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Prosimo introduces AI Suite for Multi-Cloud Networking

Enterprises can provision connectivity for AI workloads and data services in minutes, avoiding time-consuming legacy connectivity methods.

Prosimo, a leader in multi-cloud networking software, today announced AI Suite for Multi-Cloud Networking, empowering teams to bring AI workloads to market faster.

While the benefits of AI are clear, many Enterprises have been slow to adopt it because their legacy systems are hindering their progress. AI Suite for Multi-Cloud Networking gives organizations everything they need for AI readiness in one vertically integrated platform.

“AI adoption has changed requirements for cloud networking dramatically – increasing cross-cloud interactions, bringing the need to secure AI workloads and data, as well as expecting high-quality rapid decisions,” said Prosimo co-founder and CEO Ramesh Prabagaran. “We are solving both problems in one – multi-cloud networking for AI to help speed up adoption of AI, and AIOps for faster decision making.”

Prosimo takes a full lifecycle approach, offering two key capabilities:

Multi-Cloud Networking for AI: Provides the core connectivity, security, and infrastructure building blocks for AI workloads. This includes high bandwidth, ultra-low latency, multi-cloud connectivity, and built-in compliance and guardrails around Data sets for LLM.Nebula: AIOps for Multi-Cloud Networking: Enables fast observability, monitoring, troubleshooting, and cost optimization for cloud networking infrastructure. Prosimo’s Nebula assistant uses natural language to provide predictive recommendations and accelerated root cause analysis for operational excellence.

“There’s a rush going on now to build up these enterprise AI environments, but it’s challenging for companies to manage their infrastructure across multiple different clouds,” said Bob Laliberte, principal analyst at ESG. “The ideal solution ties everything together and gives you information about how everything runs.”

Multi-Cloud Networking for AI: Ensures Scalability and Security for AI Infrastructure

Prosimo AI Suite for Multi-Cloud Networking is a full-stack, cloud-native platform that understands connectivity needs across L3 to L7 and enables enterprises to take advantage of cloud-native connectivity designed for AI. Prosimo’s multi-cloud networking fabric is built from the ground up to support next-generation AI workloads in these key areas:

End-to-End Private Connectivity: Seamless distributed data access without legacy IPsec tunnels and IP layer limits, rather use native constructs like PrivateLink & PSCDeep Observability: The ability to detect anomalous behavior across the stack, with application-level visibility for costs, traffic, and resource attribution.Enhanced Security: Companies can enforce enterprise-level policies for using approved AI services to ensure the organization isn’t inadvertently exposing sensitive data.App-Driven Routing: Request-aware steering for app security and compliance.

Nebula: AI Ops for Multi-Cloud Networking: Nebula Multi-Cloud Network Assistant Delivers 60-80% Faster Mean Time to Resolution and 60+% Lower Cloud Networking Costs.

Nebula Multi-Cloud Network Assistant is Prosimo’s conversational AI assistant for cloud networking. Teams can query their network using natural language and get intelligent recommendations powered by Prosimo’s large language model (LLM), the only LLM that incorporates data across multiple classes addressing the top three pain points for cloud ops teams:

Network Policy and Traffic: A comprehensive view of overlapping IP networks across cloud providers, accounts, regions, and more makes identifying and resolving complex issues easy.Infrastructure and Cost: Natural-language queries (“Why are my expenses so high this month?” or “Which regions contributed the most to my higher costs?”) let teams quickly drill down into cost drivers, trends, and inefficient resource utilization. Nebula reduces the time spent clicking through dashboards to uncover actionable cost insights.Security and Compliance: Teams can quickly identify unauthorized cross-region access that violates regulatory policies.

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