Built with Nebius

Jua is building a foundation AI model for weather simulation, creating a real-time digital twin of the Earth. Using Nebius AI Cloud, the team trains large-scale physics-based models to deliver fast, high-resolution forecasts, enabling energy traders to make better decisions in highly volatile, weather-driven markets.

Sword Health built Dawn, a direct-to-consumer AI wellbeing specialist, to scale mental health support beyond clinician-led care. Using Nebius AI Cloud, MindGuard guardrails and the MindEval framework, the team enabled safe, long-form conversations in production.

Revolut rebuilt core operations around AI to scale fast in a regulated environment, using Nebius AI Cloud and Token Factory to power fraud prevention, customer support, and large-scale model training across more than 200 NVIDIA H100 GPUs.

To train its latest model, Recraft collaborated with Nebius and deployed NVIDIA HGX B200, achieving a seamless transition from the NVIDIA Hopper architecture with minimal code changes. Through early access testing and hands-on engineering support, the company validated Blackwell’s capabilities for large-scale workloads.

CRISPR-GPT is an LLM-powered agent system developed by scientists from Stanford, Princeton and Google DeepMind, which automates gene-editing experiments, from CRISPR system selection to decision making when designing gene-editing RNA to data analysis.

Using Nebius’ infrastructure, vLLM — a leading open-source LLM inference framework — is testing and optimizing their inference capabilities in different conditions, enabling high-performance, low-cost model serving in production environments.

Prime Intellect partners with every major cloud provider to supply GPUs, but Nebius is their go-to cloud for flexible on-demand utilization and access to frontier hardware. Their latest PoC with the NVIDIA GB200 NVL72 from Nebius delivered advanced performance out of the box.

With Nebius as a co-engineering collaborator and NVIDIA HGX B200 GPUs as the hardware foundation, Higgsfield AI built a training pipeline that stayed stable under sustained load and supported one of the fastest scale-ups ever seen in the application layer of generative AI.

Compugen’s team trained a unique model for spatial immune features prediction in Nebius, enabling deeper analysis across vast proprietary libraries. This will help uncover previously invisible immune patterns and aid promising solutions to move from code to clinic more efficiently.

SGLang, a pioneering LLM inference framework, teamed up with Nebius AI Cloud to supercharge DeepSeek R1’s performance for real-world use. The SGLang team achieved a 2× boost in throughput and markedly lower latency on one node.

Helical helps pharma and biotech companies reach scientific breakthroughs faster by scaling virtual experimentation. By relying on Nebius’ purpose-built clusters with reliable connectivity and storage integration, Helical closes the gap between foundation models and scientific outcomes.

Boosting biological data processing capabilities is essential to draw breakthrough insights from rapidly growing DNA, RNA, and protein datasets. Powered by Nebius, Unum optimized StringZilla — an open-source, high-speed string processing library.

Slingshot AI is developing a foundation LLM for psychology to address the global need for mental health support. Ash is a chatbot designed to provide long-term support by helping users identify patterns and meet developmental goals. By partnering with Nebius, Slingshot ran Ash’s large-scale AI training, fine-tuning and inference.

Recraft, recently funded in a round led by Khosla Ventures and former GitHub CEO Nat Friedman, is the first generative AI model built for designers. Featuring 20 billion parameters, the model was trained from scratch on Nebius.

The inference market has grown so significantly that inefficiencies between revenue and inference costs have emerged. TheStage AI closes this gap by providing automatic neural network analyzer and optimizer.

Dubformer is a secure AI dubbing and end-to-end localization solution that guarantees broadcast quality in over 70 languages. The company manages two of its most resource-intensive tasks on Nebius: ML itself and the deployment of models.

Krisp’s work with us lies in the field of Accent Localization, an AI-powered real-time voice conversion technology that removes the accent from call center agent speech resulting in US-native speech.

In our field, effective partnerships that harness complementary strengths can drive significant breakthroughs. Such is the case with the collaboration between Nebius and Unum, an AI research lab known for developing compact and efficient AI models.

How well can LLMs abstract problem-solving rules and how to test such ability? A research by the London Institute for Mathematical Sciences, conducted using our infrastructure, helps to understand the causes of LLM imperfections.

Simulacra AI is combining ab initio quantum chemistry with deep learning to build a scalable large wavefunction model (LWM) to generate high-accuracy datasets for drug and material discovery pipelines.

Quantori’s cheminformatics department recently embarked on a research initiative to develop a molecular generation pipeline leveraging stable diffusion and their own recent developments in the area of graph-convolutional networks.

Synthlabs significantly simplified their training infrastructure setup using TractoAI serverless platform. Synthlabs research engineers leveraged TractoAI distributed offline inference capability to accelerate the release of the first open source reasoning dataset.

Converge Bio is pioneering the use of LLMs to analyze single-cell RNA sequencing data. Their work aims to transform how scientists understand disease mechanisms and therapeutic responses.

Researchers from YerevaNN and Yerevan State University present three Nebius-based models, continuously pre-trained on a novel corpus of 110M molecules with computed properties, totaling 40B tokens. A genetic algorithm integrates the models to optimize molecules with promising properties.

Positronic Robotics is a startup that creates AI-based robot control systems. The company trains ML models on Nebius AI Cloud, developing tools that allow robots to handle cleaning tasks more effectively than humans.

TrialHub leverages RAG-optimized LLMs, semantic search and other advanced language modeling techniques to extract quantifiable insights from over 80,000 trusted medical sources. With Nebius’ expert support, TrialHub launched its 250-million vector database in days.

Powered by Nebius and TractoAI infrastructure, SieveStack scales high-precision data generation, a significant advantage for training a multi-layer foundational model stack that yields progressively more nuanced insights into drug interactions with the human body.

Using Nebius AI Studio to leverage a cascade of Llama-405B models along with a custom SDK, leading AI-powered customer engagement automation platform Chatfuel achieved significant efficiency gains with much better response quality and interaction speed for its AI chatbot agents.

xAID is building the ultimate AI assistant for medical imaging. With training cycles lasting over five days on noisy clinical data, xAID relies on Nebius AI Cloud for uninterrupted, high-performance computing at scale and expert MLOps support.

Lynx Analytics bridges industry and tech expertise to deliver AI-powered solutions to enterprises across life sciences, telecom, retail and finance. The team uses Nebius’ elastic AI infra to accelerate delivery across projects and maintain high GPU utilization, keeping performance and costs optimized.