The rapid advancement of AI applications is reshaping industries, driving an unprecedented demand for scalable, high-performing, and flexible data center solutions. As AI workloads grow in complexity and scale, traditional infrastructures often struggle to keep pace, resulting in bottlenecks, inefficiencies, and increased operational costs.
Addressing these challenges head-on, Juniper’s AI Unbound: Your Data Center, Your Way virtual event brings together industry leaders and visionaries from Juniper, AMD, and Broadcom to pull back the covers on the future of AI. With sessions on critical Ethernet innovations, emerging opportunities for GPU diversity, and new AI as a Service (AIaaS) market opportunities, AI Unbound will help enterprises, neoclouds, traditional service providers, and other AI cloud providers learn how to bring secure AI services to production faster with lower risk and improved ROI. Neoclouds are a growing category of specialized providers of on-demand, cloud-hosted AI services, making AI services generally available and accessible.
Featuring customers including Vultr and Digital Ocean for their unique perspective and experiences developing and deploying AI data centers and services, the event provides valuable insights from partners and customers in the open AI ecosystem.
Wrangling multivendor AI data centers and services
Top of mind for all event participants is the value of and industry reliance upon multivendor solutions. Everyone agrees that multivendor solutions are powerful, cost-effective, and agile. But everyone also agrees that managing a multivendor data center from design through deployment to daily operation can be daunting. To shift the complexity away from customers, Juniper has brought industry solutions from NVIDIA, AMD, WEKA, and VAST Data into Juniper’s Ops4AI Lab to pretest and validate multivendor AI infrastructures. This industry collaboration simplifies AI deployments using Juniper Validated Designs (JVDs) and deployable AI blueprints for speed, stability, and performance.
The Ops4AI Lab serves as a multivendor testing ground for optimizing AI workload performance through flexible data center architectures. The Lab offers white-glove service and risk-free validation of customer models and AI applications across the most popular accelerated computing and storage solutions. Additionally, it optimizes the entire network stack, including NVIDIA Collective Communications Library (NCCL), AMD ROCm Communication Collective Library (RCCL), Network Interface Controller (NIC), storage, and network fabric, to ensure maximum performance.
Juniper recently introduced the AMD MI300 into the Lab, extending AI compute flexibility with greater choice, improved time to market, and reduced costs. Working with AMD, a performance assessment was conducted using the RCCL framework on a 32-node AMD MI300x GPU cluster, interconnected via Juniper QFX5240 800GbE Ethernet switches and Broadcom Thor-2 400GbE NICs. The Juniper QFX5240 switch delivers high-density 800GbE connectivity with features like low latency, dynamic load balancing, congestion management, and specialized AI/ML workload support. The Broadcom Thor-2 NIC enhances data transmission with a 400 GbE PCIe Gen 5 interface, while the AMD MI300x accelerators improve efficiency and performance for AI and high-performance computing (HPC) tasks.
Ops4AI provides enterprises, service providers, and cloud providers with a controlled environment to test, validate, and optimize AI service delivery. This enables them to implement cost-effective and scalable solutions tailored to their operational needs.
Evolving business models: networking for AI cloud services
As AI technology advances and business models for consuming and delivering AI services evolve, multivendor collaboration becomes a critical success factor in deploying services quickly to market. A case in point is the market growth for cloud-hosted AI services. Service providers are racing to capture the growing enterprise demand for GPU-as-a-Service (GPUaaS) and AI-as-a-Service (AIaaS). Service providers are particularly well-positioned to deliver personalized and responsive AI services that comply with regulations and data sovereignty governance.
But time-to-market pressures, the cost and efficiency bottlenecks of GPUs, and multitenant GPU security can add complexity to an already challenging AI deployment. Neoclouds and traditional service providers need automation-driven speed with embedded security to simplify deployments and slash time-to-revenue.
Juniper’s Ops4AI Lab vendor collaboration creates turnkey solutions for neocloud and traditional service providers for immediate time to market with reduced operational costs. By leveraging intent-based automation, AI-driven optimizations, secure multitenant networking, and multivendor JVDs and blueprints, Juniper’s AI-ready, multivendor infrastructure enables these providers to efficiently allocate GPU resources, optimize workloads, and maintain high-performing AI services with minimal overhead. Whether supporting deep learning model training, real-time inferencing, or large-scale AI deployments, Juniper’s solutions provide unparalleled reliability, agility, and security—all to help fuel AI innovation.
Key benefits for AI cloud providers
Automation accelerates deployment and simplifies operations
- Validated in Juniper’s Ops4AI Lab, multivendor AI JVDs and blueprints—including NVIDIA and AMD accelerated computing, WEKA, and VAST Data storage, and Juniper networking—provide secure front-end and back-end AI fabrics, including rail-optimized designs, and help automate the design and deployment of multivendor AI infrastructure. Juniper Apstra® Cloud Services integrates the proven Juniper Mist AI™ Marvis solution, bringing AIOps to the data center and delivering both application assurance and data center network assurance. Additionally, Apstra intent-based networking and Mist AI integration with Red Hat® OpenShift® automates network provisioning in AI network fabrics in a Kubernetes environment, enhancing agility and accelerating AI service provisioning.
Validated solutions provide confidence and assured performance
- In addition to speed, AI JVDs further guarantee end-to-end data center performance encompassing switching, security, and automation. Higher network performance means GPUs process data without bottlenecks, maximizing GPU utilization and driving AI service revenues. Additionally, Juniper provides a secure, high-performance 400/800GbE solution for Data Center Interconnect (DCI), ensuring seamless scalability across AI infrastructure. With self-optimizing Ethernet AI fabrics, Juniper delivers congestion auto-tuning, advanced load balancing, and NIC-to-switch monitoring and tuning, achieving performance comparable to InfiniBand while allowing customers to leverage the broader ecosystem of Ethernet-trained professionals and tools.
Zero Trust security and multitenancy protects users and data
- Juniper’s Zero Trust Data Center Security portfolio safeguards AI infrastructure, models, and confidential data from internal and external threats. Featuring the Juniper SRX 4700 next-generation firewall, it isolates AI services to secure each customer in a multi-tenant environment, delivering exceptional value to AI cloud providers with unmatched performance, high-speed 400 Gbps connectivity, and industry-leading throughput. Additionally, Junos®’ EVPN-VXLAN capabilities enable secure isolation and segmentation of workloads in shared environments, ensuring the integrity of customer data and preventing unauthorized access.
Open flexibility avoids vendor lock-in
- Juniper’s Ethernet-based AI fabric offers performance comparable to InfiniBand while tapping into a broad pool of Ethernet-trained professionals and tools.
The future of AI infrastructure
Join us virtually for AI Unbound: Your Data Center, Your Way on March 11 to discover how Juniper Networks enables organizations to harness AI’s full potential, delivering high-performance, scalable, and secure AI infrastructure solutions.
- Expert discussions: Gain insights from industry leaders at AMD, Broadcom, and Juniper on the latest AI infrastructure trends and challenges.
- Live demonstration of RAG for inferencing: See cutting-edge AI applications in action.
- Real-world applications: Hear from customers leveraging AI solutions to drive efficiency and innovation, achieving lower operational costs and enhanced AI capabilities.
Register now for exclusive insights that can transform your data center strategy and operations. Don’t miss this opportunity to stay ahead in the rapidly evolving AI landscape
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