AI Infrastructure Solutions

High-performance, scalable compute and networking infrastructure purpose-built for AI workloads, from training large language models to running real-time inference at scale.

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AI Infrastructure Solutions

What it is

AI Infrastructure Solutions deliver enterprise-grade, pre-validated infrastructure platforms purpose-built for the complete AI lifecycle. Built on Cisco AI PODs and the Cisco Secure AI Factory architecture developed in partnership with NVIDIA, these solutions combine high-performance GPU compute, lossless low-latency networking, advanced storage, and unified management into modular, scalable platforms. Whether training large language models, fine-tuning foundation models, or running high-throughput inference workloads, these architectures deliver the performance, security, and operational simplicity required for production AI at scale.

Who it's for

  • Enterprises building custom AI models requiring GPU-accelerated training infrastructure
  • AI/ML Teams deploying large language models, computer vision, or deep learning applications
  • Cloud Service Providers building multi-tenant AI infrastructure
  • Research Organizations conducting AI research requiring high-performance computing clusters
  • Financial Services deploying AI for fraud detection, algorithmic trading, and risk modeling
  • Healthcare Organizations implementing AI for medical imaging, diagnostics, and drug discovery
  • Technology Companies building AI-powered products and services
  • Organizations modernizing data centers for AI workloads with on-premises or hybrid requirements

Problems it solves

  • Deployment Complexity: Eliminates months of architecture design and integration with pre-validated designs
  • Performance Bottlenecks: Delivers sub-millisecond latency networking and optimized GPU utilization
  • Scalability Limitations: Seamlessly grows from 32 to 128+ GPUs per cluster with modular scale units
  • Integration Challenges: Provides full-stack validation across compute, network, storage, and software
  • Security Concerns: Embeds enterprise-grade security at every infrastructure layer
  • Management Overhead: Unifies infrastructure management through Cisco Intersight and Nexus Dashboard
  • Time to Value: Reduces deployment time versus custom-built solutions
  • Technology Risk: Leverages proven architectures validated by Cisco and NVIDIA
  • Resource Constraints: Enables organizations to focus on AI innovation, not infrastructure operations
How our solution works

Step 1 - Discovery / Assessment

  • AI workload characterization (training, fine-tuning, inference requirements)
  • Performance and capacity requirements gathering (GPU count, memory, storage throughput)
  • Current infrastructure assessment and integration requirements
  • Network architecture review and data center capabilities analysis
  • Power, cooling, and physical space requirements evaluation
  • Software stack requirements (operating systems, container platforms, AI frameworks)
  • Security and compliance requirements definition
  • Team skillset assessment and training needs identification
  • Budget and timeline constraints understanding

Step 2 - Proposal / Design

  • AI POD configuration selection based on workload requirements
  • GPU platform selection (NVIDIA H100, H200, L40S, or other accelerators)
  • Compute architecture design with Cisco UCS C845A, C885A, or X-Series platforms
  • Network fabric design with Cisco Nexus switching (400G/800G) for lossless, low-latency connectivity
  • Storage solution design with validated partners (VAST Data, NetApp, Pure Storage)
  • Management platform architecture (Cisco Intersight, Nexus Dashboard)
  • Security architecture including Hypershield, AI Defense, and Isovalent integration
  • Software stack design (NVIDIA AI Enterprise, Red Hat OpenShift, Kubernetes)
  • High availability and disaster recovery design
  • Scaling roadmap for future growth
  • Comprehensive bill of materials with licensing requirements
  • Phased implementation plan minimizing risk and accelerating time to value

Step 3 - Implementation / Delivery

  • Hardware procurement and factory integration validation
  • Pre-deployment planning and site preparation coordination
  • Cisco Nexus fabric deployment with RoCEv2 lossless networking configuration
  • Cisco UCS compute deployment with GPU integration and validation
  • Storage platform deployment and integration with compute fabric
  • Unified management platform deployment (Intersight, Nexus Dashboard)
  • NVIDIA AI Enterprise software stack installation and configuration
  • Container orchestration platform deployment (OpenShift, Kubernetes)
  • Security solution integration (Hypershield, AI Defense, Isovalent)
  • Network performance optimization and GPU Direct RDMA configuration
  • Comprehensive performance validation and benchmarking
  • High availability and failover testing
  • Knowledge transfer and operational training
  • Complete as-built documentation and runbooks

Step 4 - Optimization / Ongoing Support / Managed Services

  • Performance monitoring and GPU utilization optimization
  • Proactive capacity planning and scaling recommendations
  • Infrastructure health monitoring and predictive maintenance
  • Software lifecycle management (firmware, drivers, AI frameworks)
  • Security posture monitoring and compliance validation
  • Regular performance benchmarking and tuning
  • Quarterly business reviews with infrastructure roadmap updates
  • 24/7 monitoring and incident response (optional managed services)
  • Training on new features and capabilities
  • Support for new AI workloads and use cases

What You Get (Deliverables)

  • AI Infrastructure Architecture: Detailed design documentation for full-stack AI infrastructure
  • Pre-Validated AI POD: Factory-tested, integrated compute, network, and storage platform
  • High-Performance Networking: 400G/800G Cisco Nexus fabric with sub-millisecond latency
  • GPU-Accelerated Compute: NVIDIA H100/H200 GPUs with Cisco UCS C-Series or X-Series servers
  • Unified Management: Cisco Intersight and Nexus Dashboard for simplified operations
  • Validated Software Stack: NVIDIA AI Enterprise with container orchestration platform
  • Security Integration: Embedded security across infrastructure layers
  • Performance Reports: Comprehensive benchmarking and validation results
  • Operational Documentation: Complete runbooks and standard operating procedures
  • Training Program: Hands-on training for infrastructure and AI operations teams

Benefits / Outcomes

  • Accelerated Deployment: Reduce infrastructure deployment time by up to 50% versus custom builds
  • Proven Performance: Achieve optimal GPU utilization with validated architecture designs
  • Seamless Scalability: Grow from pilot to production with modular scale units (32, 64, 128+ GPUs)
  • Operational Simplicity: Manage entire AI infrastructure from unified management platforms
  • Enterprise Security: Deploy with confidence knowing security is embedded at every layer
  • Reduced Risk: Eliminate integration challenges with pre-validated full-stack solutions
  • Faster Time to AI Value: Begin training models in weeks instead of months
  • Investment Protection: Built on industry-standard platforms with clear upgrade paths
  • Compliance Ready: Support for regulatory requirements with comprehensive audit capabilities
  • Cost Optimization: Maximize ROI through optimal resource utilization and operational efficiency

Engagement Model / Pricing Style

  • Fixed-Price Implementation: Defined scope for complete AI infrastructure deployment
  • Modular Pricing: Start with single AI POD scale units and expand as needed
  • Flexible Licensing: Choose annual or multi-year terms for software subscriptions
  • Managed Services: Comprehensive infrastructure management with predictable monthly costs
  • Hybrid Model: Fixed implementation with optional ongoing managed services
  • Consumption-Based: Pay-as-you-grow options with flexible capacity expansion

Technologies Included

  • Cisco UCS C-Series/X-Series: C845A M8, C885A M8 with up to 4TB DDR5 memory per node
  • NVIDIA GPUs: H100, H200, L40S, A100 with up to 128+ GPU clusters
  • Cisco Nexus 9000 Series: 400G/800G switches with RoCEv2 lossless networking
  • Storage Partners: VAST Data, NetApp AFF, Pure Storage FlashArray validated integration
  • NVIDIA AI Enterprise: Complete AI software platform with NeMo, NIMs, and Blueprints
  • Cisco Intersight: Cloud-based unified infrastructure management and automation
  • Cisco Nexus Dashboard: Centralized network management with AI workload visibility
  • Container Platforms: Red Hat OpenShift, Kubernetes, Rancher support
  • Security Solutions: Cisco Hypershield, AI Defense, Isovalent Enterprise Platform

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