$GROQ

Missed out on GROK? Here is your chance to buy GROQ! The better AI version of GROK. Groq Inc was founded in 2016 way before grok was released! Groq and xAI are in different, but related businesses. Groq is making the chips that make it possible for any generative AI model to be insanely fast (their demo is on Llama 2), but they’re both in the AI business.

WHAT IS GROQ AI?

GROQ AI has actually been around longer than GROK (GROK AI was established in 2016)

GROQ AI chip uses knowledge from deep learning to make new predictions for data lightning speed.

What does this mean? The his means GROQ AI is 10x faster, uses 10x less energy, is 10x cheaper, and brings software to market 20x faster than anything else out there!

Imagine what this could mean in the real world?? Could GROQ AI help:

-bring drugs to market faster? For instance, helping cure cancer!?
-use predictive models to predict patient behavior around drugs and even reduce the risk of addiction or overdose?
-help security teams find breaches faster? Maybe in seconds instead of hours or days!!

So many use cases!

Now here is the fun part! Did GROK take GROQ AIs name? This is the question that even Jonathan Ross at GROQ AI wants to know as shown below in recent cease and desist letter:

Why Groq?

Groq is on a mission to set the standard for GenAI inference speed, helping real-time AI applications come to life today.

Origin

Groq was founded in 2016 and our name was officially trademarked in the same year.

If you’ve heard the rumor our inception started pool-side, you heard correctly! All those years ago, we were the first to go by Groq (more on that here) and were born with the vision of making AI accessible for all.

Geo-agnostic

Groq is based in Mountain View, CA with Groqsters (what we call our teammates) worldwide. While we have brick-and-mortar locations, we’re everywhere from San Diego to Austin to New York City, with concentrations of Groqsters in Silicon Valley, Toronto, Liberty Lake, and London.

What is the LPU Inference Engine?

An LPU Inference Engine, with LPU standing for Language Processing Unit™, is a new type of end-to-end processing unit system that provides the fastest inference for computationally intensive applications with a sequential component to them, such as AI language applications (LLMs).

Why is it so much fast than GPUs for LLMs and GenAI?

The LPU is designed to overcome the two LLM bottlenecks: compute density and memory bandwidth. An LPU has greater compute capacity than a GPU and CPU in regards to LLMs. This reduces the amount of time per word calculated, allowing sequences of text to be generated much faster. Additionally, eliminating external memory bottlenecks enables the LPU Inference Engine to deliver orders of magnitude better performance on LLMs compared to GPUs.

For a more technical read about our architecture, download our ISCA-awarded 2020 and 2022 papers.

Does Groq run standard machine learning (ML) frameworks?

Groq supports standard machine learning (ML) frameworks such as PyTorch, TensorFlow, and ONNX for inference. Groq does not currently support ML training with the LPU Inference Engine.

For custom development, the GroqWare™ suite, including Groq Compiler, offers a push-button experience to get models up and running quickly. For optimizing workloads, we offer the ability to hand code to the Groq architecture and fine-grained control of any GroqChip™ processor, enabling customers the ability to develop custom applications and maximize their performance.

How do I get started Using Groq?

We’re excited you want to get started with Groq. Here are some of the fastest ways to get up and running:

• GroqCloud: Request API access to run LLM applications in a token-based pricing model
• Groq Compiler: Compile your current application to see detailed performance, latency, and power utilization metrics. Request access via our Customer Portal.
• Interested in purchasing on-prem hardware? Contact us.