Given Hewlett Packard Enterprise Co.‘s Juniper acquisition has now had a bit of time to percolate, I was expecting to see at HPE’s European version of its user event Discover this week in Barcelona how it’s using the combined assets to reshape itself for the artificial intelligence era. The event is the first real glimpse into how the Juniper Networks acquisition is taking shape, just five months after the deal closed.
Scaling artificial intelligence is not just a compute problem but increasingly a network issue, a reality that Arista Networks addressed Wednesday by unveiling its latest switch family targeted toward AI data centers. It’s new generation, the R4 Series platform is based on the Broadcom Jericho3 Qumran3D silicon and is designed for AI, cloud data centers and routed backbone deployments.
Cisco Systems Inc. today announced its 8223 routing system, powered by its new Silicon One P200 chip — a new network system designed to unlock artificial intelligence’s potential through massive scale. Earlier this year, Nvidia Corp. introduced the concept of “scale-across” architectures as AI is now hitting the limits of a single data center. A “unit of compute” was once a server then evolved into a rack and then the entire data center.
Artificial intelligence is at the heart of almost every part of an organization’s strategy, and that includes information technology operations. However, many organizations aren’t seeing clear business results. In fact, a recent MIT Study found that 95% of generative AI projects are failing. One of the big reasons for failure is that AI is being deployed in silos resulting in partial insights into the broader ecosystem.
The implementation of artificial intelligence generates wide-ranging effects throughout all industrial sectors through its generative capabilities and large language models together with autonomous systems and scientific discovery applications, but true AI capabilities have been hard to achieve because the foundation of the infrastructure needs a complete redesign.