Unlock the Power of AI/ML with Virtual Disaggregation

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.

Complete GPU Server and Interconnect Integration

• Combine resources into vPODs across servers, photonic fabric, 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.

One core capability of the DynamicXcelerator is virtual Performance Optimized Datacenters (vPODs), which create dynamic resource grouping across multiple physical compute systems, enabling organizations to overcome the inherent constraints of single-node architectures.

vPODs deliver unprecedented flexibility by:

• Transcending Physical Boundaries: Creating logical resource pools that extend beyond individual hardware limitations.
• Optimizing Resource Allocation: Dynamically distributing workloads across multiple systems for maximum efficiency.
• Enabling Independent Scaling: Adding the resources you need, when you need them, without overprovisioning.

With vPODs, organizations gain the ability to:

• Scale resources independently based on actual needs.
• Extend product lifecycles of expensive components.
• Implement pay-as-you-grow strategies for cost optimization.
• Maintain fault isolation between pods for enhanced reliability.
• Deploy customized configurations with domain-specific accelerators.

• 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.

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