Manage your AI infrastructure with confidence

[Cloud_Experts]

By Taruna Gandhi, Head of Marketing, HPE OpsRamp Software

As organizations increasingly turn to large-scale accelerated computing systems for their AI needs, efficient management of these environments has become crucial. To help enterprises achieve the desired ROI, HPE has introduced an innovative AI infrastructure optimization solution that combines the expertise of HPE Services with the power of HPE OpsRamp software. This new approach promises to streamline and enhance how enterprise IT teams deploy, monitor and optimize the performance of distributed AI workloads, providing complete visibility across hybrid deployments as well as deep observability insights, resource management, and process automation capabilities.

HPE OpsRamp is a comprehensive SaaS solution designed for enterprises developing expansive AI and accelerated computing infrastructure. It offers full-stack observability, AI-powered analytics and event management, and workflow automation of AI workloads. Its deep integrations with NVIDIA infrastructure, including NVIDIA accelerated computing, NVIDIA Quantum InfiniBand and Spectrum-X Ethernet networking, and NVIDIA Base Command Manager provide granular insights into AI infrastructure metrics to help enterprise IT teams:

• Identify malfunctioning GPUs, thermal throttling or underutilized resources by monitoring temperature, utilization (GPU-Util), memory usage (FB-Mem-Util), power consumption, clock speeds, and fan speeds.
• Identify imbalances, optimize job scheduling and ensure efficient resource utilization by monitoring GPU and CPU utilization across the cluster.
• Proactively resolve potential issues by automating responses to certain events, such as reducing the GPU's clock speed or even powering it down to prevent damage, scaling of resources based on workload demands, as well as automated patching and upgrading of operating systems and software on compute nodes.
• Predict future resource needs and optimize resource allocation by analyzing historical performance and utilization data.
• Identify opportunities to optimize costs by monitoring power consumption and resource utilization, which is especially critical in large AI deployments where energy costs can be substantial.

HPE OpsRamp can monitor not just GPU performance, but it can also monitor, manage, and automate operations across multi-vendor distributed servers, storage, network resources and even public cloud environments – all from a single command center. HPE OpsRamp helps enterprises enhance operational efficiencies, optimize costs, and quickly pinpoint and resolve bottlenecks for improving performance – from application to supporting infrastructure.

Combined with the expertise of HPE service experts, HPE’s solution offers a fully integrated experience, enabling users to benefit from comprehensive performance monitoring, intelligent alerting, automated resource management, and data-driven analytics. Organizations can now confidently manage their complex AI environments with a single, trusted provider, transforming AI infrastructure management from a challenge into a streamlined process.

For more insights into how HPE can help streamline and drive ROI for your AI deployments, check out HPE’s Artificial Intelligence (AI) solutions today.

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Meet HPE Blogger Taruna Gandhi, Head of Marketing, HPE OpsRamp Software

Taruna Gandhi is the head of marketing for HPE OpsRamp Software, focusing on cloud management and operations. Taruna is passionate about helping customers simplify and automate IT operations, accelerate cloud evolution, and use latest AI and ML technologies to solve business issues. Prior to joining OpsRamp, Taruna held multiple leadership positions in product and technical marketing, product management and software development at companies such as PureStorage, VMware, and Redhat. Taruna holds an MS in Computer Engineering and an MBA from Haas School of Business at University of California, Berkeley.

Cloud Services Experts
Hewlett Packard Enterprise

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