Orchestration of Cloud Infrastructure
with AI Intelligence
with AI Intelligence
Empower private cloud with
Virtualization & Containerization
ensuring
scalability and high performance
Know MoreVirtualization & Containerization
ensuring
scalability and high performance
GoldenRay Cloud Native Platform
Infrastructure Management
Virtualization
Containerization
AIOps
Application
Software
Streamline the entire
lifecycle of cloud management
lifecycle of cloud management
Multiple operating system support
Empowers enterprises to build, scale, and manage AI workloads on private or hybrid cloud infrastructure for maximum efficiency, security, and agility.
Hybrid Infrastructure
Enables seamless AI workload orchestration across hybrid infrastructure, delivering unified control, optimized performance, and enterprise-grade scalability.
Multi-tenant support
Delivers secure, scalable multi-tenant support, enabling isolated, customizable AI environments for diverse teams across hybrid infrastructure.
Dynamic Resource Management
Intelligently allocate and reallocate compute resources on demand, ensuring optimal performance, workload efficiency, and cost-effectiveness across heterogeneous hardware environments.
High-Performance Networking
Enable ultra-low latency and high-throughput communication across distributed nodes using a high-speed fabric—ideal for latency-sensitive AI and HPC workloads.
Advanced Storage Orchestration
Seamlessly manage persistent volumes with support for multiple CSI drivers, delivering scalable, resilient storage provisioning across diverse workloads and environments.
Intelligent and Dynamic AI Cluster
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Features
Features
Storage orchestration via multiple CSI
Enables seamless and scalable storage management by integrating multiple CSI drivers, allowing dynamic provisioning and high-performance access to persistent storage across hybrid infrastructure.
Software defined object & block storage
Provides software-defined object and block storage, delivering flexible, scalable, and high-performance storage solutions that adapt to the needs of AI workloads.
Observability for AI & LLM Workloads
Delivers advanced observability for AI and LLM workloads, offering comprehensive monitoring, tracing, and analytics with broad support for diverse model architectures and frameworks.
Network Isolation for VMs & Containers
Ensure secure and efficient traffic segmentation by isolating virtual machines and containerized workloads at the network level, enabling zero-trust architecture and minimizing cross-tenant interference.
Efficient GPU Sharing with vGPU/MIG
Maximize GPU utilization by partitioning GPUs using MIG or vGPU technology, supporting advanced scheduling methods like time-slicing and fractional allocation to run multiple workloads concurrently on a single physical GPU.
Role-Based Access for All Interfaces
Implement fine-grained access control — web dashboard, API, and command-line tools — by assigning roles and permissions based on user identity, ensuring secure multi-user operations.