to participate in what has been described as the “best event in the government technology arena.”
Network with global leaders in advanced AI, climate tech, chips, the industrial metaverse, security, healthcare, and more as we gather to discuss the future of technology, the coming bifurcation of the world economy, and how countries and states can improve their economies while fostering innovation and prosperity.
USA-based with Available Supply
Groq is headquartered in Mountain View, CA, and our solutions are designed, engineered, and manufactured in North America. Despite the many challenges facing the industry about readily-available hardware, Groq solutions are available and ready to ship.
Reach out to us to discuss hardware availability and deployment at [email protected].
Technology Demos
- LLM Llama-2 70B Running on Groq at 100 Tokens Per Second Per User
- Meta AI’s LLaMA Deployed on Groq
- Computational Fluid Dynamics Demo
Ultra-low Latency
Groq offers the lowest latency machine learning architecture on the market. For example, using Groq hardware, our customer Entanglement AI solved cybersecurity anomaly detection three orders of magnitude faster than traditional methods, confirmed by a US Army Validation Report. Watch the customer spotlight here.
For real-time, mission-critical applications, ultra-low latency is the difference maker.
Developer Ease-of-use & Kernel-less Compiler
With our easy-to-use software suite, developers can look ahead, optimize, and adjust performance-impacting components of a model instead of making the historical trade-offs between hardware and software.
We also built the generalizable and kernel-less Groq™ Compiler, which processes most workloads in a small fraction of the time–days, not months–compared with graphics processor-based inference systems. Learn more here.
Groq Leadership
Groq was founded by Jonathan Ross. After inventing the Google TPU to solve their impossibly expensive compute problem, Ross saw an opportunity for the next generation of AI. He congregated a small team to develop the software Groq is built on, and went on to develop the Tensor Streaming Processor, our novel and disruptive architecture designed to accelerate AI workloads at scale with ultra-low latency.
Read more about our CEO and founder here.
Made for Inference
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AI Summit 2023
