The AI revolution is here, but scaling advanced models in the enterprise is complex. It demands high-performance compute, cost-efficient infrastructure, and robust management across diverse environments. To meet this challenge, a groundbreaking alliance has formed between Cirrascale, Rafay Systems, and Cisco to deliver a complete, end-to-end solution that combines secure AI infrastructure, GPU orchestration, and intelligent inference services, giving organizations a clear path to deploy and scale private AI for their specific needs.
The Three Pillars of Enterprise AI
This strategic partnership unites best-in-class capabilities:
Cirrascale: Cloud Services from an Expert Neocloud with Unique Capabilities Built Around an Intelligent AI Inference Engine
Cirrascale delivers cloud-based solutions to accelerate private AI training and inference workloads. For years, the company has supported some of the most demanding AI deployments in the market.
For the enterprise market, Cirrascale introduced an inference platform that specifically addresses these areas:
- Provides the world's first serverless inference-as-a-service platform for enterprise.
- Utilizes the most optimal AI accelerators (NVIDIA, AMD) for performance and cost savings.
- Features dynamic regional balancing for ultimate latency optimization and resiliency.
- Offers serverless simplicity with enterprise scale for LLMs, generative AI, and multi-modal models.
- Seamlessly integrates with existing hybrid/multi-cloud infrastructure.
Rafay: The Infrastructure Orchestration & Workflow Automation Platform
Rafay delivers an infrastructure orchestration and workflow automation platform that enables self-service consumption of GPU infrastructure across private, hybrid, and multi-cloud environments, turning fragmented compute into a secure, production-ready AI factory. Rafay:
- Provides enterprise-grade governance, multi-tenant segmentation, automated policy enforcement, and built-in compliance controls to ensure secure, compliant, and scalable AI workloads.
- Supports secure, air-gapped and sovereign-ready deployments, enabling full lifecycle orchestration of AI workloads in disconnected or high-security zones.
- Accelerates AI service delivery by automating deployment or inference endpoints and AI workloads, reducing operational complexity and enabling teams to focus on innovation rather than infrastructure management.
Cisco: The Foundational Network & Compute Power
Purpose-built Cisco UCS AI servers featuring latest-generation GPUs (including NVIDIA H100/ H200), NVMe storage, and optional liquid cooling for sustained performance.
- The unified, programmable Cisco Silicon One architecture delivers high-bandwidth, lossless Ethernet for AI frontend and backend GPU cluster communication to enable massive scale-out and scale-across architectures.
- Cisco AI networking delivers purpose-built, high-performance switching, giving a flexible, open, and scalable foundation for both AI backend and frontend networks.
- With Cisco Nexus One as its unified management fabric and AgenticOps driving autonomous intelligence across the portfolio, Cisco AI networking doesn't just connect AI workloads — it actively learns, adapts, and optimizes to ensure performance, visibility, and operational simplicity at any scale. Cisco Intersight provides AI-aware compute lifecycle management, automated firmware compliance, and workload telemetry across the GPU server fleet – complementing Nexus One’s network operations with unified infra visibility
- Security integrated into the stack, including quantum-resilient encryption options and eBPF-based visibility and policy control for cloud-native workloads - helping enable trusted AI operations without performance compromise.
As enterprises increasingly adopt private AI, consistent deployment, policy enforcement, and governance across GPU infrastructure is critical. These are capabilities that Rafay provides as the GPU orchestration and workload automation layer for AI Factory deployments.
Together with Cirrascale’s intelligent inference platform and Cisco’s high-performance infrastructure, this collaboration enables enterprises to deploy, manage, and scale AI workloads seamlessly across hybrid and private environments and deliver AI services at scale without building their own platform stack.
Working in Harmony to Solve Enterprise AI Challenges
Imagine deploying a mission-critical generative AI model:
- Cisco provides the high-speed network and AI-optimized servers as the lightning-fast, reliable physical foundation.
- Rafay provisions and orchestrates the GPU infrastructure and AI workloads, ensuring resources are secure, policy-compliant, and efficiently utilized across environments.
- Cirrascale hosts the AI models on its serverless Inference Platform, intelligently utilizing applicable AI accelerators, scaling dynamically, and delivering predictions with optimal performance and cost.
Unlocking Unprecedented Benefits for Enterprise Customers
This integrated approach offers powerful advantages:
- Unmatched Performance & Scalability: A robust foundation, optimized AI acceleration, and efficient application scaling ensures AI runs at peak performance for all workloads. Automated infrastructure provisioning and workload scaling drastically reduce complexity, enabling faster deployment and freeing teams to focus on innovation.
- Streamlined Operations: A model-as-a-service approach, reliable infrastructure, and centralized orchestration drastically reduce complexity, accelerate AI workload deployment, and free teams to focus on innovation.
- Optimized Cost-Efficiency: Intelligent resource allocation and multi-tenant usage tracking across all layers ensures predictable billing, effective utilization, and reduced total cost of ownership for AI initiatives.
- Hybrid & Multi-Cloud Flexibility: Full support for hybrid and multi-cloud strategies ensures AI can be deployed wherever data resides or business needs dictate, managed consistently and securely across environments.
Securing the Future of AI: Private AI Powered by Cirrascale, Rafay, and Cisco
For enterprises demanding uncompromised data privacy, control, and security for their AI initiatives, the strategic alliance of Cirrascale, Rafay Systems, and Cisco delivers an unparalleled, end-to-end solution for Private AI.
Cisco supplies the secure, high-performance on-premise AI-optimized hardware and networking backbone, ensuring physical control and data locality. Rafay provides the provisioning and orchestration of the GPU infrastructure and AI workloads, while enabling centralized governance, automated policy enforcement, and secure multi-tenant management of GPU workloads across private clouds and data centers. Finally, Cirrascale offers not only a service offering for all these capabilities, but also provides its intelligent, serverless inference platform, designed for secure integration with private infrastructure and capable of optimal accelerator selection and dynamic workload balancing, all while maintaining data sovereignty.
Together, this powerful triumvirate ensures enterprises can confidently deploy, manage, and scale their most sensitive AI workloads with unmatched security, compliance, performance, and operational simplicity, transforming private AI challenges into a decisive strategic advantage.
Ready to see how this works for your organization? Talk to the Cirrascale team to get started: cirrascale.com/get-started
