Storage for
AI workloads
Scalable, high-performance storage solutions for building and running generative AI on Neutrino AI Cloud (Powered by Nebius) — from dataset streaming to model checkpointing.
Neutrino AI Storage
Purpose-engineered storage primitives that keep your GPUs fed, your checkpoints safe, and your pipelines moving at maximum speed.
High-speed dataset streaming
Feed datasets to your GPU cluster at maximum speed, ensuring faster training cycles and low-latency model inference. No bottlenecks. No idle GPUs.
Rapid checkpoints
Achieve the highest AI infrastructure goodput by employing high-speed shared storage for writing and reading checkpoints during multi-host distributed training.
Ready for multi-modality
Store any volume of unstructured data — from text corpora to raw video — to streamline operations for multi-modal AI training at petabyte scale.
Neutrino AI Object Storage
Fully S3-compatible object storage capable of storing static data, serving it to external consumers, and providing high-performance data streaming for MLOps scenarios.
Capacity-focused storage
- Capacity-focused object storage buckets
- Great for storing large volumes of unstructured data
Performance-focused storage
- Performance-focused object storage buckets
- Great for streaming data to GPU and checkpointing
* Depends on data structure, write concurrency, and upload process configuration.
Throughput Comparison
Neutrino AI Enhanced Object Storage delivers up to 5× the throughput of typical S3-compatible storage — keeping your GPUs saturated during training.
Getting started
Contact us to request large-scale GPU clusters, or sign up to the Neutrino AI Cloud (Powered by Nebius) console to deploy GPUs immediately.
Shared Filesystem & Block Storage
Choose the right tier for every layer of your AI infrastructure — from high-speed parallel filesystems to resilient boot volumes.
Neutrino AI Shared Filesystem
A high-speed shared filesystem designed for AI workloads — delivering scalable performance for parallel computation. The primary choice for training and inference at any scale.
Block Network Storage
Block network volumes for booting and running virtual machines. Three volume options that differ by performance, reliability, and pricing — match exactly to your workload needs.
** Burst performance from a cluster with 254 GPU and 254 CPU hosts, measured during multi-modal training by a real customer.