Blow Your Mind with Groc’s Lightning-Fast Language Model Inference

If you’re amazed by the speed of language model generation, get ready to have your mind blown. Groc’s new hardware platform, known as the Language Processing Unit (LPU), is revolutionizing the field of large language models (LLMs). In this article, we’ll explore the incredible speed and capabilities of Groc’s LPU, as well as their API access and pricing.

The Need for Speed: GPD 4 vs. Mixel 87b vs. GPT 3.5

Let’s start by comparing the speed of generation for different language models. On the right-hand side, we have GPD 4, and on the left-hand side, we have Mixel 87b. GPD 4 was able to generate almost 500 tokens per second, while Mixel 87b was still processing a request, which is mind-boggling.

Now, let’s try the same experiment with GPT 3.5. Groc’s LPU, called Croc, generated text at a speed of almost 500 tokens per second. This lightning-fast generation took only around 1.68 seconds. In comparison, GPD 4 was still generating text. It’s clear that Croc’s LPU is in a league of its own when it comes to speed.

Introducing Groc and the Language Processing Unit (LPU)

Groc, the company behind this groundbreaking technology, has developed a dedicated hardware platform for LLMs called the Language Processing Unit (LPU). This new hardware delivers 18 times faster inference for LLMs compared to the best available GPUs on the market. The LPU is a game-changer, enabling Groc to offer the best possible inference speed for open-source LLMs.

What sets Groc’s LPU apart is its optimized architecture for LLMs. Unlike GPUs, which were originally designed for graphics-intensive games and later repurposed for training deep neural network models, the LPU is specifically designed for language processing. This specialized architecture allows for faster inference by providing the fastest processing for computationally intensive applications with a sequential component, which is crucial for LLMs.

Unleashing the Speed: Groc’s Demo and API Access

Groc offers a demo that allows users to experience the speed and capabilities of their LLMs. Currently, two models are available: Lama 270 Bill and the mixture of expert model from Mistal AI. The focus of the demo is on the speed of inference rather than the accuracy of responses.

For example, using the Lama 270 Bill model, Groc’s LPU was able to generate around 280 tokens per second in real-time. The generation of a new chapter of Game of Thrones where Jon Snow gives his opinion on iPhone 14 took approximately 2.08 seconds. The demo also provides options to regenerate the text in bullet points or expand on it.

Groc’s platform also offers API access, which is fully compatible with the OpenAI API. Currently, API access is available to approved members, and you can apply for access through their website. If approved, you’ll receive 10 days of free access, allowing you to use up to 1 million free tokens. The API pricing is extremely reasonable, with Groc guaranteeing to beat any published price per million tokens by other providers.

The Mastermind Behind Groc: Jonathan Ross

Leading the team at Groc is CEO and co-founder Jonathan Ross, who is also the creator of the first Language Processing Unit (LPU). Prior to Groc, Ross worked at Google and was the creator of the Tensor Processing Unit (TPU), Google’s dedicated hardware for deep learning. His expertise and experience in developing specialized hardware for AI applications make Groc a force to be reckoned with.

How Groc Achieves Lightning-Fast Inference

Groc’s LPU outperforms traditional GPUs used by competitors in terms of inference speed. The LPU’s architecture overcomes two main bottlenecks for LLMs: compute density and memory bandwidth. As a dedicated hardware unit for LLM inference, the LPU offers greater compute density compared to GPUs and CPUs, resulting in faster generation of text. However, it’s important to note that the LPU is optimized for inference and not training, so GPUs are still necessary for training LLMs.

Endless Possibilities with Groc’s Lightning-Fast Inference

Groc’s blazing-fast inference speed opens up a world of possibilities for various applications. Near real-time conversations with LLMs are now within reach, especially when combined with faster speech-to-text models. This breakthrough technology has the potential to revolutionize industries and enable new applications that were previously unimaginable.

As Groc’s API access becomes available, many users will undoubtedly switch to this game-changing platform. The combination of incredible speed, accuracy, and reasonable pricing makes Groc a top choice for those seeking lightning-fast LLM inference.

Experience the power of Groc’s LPU for yourself and stay tuned for future updates on their API access. The future of language model inference has arrived, and it’s faster than ever before.