Fastest AI-Ready Performance, at scale
Quobyte’s clean single-layer architecture delivers massive, linearly scalable performance for AI with lower power consumption – from four servers to entire data centers.
Architected for AI™ means performance that scales linearly
AI pipelines demand storage that keeps GPUs fully utilized at every stage. Quobyte’s hyperscaler-inspired architecture eliminates bottlenecks like NFS gateways, backend networks, or disk shelves. By simply adding servers, performance scales linearly to thousands of nodes and exabytes with throughput in the TB/s and beyond. The result is a storage platform that can keep up with the rapid growth of successful AI projects, ensuring GPUs are always running at full efficiency.
Proven Performance: MLPerf® Storage Benchmark
In the MLPerf® Storage 3D U-Net benchmark (unverified), Quobyte outperformed all competitors. More importantly, it we did so with less hardware and lower power consumption. That means faster results, lower costs, and maximum GPU utilization at any scale.
More Performance for more GPUs, Instantly
Successful AI projects have one thing in common: when they take off, the demand for more GPUs, more performance, and more storage grows rapidly. Quobyte lets you deliver that performance instantly by adding servers in minutes, seamlessly and without downtime. No re-architecture and no need to plan ahead or guess what your system might look like in 12 months – with Quobyte you can instantly adapt to changing demand.
Maximum Performance for all AI Pipeline Stages
Alternative: Every stage of the pipeline needs fast, reliable access to data. Quobyte delivers high performance to Linux, Windows, and macOS through native drivers, and supports S3, NFS, HDFS, and MPI-IO. From ingest and preprocessing to training, fine-tuning, and inference, Quobyte ensures all workloads run with consistent high performance.
Maximize Performance with RDMA
Quobyte can automatically take advantage of RDMA over Ethernet/RoCE, InfiniBand, and OmniPath, where available. Clusters can run in a mixed mode using both TCP and RDMA: RDMA for low latency and lower CPU utilization, TCP for broad availability and data sharing – giving you performance and efficiency without trade-offs.
Resources
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Zoox Scales AI Storage to 30PB+
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Quobyte Powers Siemens Healthineers' AI Factory
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Quobyte Sets the Pace in MLPerf® 3D U-Net
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