- Activate the NVMe in the GPU servers that you already own by turning this capacity into high-performance shared storage that is protected and usable by all GPU nodes.
- Simple to deploy in hours, no new storage required: No proprietary client or agent software to install, use the existing storage and networking infrastructure you already have
- Avoid months of GPU depreciation expense by putting your GPUs to work in hours.
- Maximize GPU utilization, on-prem and in-cloud: Feed data to GPUs at local NVMe speed, avoiding network bottlenecks and using fast inter-node networks on-prem and in-cloud
- Accelerate AI training, tuning, and inferencing workloads by delivering data up to 10x faster to GPUs.
- Reduce storage and networking costs by offsetting and reducing the need for external storage.
- Reduce power consumption and rack space by reducing the associated power and rack space those storage systems and switches would otherwise consume.
- Enable hybrid-cloud agility using automated data orchestration within a global namespace that spans data centers and cloud regions, including the use of Tier 0 in all four major cloud platforms
- Eliminate manual data management and reduce operational complexity by automating data protection across the GPU cluster
- Extend from Tier 0 to Tier 1, Tier 2, and cloud storage in a single global namespace for a simple, composable, and open architecture
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