Built with Nebius
We regularly share our clients' experiences on how they build workloads for data processing, model training, fine-tuning and inference with the help of our architects. We also share links to open-source models trained on Nebius.
Simulacra AI
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.
vLLM
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.
Quantori
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
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.
Positronic Robotics
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.
Chatfuel
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.
London Institute for Mathematical Sciences
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.
Recraft
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.
TheStage AI
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.
Krisp
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.
Dubformer
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.
Unum
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.