Scale-Out Massive Capacity, Reduce Power, and improve Carbon Footprint
24x Volumetric Density (mm3/TB) 7x Higher Capacity 128TB vs 18TB 10X better Seq Performance 200X faster Random Performance ML-based Endurance Enhancement
AI-Based Enterprise DB Analytics Enables GreenplumDB at the Edge
10x Power Reduction 8x Rack Space Reduction Same Resiliency Same Capacity Shared GPU Resources
Real-time Coherent Cache Updates
Data Encryption and Authentication
Content Delivery Traffic Routing
AI/ML Inference – Computer Vision
ML Distributed Training
Encryption & Authentication
HD Video/Image Storage
HD Map Updates
Object Recognition & Tracking
Distributed AI/ML Model Training
Hyperscale data centers execute a wide variety of workloads, many of them parallel in nature. By utilizing intelligent storage for these workloads, hyperscale data centers reduce CapEx, OpEx, power/cooling, and physical footprint.
Content Delivery Networks (CDNs) need to be able to rapidly provide a variety of encrypted and access-controlled content to subscribers. Intelligent storage allows access control and encryption to occur at the point of storage, reducing costs.
With a growing need to store and analyze data at the edge, or newly defined Fog Storage market, a gap in analytical ability is growing. Intelligent storage solutions solve the low power, more efficient compute needs without strain on the edge and fog platforms.
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