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Orchestration of Cloud Infrastructure
with AI Intelligence
Empower private cloud with
Virtualization & Containerization
ensuring
scalability and high performance
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GoldenRay Cloud Native Platform

Infrastructure Management

Virtualization

Containerization

Infrastructure - Bare Metal Management

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AIOps

Application

Software

Streamline the entire
lifecycle of cloud management
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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.
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Hybrid Infrastructure
Enables seamless AI workload orchestration across hybrid infrastructure, delivering unified control, optimized performance, and enterprise-grade scalability.
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Multi-tenant support
Delivers secure, scalable multi-tenant support, enabling isolated, customizable AI environments for diverse teams across hybrid infrastructure.
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Dynamic Resource Management
Intelligently allocate and reallocate compute resources on demand, ensuring optimal performance, workload efficiency, and cost-effectiveness across heterogeneous hardware environments.
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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.
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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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GoldenRay Cloud Native Platform
Features
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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.
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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.
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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.
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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.
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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.
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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.