AI Infrastructure Management Built for GPUaaS and NeoCloud environments
From Design and Deployment to Observability and Management
Unlock the full potential of your AI infrastructure with dynamic deployment of composed platforms.
Cruz Open Compute Orchestrator (COCO) by Dorado revolutionizes AI infrastructure management, setting a new standard for efficiency, scalability, and ROI. Designed to enable organizations to deploy and operate GPU-as-a-Service (GPUaaS) platforms and NeoCloud environments, COCO leverages open compute standards and UEC/UAlink readiness to deliver a simple framework to design and deploy Compute Clusters and Workloads. COCO breaks down operational silos between NetOps, CloudOps, and AIOps and integrates AI Tenancy with Cruz well established multi-tenant features to best support business needs. With real-time visibility into job status and resource utilization, seamless integration with leading job schedulers like Slurm and Kubernetes, and AI-powered recommendations for optimizing performance, COCO maximizes GPU utilization rates, empowering organizations to unlock the full potential of their AI investments.
AI Infrastructure Orchestration
Comprehensive platform for managing AI infrastructure from bare metal to orchestrating AI Compute Clusters, Tenancy and Interconnect — initial orchestration, deployment to ongoing management operations and observability.
Purpose-built for GPUaaS and NeoCloud environments.
Deployment
Rapid infrastructure provisioning and configuration — deploy complete AI infrastructure in hours
Management & Operations
Automated management throughout infrastructure lifetime
Observability
Continuous monitoring, scaling, and optimization
GPUaaS
Transform GPU infrastructure into a shared service platform with AI multi-tenant support. Enable multiple teams and tenants to efficiently use GPU resources while monitoring isolution, security, and performance
Maximize ROI.
Resource Isolation
Secure tenant separation with namespace isolation, network policies, and quota management
Usage Metering
Detailed tracking of GPU hours, memory usage, and compute cycles per tenant
Fair Scheduling
Intelligent workload distribution to maximize utilization and minimize idol time
Scale Up and Scale Out Fabrics
Built on open standards with support for next-generation AI networking technologies
Empowers limitless growth.
UEC Ready/Aware
Universal Ethernet Consortium standards support for high-performance networking. 400G/800G Ethernet with ultra-low latency and lossless RDMA fabric.
UAELink Ready/Aware
Ultra Accelerator Link technology for optimized GPU-to-GPU communication. Open standard supporting multi-vendor GPU ecosystems.
Automated lifecycle management Day 0 to Day N
Design, deploy, manage AI Infrastructure
Rapidly orchestrate and deploy compute clusters
Multi-tenant GPUaaS with secure isolation
GPU partitioning support to leverage multi-tenancy
Intelligent job scheduling via Slurm and Run:AI integrations
UEC & UAILink-ready network fabrics
Reduce Complexity
Open and scalable tool supporting management of baremetal and virtualized Compute, Networking, and Storage from Day 0 to Day N
Rapid Deployment
Day 0 to production in hours with automated provisioning, configuration, and valiation of compute infrastructure
Reduce OPEX
Hyperscale efficiency with Enterprise-grade trust. Proactive monitoring and intelligent resource allocation
AI-Optimized Performance
Purpose-built for GPU workloads with optimized networking, storage, and compute configurations for training and inference
Maximize ROI
GPUaaS multi-tenacy and intelligent scheduling achieves improved utlization, maximixing return on GPU infrastructure investment
