Nebius

It was great having NVIDIA’s CEO Jensen Huang at our booth here at NVIDIA GTC Paris. 🔥 #GTCParis

NVIDIA HGX B200 instances are now publicly available as self-service AI clusters on Nebius AI Cloud. 🔥 This means anyone can access NVIDIA Blackwell — the latest generation of NVIDIA’s accelerated computing platform — with just a few clicks and a credit card. Learn more and access NVIDIA HGX B200 systems today through our web console or API: https://lnkd.in/dJnP_6-R #Blackwell #GPUs #B200 #GPUclusters #AIclusters #selfservice

Early next week, you can find us at the legendary MGM Grand Hotel & Casino Las Vegas for Ai4 - Artificial Intelligence Conferences. It’ll be the seventh annual Ai4, with over 8,000 attendees expected from more than 85 countries. Visit our booth 460 on Tuesday and Wednesday to learn more about Nebius, get flexible GPU compute plus an MLOps stack tailored to your needs. Also, don’t miss the panel “The AI Beginner’s Playbook: Essential Insights for Getting Started” featuring: - Shane Zide, our own VP of Sales, Commercial, Americas - Ron Whitworth, Chief Privacy Officer at Truist - Srini Gowda, Vice President, Emerging Tech & Autonomous Vehicles at International - Paul Jeyasingh, Associate Vice President, AI & Analytics at Tavant - Jason Saltzman, Head of Insights at CB Insights Be sure to come to Room 163 (Level 1) at 3:35 PM on Monday, August 11, to join the session. #AIconferences #Ai4 #Ai42025 #Ai4conference

GPT-5 is awesome, but want to adapt it to your own data? SkyPilot recipe for 𝗱𝗶𝘀𝘁𝗿𝗶𝗯𝘂𝘁𝗲𝗱 𝗳𝗶𝗻𝗲𝘁𝘂𝗻𝗶𝗻𝗴 𝗼𝗳 OpenAI 𝗴𝗽𝘁-𝗼𝘀𝘀 with Nebius infiniband using Hugging Face Accelerate: sky launch --num-nodes 4 gpt-oss-120b-sft.yaml

Today we reported our Q2 financial results and raised our guidance for the rest of 2025. Here are the headlines: 📈 Annualized run-rate revenue (ARR) guidance increased to $900 million to $1.1 billion for the end of 2025 💵 Revenue for Q2 of $105.1 million, up 625% year-on-year and 106% quarter-on-quarter 🎉 Core business achieves positive Adjusted EBITDA ahead of plan ⚡️ In the process of securing more than 1 GW of power by the end of 2026 As Arkady Volozh writes in his quarterly letter to shareholders: “Outside of a handful of big tech companies, only a few newcomers have both the technological expertise and the multi-billion-dollar scale to play in this field. Nebius is one of them.” 🔗 Read more on our website: https://lnkd.in/d6C7yFaq

Our July’s LinkedIn digest describes how our customers like Stanford University and Shopify use flexible compute capacity and the steps we are taking to boost performance. Nebius’ first anniversary also took place in July, marked by Nasdaq in Times Square, and there was news from across the ocean as well. #AInewsletter #AIdigest #AInews #AIcasestudy

Launched yesterday, available on Nebius AI Studio today: GPT-OSS-120B and GPT-OSS-20B, OpenAI’s newest open-weight models: https://lnkd.in/ejCy6jSp 🚀 Also live: GLM-4.5 & GLM-4.5 Air, hybrid models with top-tier agent performance and an MIT license, trending on Hugging Face. As always, Nebius AI Studio provides: - Instant access, no GPU setup - Playground + API + batch - Enterprise-grade, scalable inference #openweight #openmodels #opensource #agenticAI

CRISPR-GPT is AI gene-editing expert designed at Stanford University. Nebius’ flexible infrastructure that helped build CRISPR-GPT allowed to transition seamlessly from prototyping to large-scale model training. 🔥 Read the full story: https://lnkd.in/eZCZ-s8K Recognized last week in Nature Portfolio Biomedical Engineering, CRISPR-GPT is also the result of rapid iteration on model architectures and fine-tuning approaches, made possible by using Nebius AI Cloud. It is extremely exciting for us to collaborate with Dr. Le Cong and co-authors of this work: Yuanhao Qu at Stanford, Le Cong Group, and Kaixuan Huang at Princeton University, Mengdi Wang Group. #CRISPR #geneediting #biotech #AIcasestudy

SkyPilot AI infra meetup with Nebius in San Francisco: let’s meet on Aug 14! Request to join: lu.ma/q1rfsjxk We have a packed agenda starting at 5PM: - Running AI on any Infra with SkyPilot — Zongheng Yang, Co-Creator of SkyPilot - How Phonic Runs Voice AI on Multicloud — Nikhil Murthy, Co-Founder of Phonic - Zero Lock-In: Running AI Workloads Across Nebius — Our own Abby Struebing, Channel & Alliances, and Brian Lechthaler, Solutions Architect Whether you’re fine-tuning 400B-parameter models, running Ray by Anyscale or vLLM in prod or just multicloud-curious, you’ll leave with copy-pasteable recipes — and a stack of GPU credits — to try it yourself. Perks: - Up to 1,000 GPU-hour credits for the first 50 attendees - Access to event repo with demo scripts, Terraform and SkyPilot YAMLs #SkyPilot #AIinfra #voiceAI #SFstartups

Join us on Aug 14 for a webinar on Managed Soperator, our Slurm-on-Kubernetes solution. Register on our website to attend: https://lnkd.in/eKBX48fB Learn how to provision a Slurm training cluster with NVIDIA GPUs, pre-installed libraries and drivers in just minutes, eliminating the complexity of manual configuration and lengthy setup processes. Our Head of Scheduler Services Eugene Arhipov and Solutions Architect René Schönfelder will cover: - One-click AI training clusters: how to deploy powerful Slurm-based training environments instantly without DevOps expertise or manual configuration headaches. - Cloud-native Slurm architecture: understanding Soperator’s Kubernetes operator technology, shared root filesystem capabilities and proven scalability for multi-GPU training up to thousands GPUs. - Managed service advantages: leveraging integrated monitoring, automated security updates, enterprise-grade cloud platform features and advanced IAM without operational overhead. - Getting started and scaling options: step-by-step guidance on setting up your first cluster, scaling from 32 GPUs to enterprise solutions, and accessing professional support when needed. The webinar is ideal for AI researchers, data scientists, ML developers and technical teams who want to accelerate their training workflows without infrastructure complexity. #Slurm #K8s #managedservice #orchestration