Blog

We recently reduced the prices of NVIDIA H100, invited everyone interested to reserve H200, launched a public preview of Managed Service for MLflow and released a new talk about deploying generative AI models in production.

MLflow is a renowned industry tool that streamlines workflows in the model development cycle. We made MLflow more accessible to a broad audience of ML enthusiasts by providing it as a managed solution.

In this post, we’re comparing open-source and proprietary software, with a detailed focus on definitions, differences, key advantages and business models.

By uncovering surprising links between seemingly unrelated LLM architectures, a way might be paved for effective idea exchange and boosting efficiency.

Drawing from Nebius’ and our clients’ extensive experience, this guide and research aims to help engineers choose the most fitting storage solutions for deep learning.

Machine learning experiments help you discover the most optimum model version for your specific use case. Read this article to learn about different types of experiments and what you need to watch out for when conducting them.

Mixture of Experts (MoE) has become popular as an efficiency-boosting architectural component for LLMs. In this blog, we’ll explore the steps researchers have taken on the road toward the perfect mixture of experts.

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 guest post about the London Institute’s research based on our infra.

In today’s guest post, Ananyo Bhattacharya, Chief Science Writer at the London Institute for Mathematical Sciences, details projects by researchers at LIMS, all based on Nebius infrastructure. We’re honored to host these under our Research Grant program.

It wouldn’t be possible for us to build a machine-learning platform without advancing in the field ourselves.

An end-to-end guide to understanding few-shot learning and its benefits against traditional supervised learning.

What is an epoch in machine learning? Learn how epochs, batch size, stochastic descent gradient and iterations influence neural networks in deep learning.