Virtana has announced support for HPE AI Factory, including HPE AI-ready server infrastructure, through validation in the HPE Server Partner Program. The integration extends Virtana's agentic observability platform to help organizations optimize performance, improve efficiency, and scale AI with confidence.
Virtana announced support for HPE AI Factory with validation through the HPE Server Partner Program.
The integration delivers agentic observability for HPE AI-ready server infrastructure, correlating GPU performance with memory, power, and thermal signals.
Key capabilities include GPU tracking, power and thermal intelligence, reliability monitoring, and AI capacity planning.
41% of practitioners report GPU inefficiency as AI workloads introduce nonlinear scaling pressures.
This marks Virtana's fourth major AIFO integration in 2026, expanding its AI infrastructure ecosystem coverage.
The solution helps organizations measure, optimize, and maximize business value of HPE-based AI investments.
Virtana, provider of the deepest and broadest agentic observability platform for hybrid and multi-cloud environments, today announced support for HPE AI Factory, including HPE AI-ready server infrastructure, through validation in the HPE Server Partner Program. Delivered as part of the Virtana AI Platform, AI Factory Observability (AIFO) provides customers with a proven, production-ready agentic observability solution that interoperates seamlessly with HPE AI infrastructure. The validation gives organizations confidence that Virtana's AI observability platform interoperates cleanly with HPE servers and is supported in production AI environments. This announcement marks Virtana's fourth major AIFO integration in 2026, further expanding Virtana's position as the system-aware agentic observability platform spanning the industry's leading AI infrastructure ecosystem.
"AI is becoming foundational infrastructure for every industry, and the organizations that lead will be the ones that operate it with the same discipline they apply to every other mission-critical system," said Paul Appleby, CEO of Virtana. "The HPE AI Factory provides the foundation for enterprise AI. Virtana extends that foundation with end-to-end agentic observability, giving customers the visibility, governance, and operational control they need to optimize performance, improve efficiency, and scale AI with confidence."
Virtana's AI Is Breaking Human-Managed Operations research found that 41% of practitioners report GPU inefficiency and contention as AI workloads introduce nonlinear scaling and resource pressure that legacy monitoring cannot explain. The finding points to a broader pattern across the industry: organizations are scaling AI infrastructure investment faster than they can monitor and optimize it, leaving teams to estimate performance rather than measure it.
The Virtana AI Observability Platform extends AIFO across HPE AI-ready server infrastructure, correlating GPU performance with the memory, power, thermal, and reliability signals that determine whether AI workloads run efficiently. Instead of operating AI infrastructure as a black box, customers can measure, optimize, and maximize the business value of their HPE-based AI investments from day one.
The Virtana AI Observability Platform delivers the following AIFO capabilities for validated HPE AI-ready server infrastructure:
GPU and compute performance tracking measures utilization, memory consumption, and throughput across HPE AI-ready servers, identifying idle and underutilized capacity and connecting infrastructure consumption to workload output
Power and thermal intelligence monitors power draw and thermal conditions in real time, surfacing risk before it disrupts production AI workloads
Reliability monitoring identifies hardware degradation and reliability signals early, helping teams distinguish infrastructure issues from workload or orchestration problems
Data movement visibility tracks how data flows across the AI factory, correlating pipeline performance with training and inference throughput
AI capacity planning connects infrastructure consumption trends to scaling decisions, giving teams the evidence needed to plan capacity with confidence
Cost and business outcome correlation maps infrastructure consumption to AI workload costs, enabling teams to evaluate the return on their HPE AI investment
As enterprises run agentic AI workloads across distributed infrastructure, validation through the HPE Server Partner Program gives customers confidence that Virtana's observability platform is built to perform in production. That production-grade reliability is what separates a proof of concept from a system organizations can govern and optimize with confidence at scale.
About Virtana
Virtana delivers the deepest and broadest agentic observability platform for hybrid and multi-cloud environments, with full-stack AI observability spanning applications, services, data pipelines, GPUs, CPUs, networks, and storage. Powered by high-fidelity data and agentic AI, Virtana provides unmatched visibility across end-to-end IT services and AI workloads, correlating health, performance, cost, and user impact in real time. With advanced event intelligence and autonomous insight generation, Virtana delivers clarity no other provider can match.
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