Introducing
Off-Peak Computing


Off-Peak Computing by EXXA is the most energy and cost-efficient batch inference service on the market. By consolidating requests over a 24-hour period, we are able to process requests at the lowest possible costs while prioritizing computing in low-emissions countries and off-peak hours.

calendar July 24, 2024
duration 3 min
duration EXXA team

We are excited to announce the launch of EXXA Off-Peak Computing inference service starting with the impressive Llama 3.1 70B model by Meta. At just $0.34 per million tokens, we offer the lowest price in the market for batch processing, combined with the most sustainable approach in the industry.

We believe that using Generative AI technology the right way should be extremely easy and affordable. Focusing first on tasks that do not require instantaneous responses, we are able to deliver impressive results both financially and environmentally.

A concrete solution to reduce Gen-AI CO2 emissions

The environmental impact of generative AI is indeed massive, potentially increasing the share of global CO2 emissions from data centers from 2% to 4% by 2030 and therefore significantly increasing the pressure on power grids.

EXXA addresses this challenge with "Off-Peak Computing", an innovative inference API that reduces the carbon footprint of generative AI processing by:

EXXA technical innovations also translate financially

Our mission is to provide the most efficient Gen-AI processing. We have developed proprietary solutions that enhance flexibility and efficiency, making EXXA the most cost-effective choice in the market.

At just $0.34 per million tokens for Llama 3.1 70b, EXXA offers the cheapest batch processing service available.

We make key use cases more affordable

EXXA LLM inference is ideal for many applications that benefit from large and powerful language models without needing instantaneous responses. Key use cases include:

Starting with Llama 3.1 70b Instruct

We are happy to launch EXXA Off-Peak Computing with Llama 3.1-70b-Instruct by Meta, featuring:

Contact us if you have any questions or want access to additional models at: founders@withexxa.com.

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