DynamicXcelerator Datasheet
Virtual disaggregation and GPU server slicing for efficient AI/ML delivery
DynamicXcelerator
DynamicXcelerator is an advanced server software stack that enables virtual disaggregation for GPU servers. It combines a server software operating system with an isolated resource partitioning environment and delivers automated deployment through CoreSpan Composer.
Key Features
GPU Isolation
Secure, isolated GPU workloads
Composable Resource Pooling
Resource Configurability
Flexible Resource Groups
Combine GPUs across servers
Cost Efficiency
Higher utilization, lower cost
Use Cases
Enterprise AI Teams
Deliver dedicated vPOD GPU pools to internal teams—so traders, analysts, and ML engineers run securely without resource contention.
GPU Cloud Providers
Offer isolated GPU capacity with flexible allocation—improving density, simplifying operations, and supporting a wider range of customer workloads.
AI as a Service
Package GPUs, OS, and the user’s LLM into an isolated vPOD—delivered like a personal bare-metal GPU server experience.
Maximize GPU Utilization
Right-size GPU resources per workload and redeploy the remainder into new vPODs—turning stranded capacity into usable compute.
Technical Specifications
Benefits
Enhance operational efficiency, security, and flexibility with the FIC 2500. It simplifies data center management, reduces complexity, and optimizes resource utilization, leading to significant OPEX savings and a better total cost of ownership.
User Benefits
Enhance operational efficiency, security, and flexibility with the FIC 2500. It simplifies data center management, reduces complexity, and optimizes resource utilization, leading to significant OPEX savings and a better total cost of ownership.
DynamicXcelerator Use Case Diagram
For More Details
Access more documentation by downloading DynamicXcelerator's datasheet.
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