SuperAPI AI Directory

nebius

nebius

Open website

About this tool

Nebius is a cloud platform built specifically for AI, officially described as engineered "from silicon to API," positioned as a purpose-built AI cloud for AI, for users to build and accelerate scaling.

In terms of use: the platform covers AI workloads from training to inference, and emphasizes "On your terms." Its claimed value lies in realizing AI value faster.

Main capabilities (according to official text):

  • Fast start: from zero to cluster in just minutes, with built-in repeatability and self-service access.
  • Hardware and networking: custom hardware, using non-virtualized GPUs and InfiniBand, officially stated to have industry-leading MTBF/MTTR.
  • Developer-oriented: built from the ground up for AI developers, with built-in MLOps tools, serverless, and managed inference.
  • Elasticity and consumption models: elastic from small experiments to global-scale environments, offering flexible consumption options.

How to use: the official text does not provide specific registration, console operation, or API call steps; the text mentions capabilities such as from zero to cluster, self-service access, built-in MLOps tools, serverless, and managed inference, but the specific operational process is not yet provided.

Applicable scenarios and customer cases (according to official text):

  • Sword Health: used to scale AI physical and mental health support; its Dawn product requires dedicated infrastructure, healthcare-domain governance, clinical expertise, and large amounts of specialized data, requiring clinical-grade inference capability as well as system stability, reliability, and consistency.
  • RoboForce: building deployable Robo-Labor in the era of physical AI, for dirty, dangerous, and repetitive industrial work; running Physical AI workflows on Nebius AI Cloud, using NVIDIA Blackwell infrastructure, scalable storage, and expert engineering support; officially stated to reduce AI setup pipeline time by 70%, and shorten model iteration cycles from months to days.
  • Recraft: training generative AI foundation models, evaluating Nebius in terms of flexibility, fast support, scalability(GPU availability), storage speed, control, and reliability.
  • Photoroom: using Slurm for large-scale training, officially stated to obtain reliable infrastructure to seamlessly scale training and save substantial engineering time.
  • Revolut: scaling AI inference for safer banking, to support user growth from 30 million to over 70 million, rebuilding core workflows around AI on Nebius AI Cloud, running on 200+ NVIDIA H100 GPUs and Nebius Token Factory, supporting FinCrime agents, chat orchestration, and PRAGMA (its event-based transaction model); officially stated to process up to 1.2 million support tickets per month on Nebius Token Factory.

Ecosystem and partners: the official text states that Nebius is trusted by the entire AI ecosystem, and upgraded its preferred status in the NVIDIA Partner Network to Reference Platform Cloud Partner, a title designated for selected partners that build large clusters in coordination with NVIDIA and follow tested and optimized reference architectures.

Limitations and other information: the official text does not provide information such as fees, pricing, platform support scope, specific available regions, SLA, or usage restrictions; this content is not yet provided.