Nebius AI

Our CFO is, let’s say, adventurous — meaning that he’s flexible in his pricing strategies. He’s also open to new ideas on how to equip more clients with GPUs, NVIDIA H100s in particular. Introducing GPU descending-price auctions, also known as Dutch auctions. You can just place your bid and the number of needed GPU hours in the Nebius AI console. To win, a bid needs to match the asking price at some point. The higher your bid, the more chances you have. So if you’re also feeling adventurous, try it and get your cluster for building and experimenting. #GPUs #clusters #auctions #H100

👨👩👧👦 Hello again, MLOps Community! We’re once again gladly supporting MLOps Community Meetup, while also participating with a talk. This time we’re at Techspace Kreuzberg in Berlin, sharing the stage with Joanna Stoffregen, founder at Labsbit.ai, and Katja Wittfoth, data scientist and startup advisor. Our Senior ML Engineer Sergey Polezhaev just finished his talk about developing the alignment pipeline. Thanks to everyone for coming! #MLOps #meetups #networking

🌆 Nebius AI ICML afterparty is underway! We’re glad to have some of the world's best ML research experts with us today. It’s finally time to network without checking the ever-so-tight conference schedule and endlessly exploring poster halls. You can even “catch” researchers you’re most interested in. We hope that our party will fill your contact list with new faces relevant to your domain. #afterparty #ICML #networking

The DVC team is excited to release DataChain today! DataChain is an open-source Python library for processing and curating unstructured data at scale. 🤖 AI-Driven Data Curation: Use local ML models, LLM APIs calls to enrich your data. 🚀 GenAI Dataset scale: Handle 10s of millions of files or file snippets. 🐍 Python-friendly: Python objects instead of JSON to represent annotations DataChain enables the parallel processing of multiple data files or samples. It can chain different operations such as filtering, aggregation, and merging datasets. The resulting datasets can be saved, versioned, and extracted as files or converted to a PyTorch data loader. DataChain can serialize Python objects (via Pydantic) to an embedded SQLite database. It efficiently deserializes Python objects or runs vectorized analytical queries in the DB without deserialization. The typical use cases are: ◆ LLM judging LLMs dialogues (see code in image) ◆ Auto-deserializing LLM responses to Pydantic. ◆ Vectorized analytics over Python objects ◆ Annotating cloud images with a local model. ◆ Dataset curation using AI annotations. DataChain excels at optimizing batch operations, such as parallelizing synchronous API calls or leveraging heavy batch processing tasks. We believe that DataChain will serve as a solid foundation for new and upcoming unstructured data-wrangling libraries, as well as custom AI-driven curation solutions. ⭐️ Give DataChain a try for your Generative AI data management, give it a star, and as always, your feedback is welcome! Link to repo to get started in the comments! #Generativeai #AI #computervision #LLM

🔥 ICML has kicked off: come meet us! The [ICML] Int'l Conference on Machine Learning is underway — take a short break from discussing posters and come to our booth 202. Lots of ideas around require resilient infrastructure, that’s why we are here. Once again, here are our team members you can meet: - Boris Yangel, Head of NLP - Sergey Polezhaev, ML Engineer - Levon Sarkisian, Cloud Solutions Architect Team Leader - Aleksandr Patrushev, Senior Product Manager on ML/AI - Simone Lonchiar, Sales Development Representative - Anna Peshekhonova, Head of Growth Marketing - Alina Vasilchenkova, ML Community & Events Manager #ICML #networking #research #conferences

🇦🇹 Nebius AI at ICML: whom to meet and where to find us One of the most anticipated events in our field, the [ICML] Int'l Conference on Machine Learning, will begin on Sunday, July 21. We, of course, couldn’t miss it. Here are the members of our team who will be at ICML in Vienna: - Boris Yangel, Head of NLP - Sergey Polezhaev, ML Engineer - Levon Sarkisian, Cloud Solutions Architect Team Leader - Aleksandr Patrushev, Senior Product Manager on ML/AI - Simone Lonchiar, Sales Development Representative - Anna Peshekhonova, Head of Growth Marketing - Alina Vasilchenkova, ML Community & Events Manager Let’s meet and discuss your interests! Also, be sure to come say hi at our booth 202. We are in for a very productive conference. Next week, we will tell you more about our participation. #ICML #research #MLconferences #papers

⭐️ Introducing Managed Service for Apache Spark Request access if you’d like to process large-scale datasets using Apache Spark in the Nebius infrastructure: https://lnkd.in/d77YvGi3. Currently, the service is provided free of charge and is at the Preview stage. Here’s what we offer as part of it: - Low upkeep Focus on building queries, not infrastructure. We maintain and optimize Spark for you, so you can concentrate on your data processing tasks. - Big data processing Effortlessly handle large-scale data jobs. Easily manage jobs for calculations on large amounts of data during your dataset preparation. - Easy scaling Scale in seconds. Add new Spark clusters or increase their capacity quickly, with configurable resource usage limits to match your needs. - Serverless solution Resources are spent flexibly only on what you need. Control your consumption, which includes running jobs, active sessions, and configured History Server. - Diverse types of access Interact with Spark from the environment where you are most comfortable. The service supports various interfaces, from CLI and UI to IDE and Jupyter Notebooks. Learn about use cases where Spark is essential and who controls what in a managed model: https://lnkd.in/dkRXNa4s #Spark #datapreparation #dataprocessing #datasets

Today is #AIAppreciationDay. Our marketing team wants to thank AI tools and their creators for the AI magic that amplifies our productivity. Thanks a lot, dear Recraft, Grammarly, Runway, ChatGPT, Adobe and Perplexity! A special thank-you goes to Recraft for illustrating our postcards 😊.

Hardcore CUDA Hackathon: the winners are in! 🏆🏆🏆 That's a wrap for the hackathon at AGI House in San Francisco, which we sponsored with our H100 GPUs! 43 participants had been using Nebius infrastructure today. David, Evan, another Evan and Kevin are the winners with their very interesting steriOMG project for Apple Vision Pro. Our congrats go to: David Heineman — github.com/davidheineman Evan Rusmisel — github.com/enva2712 Evan Pierce — github.com/mrthinger Kevin Tran — github.com/hadondish Huge thanks to Ash Vardanian, Jeremy Nixon, Rohan Pandey and Kyle Morris for organizing! #winners #hackathon #CUDA #AGIHouse

Meet our own Idan Belisha, a Cloud Solution Architect, explaining to the participants of the CUDA hackathon how to start using H100s. We take pride in our architect team, and it’s great to have Idan with us here in the Bay Area. #CSA #GPUcloud #architects #hackthons