Juniper Networks Introduces Industry’s First Ops4AI Lab and Validated Designs to Maximize AI Workload Performance Using Open and Flexible Infrastructure That Is Easy to Manage
Accelerated time-to-value with assured Networking for AI configurations using Juniper, AMD, Broadcom, Intel, NVIDIA
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 A I: 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
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
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Juniper Validated Designs to provide assurance
Juniper Validated Designs are detailed implementation documents that give new customers confidence that the solution and topology they have chosen is well characterized, well tested and repeatable, resulting in faster time to successful deployment. All JVDs are proven integrated solutions, tested in best practice designs based on specific platforms and software versions.
Juniper has released the first pre-validated blueprint specifically for AI data centers, built on Nvidia A100 and H100 compute, storage from Juniper’s ecosystem partners, and Juniper’s portfolio of data center leaf and spine switches. This new Ops4AI JVD complements Juniper’s existing JVDs for automated, secure data centers which include QFX and PTX spines, QFX leaf switching, data center automation, and Juniper’s SRX and vSRX/cSRX solutions for data center security.
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Supporting Quotes
“DeepL is on a mission to break down language barriers for businesses everywhere and over one hundred thousand businesses globally trust us to power their translations. To meet the evolving needs of our business, we required a data center network that offers higher throughput, scalability, excellent reliability and reasonable total cost of ownership. Juniper’s QFX Switches are central in bolstering our AI workloads, providing the robust networking foundation necessary to operate intensive computational demands across our whole infrastructure efficiently.”
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"Best-of-breed always wins out, and the same will be true for compute, storage, networking and operations in AI Data Centers. Juniper has made a significant investment in the
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“A new ecosystem of networking, compute and storage is being developed based on the Ethernet protocol to meet the growing needs of on-premises Enterprise AI deployments, which will lead to shifts in the AI infrastructure vendor landscape. IDC estimates that the market for Generative AI data center ethernet switching will reach
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“Truly pervasive and performant AI infrastructure relies on standards-based technologies, open source software and industry wide collaboration through organizations such as the
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“Ethernet stands as the de facto networking solution for AI clusters, excelling across all metrics of performance, scalability, reliability, economics, ease of use and open interoperability. Juniper's
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“Generative AI is a highly demanding data center workload, and AI accelerators (xPUs) are at the center of this. Successful AI solutions rely upon the open, collaborative integration of compute with high-performance networking and storage for reliable, low-latency AI training and inference. Intel is bringing AI everywhere across the enterprise, from the PC to the data center to the edge, and we are excited to partner with Juniper as their innovation in Ethernet networking is vital to interconnect large AI clusters and optimize job completion times.”
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“At ePlus, delivering automated, easy-to-deploy, scalable and managed data center networking solutions is one of our top priorities, especially as we assist our customers in supporting their AI initiatives. As a solution partner, Juniper's AI-optimized networking integrates well with both our READI network architecture (Resilient, Efficient, Agile, Defensive, Intelligent), as well as our AI Ignite strategy, providing the connective fabric across our compute and storage solutions to achieve seamless connectivity with performance, speed, and efficiency.”
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