Immediate Time-To-Market Delivering AI Cloud Services Solution Brief

85% faster time to deploy services

Quickly optimize AI return on investment

The race is on for neoclouds, traditional service providers (SPs), and other AI cloud providers to capture the growing enterprise demand for AI cloud services. Along with time-to-market pressures, optimizing expensive GPUs is critical to maximizing ROI. Virtualizing GPUs as cloud services eliminates GPU idle time by sharing compute cycles across many revenue-generating enterprise customers. But securing multi-tenant GPU cloud infrastructures and simplifying complex AI deployments remains a challenge.

90% lower networking-related OpEx

The fastest way to deploy highly optimized, cost-effective, and secure multi-tenant cloud-based AI services

• Juniper’s Ops4AI Lab validated solution performance

Multivendor AI blueprints and Juniper Validated Designs (JVDs) ensure confidence and expedite deployment times

• Zero Trust AI data center security

Private-to-public AI service security and multi-tenant isolation to protect customer models and data

• GPU-to-cloud AI visibility and AIOps

Fabric-to-GPU connection and flow analytics for assured service performance with AIOps-enabled problem avoidance and resolution

• Automated AI service optimization

Lossless, self-driving AI fabric performance with traffic management autotuning and OpenShift integration reduces complexity and saves time with Day 1 delivery of advanced AI cloud services

SPs in particular are leveraging their highly distributed and vast physical real estate to deliver personalized and responsive AI services with regulatory and data sovereignty conformance. Using predefined 400G and 800G AI blueprints, AIOps, Zero Trust security (featuring Juniper’s SRX4700 next-generation firewall), and Juniper Apstra automation with OpenShift integration, Juniper simplifies the deployment and operation of powerful, flexible, and automated AI cloud services data centers.

Deliver revenue-generating enterprise AI cloud services faster using fewer resources. Intent-based automation simplifies design and deployment to secure multivendor data centers for AI cloud service providers.

• GPU-as-a-Service (GPUaaS)
  Deliver high-performing, scalable, and secure networks for cloud-based AI services like training, inference, RAG, and storage.
• Secure AI multi-tenancy
  Isolate and protect multi-tenant AI workloads, eliminating GPU idle time and maximizing AI ROI.
• Private-to-cloud secure AI services
  VPN, VXLAN, and VRF stitching secure site-to-site and consumer-to-service access for private AI service management, secure inferencing, and accessing private databases (e.g., RAG).
• Agile GPU cloud services
  Dynamically shift compute resources across customer AI pods and networks to optimize AI service performance and eliminate GPU idle times.

Test open-source or custom AI models and data in Juniper’s multivendor Ops4AI Lab to optimize AI infrastructure and services before investing.

Apstra’s intent-based automation and Mist AI, vendor agnostic templates and blueprints, and Juniper JVDs simplify multivendor AI data center design and deployment.

Autotuning automates explicit congestion notification (ECN) and priority flow control (PFC), saving weeks of time optimizing AI service performance.

Protect the infrastructure, models, and data from internal and external threats while isolating multi-tenant AI services with optimal GPU efficiency for lower costs and increased revenue.