Accelerated time-to-value with assured
Networking for AI configurations using Juniper, AMD, Broadcom,
Intel, NVIDIA
Juniper Networks® (NYSE: JNPR), a leader in secure, AI-Native
Networking, today 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.
Users requesting a slot in the Juniper Ops4AI Lab should contact
their local Juniper Networks sales team.
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.
Register for Premier Virtual Networking for AI Event on July
23
Organizations are invited to join the CUBE’s Bob Laliberte and
Juniper AI experts on July 23 for Juniper’s Seize the AI Moment
virtual event, a deep dive into the rapidly evolving AI Data Center
ecosystem with AMD, Broadcom, ePlus, Intel, WEKA, and AI Data
Center end-users Deutsche Bahn and PayPal. Attendees can learn how
these extraordinary industry leaders and customers are creating
sustainable, high-performance AI Data Centers purpose-built for
today and for the future.
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.” - Guido
Simon, Director of Engineering, DeepL
"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 Ops4AI Lab, JVDs,
and a new promotional program to enable our customers and partners
to have maximum choice, flexibility and stability in how they build
a complete GenAI solution. There has never been a better time to
build high-performance, low-latency, multivendor AI Data Center
solutions that are simple, fast and economical to deploy and
operate." - Praveen Jain, SVP and GM of AI and Data Center at
Juniper Networks
“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
~$9B in 2028 with a CAGR of ~70%. Juniper’s approach is spot on to
intersect market demand.” - Vijay Bhagavath, Research Vice
President – Cloud and Datacenter Networks, IDC
“Truly pervasive and performant AI infrastructure relies on
standards-based technologies, open source software and industry
wide collaboration through organizations such as the Ultra Ethernet
Consortium. AMD, Juniper and our partners across the ecosystem
bring together extensive experience in creating and deploying
high-performance, low-latency networking solutions to deliver AI
innovation.” - Steve Scott, Corporate Fellow, Network and Systems
Architecture, AMD
“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 Ops4AI Lab exemplifies our unwavering confidence in the
power of Ethernet networking for AI. We deeply appreciate Juniper's
pioneering leadership in this critical domain.” - Ram Velaga,
Senior Vice President & General Manager, Core Switching Group,
Broadcom
“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.” – Justin Hotard,
Executive Vice President, Data Center & AI Group, Intel
“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.” – Ken Farber, President, ePlus
Software, Strategy, Alliances and Marketing
Additional Resources
Blog by Amit Sanyal: Ops4AI Accelerates Time-to-Value of
High-Performing AI Data Centers While Minimizing Operational Costs
and Headaches
Demo: Automated Congestion Management in the AI
Data Center
About Juniper Networks
Juniper Networks believes that connectivity is not the same as
experiencing a great connection. Juniper’s AI-Native Networking
Platform is built from the ground up to leverage AI to deliver
exceptional, highly secure and sustainable user experiences from
the edge to the data center and cloud. Additional information can
be found at Juniper Networks (www.juniper.net) or connect with
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Media Relations: Kelsey Akerson Juniper Networks
kakerson@juniper.net +14089368179
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