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    OceanStor A800

    The next-gen high-performance distributed file storage for AI.

Overview

  • Overview
  • Features
  • Specifications
  • Resources

OceanStor A800

OceanStor A800 is the next-gen high-performance distributed file storage for Artificial Intelligence (AI), fulfilling the end-to-end (E2E) data processing needs for AI training and inference.

With 24 million input/output operations per second (IOPS) and 500 GB/s bandwidth per controller enclosure, OceanStor A800 handles the requirements of loading training sets with massive small files and the high bandwidth needed for resumption from checkpoints. Indeed, compared to alternative systems, it delivers 8x faster training set loading and 4x faster training resumption from checkpoints.

Intrinsic vector knowledge repository reduces AI hallucinations and ensures inference response in milliseconds. Long-term memory storage capabilities eliminate repeated computing, significantly reducing the pressure on inference computing power. This reduces the Time To First Token (TTFT) by 78%, as well as increasing the inference throughput of a single xPU by 60%.

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Ultra Performance

• Software-hardware collaboration: Based on innovative data-control plane separation architecture, backplane-free orthogonal architecture, and the DataTurbo file acceleration engine, it achieves 24 million IOPS and 500 GB/s bandwidth per controller enclosure, delivering 8x better performance than the leading alternative.
• In the 2024 MLPERF™ AI Benchmarks, OceanStor A800 ranked first in overall performance, performance per node, and performance per rack unit.

Open Ecosystem

Ultra-Large Cluster

• Exabyte-level scale-out capability is supported, with flexible expansion to 512 controllers.
• Near-storage computing and diverse scale-up capabilities allow for on-demand addition of different function cards.
• Providing 100 million-level IOPS and hundreds of TB/s bandwidth, OceanStor A800 is the only storage system that supports a cluster with 100,000 xPUs. (Supporting the full connection within a 100,000-xPU cluster.)

Advanced Technologies

Powerful Inference

• Long-term memory storage with multi-level Key-Value (KV) cache improves the throughput of a single xPU by 67%.
• A knowledge repository containing tens of billions of thousand-dimensional vectors enables ms-level retrieval during inference and real-time knowledge updates.

Specifications

Model OceanStor A800
Enclosure form factor Dedicated hardware, 8 U/2 nodes
CPUs per node 4 CPUs
Node expansion Scale out to 512 nodes in fully symmetric mode
Max. number of SSDs per enclosure 64 SSDs (controller enclosure with integrated SSDs)
Fans per node 10
Memory per node 1,024 GB
Network types 25/100/200 Gbit/s ETH, 200 Gbit/s IB

Resources

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