AI Infrastructure Planning
Thorough and ongoing infrastructure planning and monitoring is critical to ensuring the overall performance of your environment. Successful planning goes beyond research and the numbers. In a market saturated with vendors and fast-evolving solutions, companies need the perspective to evaluate their existing network and future requirements objectively.
Diligent planning backed by the right data from Galileo Performance Explorer yields more efficient and cost-effective consolidation, migrations and transformations, and also lead to better long-term performance and higher returns.
The new foundation for business decisions is AI.
Enterprises throughout the world are capitalizing on the proliferation of big data, mobile devices and our always-on, digital culture. Deep learning and Artificial Intelligence (AI) are game-changers for business decision-making and is helping organizations differentiate themselves from their competition. AI technology is evolving faster than expected and is already surpassing human decision-making in certain instances. And sometimes, in ways we can’t even explain! While many are alarmed by this, AI is producing some of the most effective and dramatic results in business today. Enterprises are eager to take advantage of AI technologies as a means to introduce new services and enhance insights from company data.
Performance always matters.
However, many overlook the fact that AI and deep learning are extremely demanding on server infrastructure, which brings up many important questions…
- Should businesses develop in-house or use VARs, systems integrators, or consultants?
- Should they deploy on-premise, in the cloud, or in some hybrid form?
- Can they use existing infrastructure, or do AI applications and deep learning require new servers with new capabilities?
Many take the first step by experimenting with AI software on their existing infrastructure. As teams move past their proof of concepts and begin to operationalize deep learning and AI, many start to experience issues. They are struggling to deliver the necessary performance to optimally utilize their new insights. The data flow necessary for successful AI isn’t isolated to the data center. As enterprises of all types embrace IoT and AI technologies, they face challenges from edge to core to cloud.
AI requires powerful parallel processing and investigating new solutions during the early experimental phase of AI development is critical for infrastructure teams. AI users will (at some point) have to overhaul their infrastructure to achieve required performance capabilities.
Galileo explores new horizons through performance monitoring.
Because complex IT environments make performance management a difficult and expensive task, enterprises need a single solution that provides intelligent predictive analytics to inform and pinpoint potential problems before they occur and to empower better decision-making. Experimentation with server infrastructure to run these new workloads is quick and intuitive with Galileo Performance Explorer, yielding data for specific configurations, CPU characteristics and I/O capabilities.
IT organizations must take a proactive approach to their AI infrastructure optimization in order to meet the needs of internal stakeholders. By analyzing patterns and trends in data, IT can optimize utilization, increase agility and meet time-to-market pressures. In doing so, IT teams can effectively balance maintenance with innovation and drive the digital initiatives that propel business growth.
Unlike reactive performance monitoring tools that inform after an overload occurs, Galileo Performance Explorer is designed for proactive system management where accurate predicting simplifies planning for future capacity needs. To save time and quickly identify vital assets, Galileo provides configuration management tools that help access device information, configuration changes and code levels.
What do our customers say?
Galileo’s IT dashboards act as a crystal ball across our IT enterprise. We’ve already dramatically reduced our decision-making time.
We are better able to defer new storage hardware purchases and balance our storage needs across what we already own.
At a high-level view, I can see the entire enterprise at a glance. Galileo’s Enterprise Dashboard is shaping the data for me, showing me what to drill down on and what to look at.