Juniper Networks, a leader in secure, AI-Native Networking, has officially announced the launch of a new solution, which is designed to serve the needs of neocloud, traditional SPs and other AI cloud providers who are deploying and managing GPUaaS (GPU-as-a-Service) and AIaaS (AI-as-a-Service) offerings.
According to certain reports, the new innovation arrives on the scene bearing an ability to significantly speed up time-to-market, simplify operations, and cut down on the cost of managing these services, while simultaneously delivering high-performance data center networks that are optimized for multi-tenant environments.
More on that would reveal how Juniper’s latest brainchild can be expected to deliver a powerful and secure way of deploying highly optimized, cost-effective and multi-tenant cloud-based AI services. We say so because it brings forth high-performing, scalable and secure networks for cloud-based AI services, such as training and inference with Retrieval Augmented Generation (RAG). The solution is also quick-to-deploy and easy-to-manage, providing time-to-market advantages to AI cloud providers.
At launch, the technology packs together QFX Series Switches, PTX Series Routers, and SRX Series Firewalls, managed via Juniper Apstra® data center assurance software and Mist AI™.
To understand the significance of such a development, we must take into account how more and more enterprises today are turning to neocloud, traditional SPs, and other AI cloud providers for on-demand AI services to reduce costs and improve time-to-market. This they are doing to effectively build optimized infrastructure, and therefore, deliver better performance and offer more competitive pricing, particularly by enabling a pay-as-you-go model for expensive hardware like GPUs.
“Enterprises of all sizes are aggressively looking to use recent advancements in AI to transform their businesses, but they are getting slowed down by the complexity of managing infrastructure. AI cloud infrastructure services from Digital Ocean speed up time-to-market, lower cost of ownership, and remove the complexity of deploying AI. Scalable, reliable and operationally simple networking from Juniper for front-end and back-end AI networks helps us deliver high fidelity AI services to our customers,” said Bratin Saha, Chief Product and Technology Officer at Digital Ocean.
Talk about the whole value proposition on a slightly deeper level, we begin from the promise to accelerate deployment and simplify operations. In essence, through a combination of intent-based networking and Mist AI, Juniper should be able to simplify Day 0/1/2+ operations and reduce ongoing costs by up to 85 percent in some instances, with up to 10x reduction in deployment time.
Furthermore, thanks to its integration with Red Hat® OpenShift®, the technology can help you unlock an even greater amount of automation benefits in Kubernetes environments.
Next up, we have a facility focused on providing zero-trust security and multi-tenancy, a facility which treads up a long distance to protect users and their data at all times.
Here, you have Juniper’s Zero Trust DC Security portfolio, along with EVPN VXLAN capabilities within Juniper switches, conceiving multi-tenancy capabilities to secure the AI infrastructure, models, and confidential data from internal and external threats.
There is also a bid to leverage Juniper’s SRX 4700, which happens to be a next-generation firewall 1 U device, designed for service providers, cloud providers, and large enterprises. The solution also delivers the industry’s highest firewall throughput per rack unit, up to 1.4 Tbps, and supports 400 Gbps interfaces with wire speed MACsec to safeguard data in motion.
Another detail worth a mention is rooted in the availability of industry’s only multi-vendor solution for DC fabric management and automation, making it the most flexible to design and simplest to manage.
In case that wasn’t enough, Juniper also has unique capabilities to optimize AI workload performance over Ethernet. This allows providers to use open and proven technologies that avoid vendor lock-in.
“Selecting the right GPU infrastructure and deciding whether to build, buy or rent it can significantly impact a company’s success in the rapidly evolving field of AI and ML. Juniper provides us with easy-to-deploy, secure, AI-optimized networking for our multi-tenant AI infrastructure that for us is on par with traditional InfiniBand but has a far greater human resource pool to support it since it’s Ethernet,” said Jeff Hinkle, CEO at ionstream.ai.
