AI Workload Storage:
Optimized for Generative AI

Scalable storage tailored to build and run generative AI on Kobayashi AI Cloud.

Pricing

AI Storage Features

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High-Speed Dataset Streaming

Feed datasets to your GPU cluster at maximum speed — cutting training cycles and enabling low-latency model inference.

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Rapid Checkpointing

Maximize AI infrastructure goodput with high-speed shared storage: accelerate checkpoint read/write during multi-host training.

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Multi-Modality Ready Storage

Store unlimited unstructured data (text, video, etc.) to streamline multi-modal AI training workflows.

Kobayashi Object Storage

Fully S3-compatible object storage for:

  • Storing static data
  • Serving external consumers
  • High-performance data streaming for MLOps workflows

Seamlessly migrate data across storage classes (within the same service) to align with your data strategy.

Standard class

  • Capacity-optimized buckets
  • Ideal for large unstructured data volumes
  • Cost-efficient for static data
  • Unlimited scalability

Enhanced class

  • Performance-optimized buckets
  • Perfect for GPU data streaming & checkpointing
  • Up to 2 GiB/s write throughput per GPU*
  • Unlimited scalability

Kobayashi Shared Filesystem

A high-speed shared filesystem built exclusively for AI workloads — delivering scalable performance for parallel AI compute and unlimited capacity scalability. It’s the go-to choice for training & inference workflows, combining cost efficiency, ease of use, and a robust feature set.

  • All-flash NVMe high-performance tier
  • 500+ GB/s aggregate read throughput**
  • Native integration with the Kobayashi Cloud Platform

Shared Filesystem

All-flash storage node
All-flash storage node
All-flash storage node
All-flash storage node
Performance & capacity scaling

Block Network Storage: VM Boot & Workload Volumes

Block network volumes built for booting and running virtual machines. Choose from 3 tiered options — tailored to your performance, reliability, and cost requirements:

  • 3x Mirrored Block Volumes
    (max reliability for critical workloads)
  • Erasure-Coded Block Volumes
    (balanced performance & cost efficiency)
  • Non-Replicated Block Volumes
    (cost-optimized for non-critical use cases)
Block Network Storage

* Performance varies based on bucket data structure, write concurrency, and upload process configuration.

** Burst performance measured in a 254-GPU/254-CPU host cluster (during real customer multi-modal training workloads).