The system is designed to decrease latency in AI functions by pairing Nvidia’s accelerated computing and software program with Cisco’s high-performance Ethernet networking
In sum – what to know:
Cisco expands Safe AI Manufacturing facility with Nvidia – New infrastructure provides VAST Knowledge integration to hurry up retrieval-augmented technology (RAG) pipelines and assist agentic AI at enterprise scale.
Decrease latency for AI workloads – AI PODs scale back RAG pipeline response instances from minutes to seconds, serving to brokers entry knowledge sooner and ship extra related, real-time enterprise insights.
Deal with safety and governance – The system contains role-based entry, audit readiness, and observability via Splunk, aiming to safeguard enterprise knowledge whereas enabling AI adoption.
U.S. networking firm Cisco has introduced an growth of its Safe AI Manufacturing facility with Nvidia, introducing new infrastructure capabilities designed to assist enterprise adoption of agentic AI.
In a launch, Cisco famous that the brand new options deal with accelerating retrieval-augmented technology (RAG) pipelines, enabling sooner and safer knowledge entry for AI brokers at scale.
The corporate stated its AI PODs — infrastructure modules that mix compute, storage, and networking — are actually out there with VAST Knowledge’s InsightEngine. This integration is constructed on the Nvidia AI Knowledge Platform reference design, permitting organizations to organize uncooked knowledge into usable AI datasets, the agency stated.
Cisco famous that these PODs are powered by its UCS servers geared up with Nvidia RTX PRO 6000 Blackwell Server Version GPUs, among the many first to undertake the Nvidia AI Knowledge Platform reference structure.
The agency defined that the system is designed to decrease latency in AI functions by pairing Nvidia’s accelerated computing and software program with Cisco’s high-performance Ethernet networking. The Safe AI Manufacturing facility framework additionally integrates with Splunk for observability and Cisco AI Protection for safety guardrails, it added.
Jeremy Foster, senior vice chairman and basic supervisor of Cisco Compute, stated: “Agentic AI has the potential to unlock the worth of AI for enterprises around the globe. Shifting past chatbots to brokers that may assist resolve true enterprise challenges is revolutionary, however provided that enterprises can successfully leverage the best knowledge on the proper instances. Cisco, Nvidia and VAST are working collectively to present clients a easy path to unlocking the worth of their knowledge. We’re designing the structure for a way the enterprise will construct the subsequent technology of AI factories.”
Justin Boitano, vice chairman of Enterprise AI at Nvidia, added: “The following wave of agentic AI will likely be fueled by enterprise knowledge, enabling brokers to faucet into enterprise information throughout inference for exact, up-to-date insights. Bringing collectively Cisco Safe AI Manufacturing facility with Nvidia and VAST InsightEngine creates an built-in platform for working highly effective AI brokers at scale.”
John Mao, vice chairman of strategic alliances at VAST Knowledge, stated: “By integrating the VAST Knowledge InsightEngine into the Cisco Safe AI Manufacturing facility with Nvidia, we’re giving enterprises the primary built-in design for RAG acceleration at scale. This collaboration with Cisco and Nvidia represents a significant milestone within the evolution of enterprise AI.”
In keeping with Cisco, the brand new design addresses enterprise considerations round knowledge entry, governance, and efficiency. By decreasing RAG pipeline latency from minutes to seconds, the system goals to supply near-real-time AI responses. It additionally helps a number of brokers and workloads concurrently, whereas incorporating role-based entry controls and audit readiness to assist organizations defend delicate data as they broaden AI use instances, the agency added.
In June, Cisco launched a spread of knowledge heart and networking improvements geared toward serving to organizations scale their synthetic intelligence (AI) infrastructure.
The corporate famous that the brand new capabilities have been unveiled following a powerful third quarter wherein the networking agency exceeded its annual $1 billion AI infrastructure order goal from hyperscalers.
