Nebius’ Post

Here’s how to run Meta Llama 3.1 405B with Nebius AI Studio API: https://lnkd.in/dY-5ntAY Top open-source models usually require major compute resources to operate. As a result, integrating an LLM like Meta Llama 3.1 405B into an app will have several pain points. You may also encounter a steep learning curve in understanding how to operate LLMs and optimize performance. Nebius AI Studio allows GenAI builders to use top open-source models without facing these difficulties. The platform provides an API to run such models. The rest you can find out in the guide. #GenAI #LLMs #opensource #API #guide

🔥 We’re launching a new Nebius platform built from the ground up We have developed a new version of Nebius platform that we believe will serve your needs even better. It is already being tested by our in-house LLM R&D team and a number of clients. Now, we are rolling it out to everyone. It features: - Faster storage - Support for bleeding-edge new GPUs and our latest ML services - Better observability - More intuitive UI Learn more on our blog: https://lnkd.in/dzaxsVWy #AIcloud #launch #GPUs #training #inference

Our booth can be сozier or more spacious from conference to conference, sometimes with flowers, sometimes without. One feature remains the same, though: here, you can always have a meaningful conversation about optimizing your AI infrastructure. Up until this Friday, we’re at GITEX GLOBAL Largest Tech & Startup Show in the World. Next stop… well, there will be many.

Another crowded competition to support with our infra this weekend! The hackathon, organized once again by our client Mistral AI along with Alan, challenged participants to solve healthcare-themed tasks. Alexander Golubev, the ML engineer from our LLM R&D team, gave a talk yesterday and has been among the judges today. More to come. #hackathons #healthcare #competitions

UPD: we've got more than 50 submissions and are no longer accepting new ones. Thanks to everyone for participating! If you were among the first 50, you’ll receive your ticket soon. 🟢 Register among the first 50 and get your free TechCrunch Disrupt ticket! We’re sponsoring TechCrunch Disrupt 2024 and giving away free tickets. Fill out this short form and be among the first 50 to secure yours: https://lnkd.in/dq4xDu8w We encourage you to register only if you can be in San Francisco during the conference, Oct 28-30. Please also note that the ticket is non-transferable and will only be valid for the person whose name you indicated on the form. If you attend the conference, don’t miss the talk "The AI Clouds Race: What's Behind the Scenes" presented by our CBO Roman Chernin, and make sure to stop by the vibrant Nebius booth. Good luck. #TechCrunch #Disrupt #giveaway #tickets

🏋️ Jumpstart your AI journey with $100 in free credits Inference Service, part of our new Nebius AI Studio, provides endpoints for the most popular open-source AI models. We’re offering our first users $100 worth of free tokens — that's ~40,000 interactions! Imagine: - A chatbot that can talk for weeks - An AI writing assistant for someone’s next bestseller - A code companion for a year-long project From quick experiments to ambitious projects, your journey starts here. Grab your free $100 credit and let your ideas soar: https://lnkd.in/dfCwkfuy #GenAI #inference #tokens #opensource #chatbots

We’re tripling the GPU capacity at our own Finland data center to 75 MW — here’s a TNW article that explains it in detail.

🌄 Beyond ChatGPT: unlocking the power of open-source LLMs. Register for the webinar: https://lnkd.in/dspfBwhG As GenAI application builders face escalating costs and privacy concerns with proprietary models like ChatGPT, open-source alternatives such as Llama and Mistral are emerging as game-changers. These models offer comparable quality at a fraction of the cost, with enhanced privacy controls. In this webinar, Nebius’ team of experts will unveil our in-house inference infrastructure and share critical insights on navigating the token-as-a-service market. You will learn: - How to evaluate build vs. buy decisions for your GenAI infrastructure. - Selecting the optimal model: Balancing performance, cost and privacy. - Step-by-step guide to migrating from third-party providers to open-source solutions. - Key performance indicators for benchmarking inference providers. - Overcoming technical challenges in implementing cost-effective inference infrastructure. # For who For GenAI builders, CTOs, product managers, technical co-founders, data scientists and related roles in AI development. # When October 24, Thursday, 17:00 UTC+2 / 8:00 PST. We’ll finish around 18:00 after Q&A part. # Where Zoom. You will receive the link after registration. Register today: https://lnkd.in/dspfBwhG #webinars #LLMs #opensource #inference