Juniper Networks, a leader in secure, AI-Native Networking, announced the first and most comprehensive multivendor lab for validating end-to-end automated AI Data Center solutions and automated operations with switching, routing, storage and compute solutions from leading vendors, as well as new Juniper Validated Designs (JVDs) that accelerate the time-to-value in deploying AI clusters. In addition, Juniper is releasing new key software enhancements that optimize the performance and management of AI workloads over Ethernet. Through these Operations for AI—Ops4AI—initiatives, Juniper is collaborating closely with a broad range of infrastructure ecosystem partners to enable the best AI workload performance via the most flexible and easiest-to-manage data center infrastructures.
As a key element of Juniper’s AI-Native Networking Platform, the existing Networking for AI solution consists of a spine-leaf data center architecture with a foundation of AI-optimized 400G and 800G QFX Series Switches and PTX Series Routers. The solution is secured via high performance firewalls with industry-leading effectiveness, and managed via Juniper Apstra data center assurance software and the Marvis Virtual Network Assistant (VNA). Juniper Apstra and Marvis provide key Ops4AI capabilities, such as intent-based networking, multivendor switch management, application / flow / workload awareness, AIOps proactive actions and a GenAI conversational interface. With Juniper’s full Networking for AI solution, customers and partners can lower AI training Job Completion Times (JCTs), reduce latency during inferencing and increase GPU utilization while decreasing deployment times by up to 85 percent and reducing operations costs by up to 90 percent in some instances.
To simplify AI clusters and maximize network performance even further, Juniper has added new Ops4AI software enhancements that together offer unique value for customers. The enhancements being announced today include:
- Fabric autotuning for AI: Telemetry from routers and switches are used to automatically calculate and configure optimal parameter settings for congestion control in the fabric using closed-loop automation capability in Juniper Apstra to deliver peak AI workload performance.
- Global load-balancing: An end-to-end view of congestion hotspots in the network (i.e. local and downstream switches) is used to load-balance AI traffic in real-time, delivering lower latency, better network utilization and reduced JCTs.
- End-to-end visibility from network to SmartNICs: Provides an end-to-end holistic view of the network, including SmartNICs from Nvidia (BlueField and ConnectX), and others.
Industry’s first multivendor Ops4AI Lab to collaborate with ecosystem and validate operations
Openness and collaboration are core to Juniper’s networking mission as they are the only way to move AI Data Centers from their current early adopter stage to effective mass market deployments. End-to-end operations for multivendor AI Data Center infrastructure has been difficult, leading to vertically integrated AI Data Center solutions that are vendor-locked and lead-time challenged. As a result, Juniper has launched the industry’s first Ops4AI Lab with participation from Juniper’s partner ecosystem including Broadcom, Intel, Nvidia, WEKA and other industry leaders. The Ops4AI Lab, located at Juniper’s Sunnyvale, CA corporate headquarters, is open for all qualified customers and partners who want to test their own AI workloads using the most advanced GPU compute, storage technologies, Ethernet-based networking fabrics and automated operations. Ops4AI Lab testing using validated Ethernet fabrics delivers comparable performance to InfiniBand-based AI infrastructure.
SOURCE: Businesswire