Orchestrate AI Workloads

Deploy, manage, and scale AI-driven applications effortlessly with unified automation, powerful monitoring, and seamless multi-cloud orchestration capabilities.

Agnostic Platform

Supporting Hypervisors and Containers

Deploy under a click

Click. MIG.

Optimize GPU resources by allocating GPUs per client or workload, and further splitting them into smaller workloads to improve GPU utilization and compute resource allocation.

Allocate physical GPUs per client
Share GPU and Compute resources within secure environments
Maximize ROI per node
Allocate resources based on limits
Orchestrated under one platform

Dashboard interface showing cash flow management

Features

Efficient GPU Computing

Automate MIG Deployments

Orchestrate instance group provisioning from code to cloud enabling seamless scaling and deployment governance across all environments.

Secure GPU Environments

Spin up protected environments leveraging shared CPU and GPU power efficiently while maintaining resource isolation and cost savings.

On-Prem or Cloud

Deploy and manage workloads seamlessly on your own infrastructure or in the cloud with full control and scalability.

User Specific Resources

Assign resources dynamically to individual users, delivering consistent performance and controlled access to GPU and compute resources

Container Deployments

Automate container provisioning and scaling within allocated compute and GPU resources for faster, reliable workloads.

vGPU Orchestration Future development

Dynamically assign and manage vGPU resources by pooling GPU resources across users and workloads for high efficiency and control.