🗓️ Nebius AI in July: what’s new? In July, we introduced our LLM R&D team and shared more of the team’s experience. We also launched a GPU auction and published diverse materials, including a guest post about the London Institute’s research based on our infra. There were other

Last week, we served Llama 405B so people could test their ability to jailbreak the model. Let me tell you about our experience serving the largest LLM out there. ✅ we secured an 8xH100 node from Nebius AI with enough RAM and fast SSD storage. We actually pre-downloaded the

🔬 How large models can abstract rules: a research by LIMS How well can LLMs abstract problem-solving rules? A #research by the London Institute for Mathematical Sciences, conducted using our infrastructure, conquers the weakness of each modern #LLM: eu1.hubs.ly/H0bG14D0

🎰 Today and tomorrow, we’re at the famous MGM Grand in Vegas, the home of one the Ai4 - Artificial Intelligence Conferences, joining more than 5K attendees! If you’re one of them, get in touch with our team to discuss your bottlenecks in building #AI #training and/or #inference workloads:

🧪 #ML experiments help you discover the most optimum model version for your specific use case. Read this article on our blog to learn about different types of #experiments and what you need to watch out for when conducting them: eu1.hubs.ly/H0bJJ0t0

🔥 Choosing #storage for #deeplearning: a comprehensive guide Drawing from Nebius’ and our clients’ extensive experience, today’s guide by our own Igor Ofitserov aims to help engineers choose the most fitting storage solutions for deep learning: eu1.hubs.ly/H0bL8jr0

📣 Several weeks ago, our Product Director Narek Tatevosyan gave a talk at the #TheAISummit London. He shared an insider's perspective on the key steps, essential tools and challenges involved in training #genAI model from scratch. Watch the talk here: youtu.be/mBjPPrfjYWg?si…

🎩 Optimizing inference with math: TheStage AI and its framework nebius.ai/customer-stori… The inference market has grown so significantly that inefficiencies between revenue and inference costs have emerged. TheStage AI’s solution, which uses our infrastructure, is designed to

🔀 Recent research has exposed deep connections between different architectural options: transformers, #RNNs, #SSMs and matrix mixers. In the next installment of our AI research series, we’ll mainly follow papers like “Transformers are RNNs” and Mamba 2, getting elbows deep in

🔥 This fall, we’re adding @NVIDIA H200 SXM GPUs Currently, #H200 is the most powerful #GPU for your AI. Its memory and data access speed ensure up to 2x the LLM inference performance over H100. Prices start from $2.50 GPU/h. Reserve your cluster today: eu1.hubs.ly/H0bZz3Z0

🎩 Levon Sarkisyan, our Solution Architect Team Lead, wrote a piece reflecting on the technical challenges his team (and many others at Nebius) have faced: medium.com/p/8592cde10d22. Instead of making a flashy announcement, we encourage you to simply check out Levon’s short article

🔥 Price drop: @NVIDIA H100 One #GPU host with H100 is now priced at $3.50 per hour when paying as you go, down from the previous $4.85. The prices for hosts reserved for 3, 6 or 12 months are also down. Check out our pricing for details: eu1.hubs.ly/H0c2XHJ0

🔄 Announcing Managed Service for MLflow in public preview #MLflow is a renowned industry tool that streamlines #workflows in the model dev cycle. We made MLflow more accessible to a broad audience of ML enthusiasts by providing it as a #managed solution: eu1.hubs.ly/H0c4sk30

🗓️ Nebius monthly digest, August 2024 We recently reduced the prices of @NVIDIA #H100, invited everyone interested to reserve #H200, launched a public preview of Managed #MLflow and released a new talk about deploying generative AI models in production: eu1.hubs.ly/H0c8MZw0