LIM Center, Aleje Jerozolimskie 65/79, 00-697 Warsaw, Poland
+48 (22) 364 58 00

Introducing Esperanto’s Generative AI Appliance for Efficient AI and HPC Workloads

Introducing Esperanto’s Generative AI Appliance for Efficient AI and HPC Workloads

Introducing Esperanto’s Generative AI Appliance for Efficient AI and HPC Workloads

Esperanto Technologies, a prominent developer of energy-efficient artificial intelligence (AI) and high-performance computing (HPC) solutions, has unveiled the industry’s first Generative AI Appliance based on RISC-V technology. Designed by Esperanto’s Data Science team, this appliance targets customers who seek to develop and deploy business applications rapidly using open-source Generative AI foundation models.

The Generative AI Appliance is an integrated software/hardware solution that can be installed in private data centers or at the enterprise edge using a standard server form factor. It offers high levels of data privacy and a lower total cost of ownership (TCO), eliminating the need for developers to continuously download, port, and optimize the latest Large Language Models (LLMs) and Diffusion Models on expensive GPU-based hardware.

This appliance is particularly beneficial for organizations looking to leverage Generative AI technology to create customized applications such as information summarization, data/knowledge queries, computer code generation, translation, and image generation. It is designed to support various application user interfaces and output texts, computer programs, and images. Esperanto also strives to expand the availability of LLMs and Diffusion models as they become public.

Industries such as healthcare, legal, and finance can greatly benefit from Esperanto’s new solution. Healthcare and legal professionals require quick and accurate summaries of complex descriptions while maintaining data privacy. The financial industry can also take advantage of the ability to translate legacy code to more modern and maintainable programming languages.

Esperanto’s Generative AI Appliance is powered by pretrained LLMs, including LLaMA 2, Vicuna, StarCoder, OpenJourney, and Stable Diffusion. The company’s strategy includes continuous updates to the system with the latest versions of popular open-source models as they are released.

According to Art Swift, the president and CEO at Esperanto Technologies, Generative AI has the potential to revolutionize content creation, code generation, and visual and video content. However, implementing LLM-based applications typically requires large data science teams, long development times, and expensive GPU-based platforms. Esperanto’s Generative AI Appliance addresses these challenges by providing advanced RISC-V hardware and pretrained LLMs that offer faster development, stronger data privacy, and high accuracy.

Leading analysts in the industry also recognize the importance of Esperanto’s Generative AI Appliance. Ben Bajarin, CEO and principal analyst at Creative Strategies, Inc., predicts a growing need for Enterprise Edge infrastructure refresh as more companies opt for on-premises AI and HPC workloads due to cost, privacy, and data sovereignty concerns. Karl Freund, founder and principal analyst at Cambrian-AI Research, emphasizes the significance of smaller LLM and diffusion models with reduced inference costs. Solutions like Esperanto’s Generative AI Appliance can provide significant cost savings compared to GPU-based systems.

Esperanto’s Generative AI Appliance is now available and comes with ET-SoC-1 AI Accelerator chips that can run up to four LLMs simultaneously. The appliance is delivered in a standard 2U-high rack-mounted chassis and can be directly obtained from Esperanto.

For additional details and pricing, interested parties can contact Esperanto Technologies directly through their website.

– Esperanto Technologies

Tags: ,