DynamicXcelerator

What is a vPOD?

A vPOD (Virtual Partition of Data) is a flexible resource grouping that combines CPU slices, memory, operating systems, GPUs, and NICs with your AI/ML models. These vPODs can span across servers and network fabrics—Ethernet, InfiniBand, or Drut’s photonic fabric. By integrating AI/ML workbench software, DynamicXcelerator automates configurations, making deployment simple and seamless.

Who Benefits from DynamicXcelerator?

Enterprise Customers

DynamicXcelerator enables enterprises to optimize GPU utilization cost-effectively. From financial trading to data science, users can deploy isolated vPODs with guaranteed resources for their AI/ML workloads.

Cloud Providers

Cloud providers can offer GPU-as-a-Service by leveraging DynamicXcelerator's precise GPU isolation and allocation, improving efficiency and resource management.

AI as a Service

DynamicXcelerator allows enterprises and cloud service providers to create tailored vPODs, load AI models, and deliver high-performance resources to internal or external users as if they were personal, bare-metal servers.

Key Features of DynamicXcelerator

Complete GPU Server and Interconnect Integration

Combine resources into vPODs across servers, fabrics (InfiniBand, Ethernet, or Photonic), and GPU generations.

Efficient Resource Utilization

Isolate GPUs for specific workloads. For example, an 8-GPU server can host three vPODs: one with 5 GPUs, one with 2, and another with 1 GPU.

Dedicated Performance

DynamicXcelerator ensures isolated, high-performance peripherals using industry-standard server technology.

Cost-Effective Flexibility

Works with standard servers and RDMA-capable NICs, reducing hardware costs while ensuring efficient GPU utilization—even with mixed-generation systems.

Why Choose DynamicXcelerator?

Dynamic Scalability: Allocate additional GPUs to vPODs based on evolving workloads.
Maximized GPU Utilization: Optimize every resource for peak performance.
Affordable AI Deployment: Reduce costs by leveraging off-the-shelf hardware.

System Requirements

DynamicXcelerator integrates seamlessly with your existing infrastructure:

Operating system and hypervisor deployment on servers.
Two additional appliances (~80 cores each) for management software, fabric manager, and AI/ML workbench.
Backend GPU network compatibility: InfiniBand, RoCE, or Drut’s photonic fabric.

Explore DynamicXcelerator

DynamicXcelerator empowers businesses to harness AI/ML innovations, boosting efficiency and driving competitive advantages. Have questions?