Artificial Intelligence (AI) is transforming organizations, but to gain widespread adoption and spark innovation requires standardization, cost management, and governance. Unfortunately, many enterprises struggle with all three. The sprawl of diverse tools and technologies across organizations often results in inconsistent experiences between groups and scaling pilots into production can be difficult.
Managing AI costs remains a major challenge for many IT leaders as new projects can rapidly grow out of control. Selecting, building, and integrating robust infrastructure needed for AI can become a budget buster, especially in on-premises environments. As for governance, companies often silo their AI efforts or spread them out across teams without sufficient oversight from IT.
The Power of “AI-first” Infrastructure
A purpose-built, end-to-end optimized AI environment based in the cloud can address all three requirements effectively. Standardizing on clouds, tools and platforms such as NVIDIA AI Enterprise replaces an eclectic sprawl of diverse technologies across the organization with an optimized end-to-end environment that works together seamlessly – much like standardized virtualization or database solutions.
An enterprise’s workload determines the optimization of its infrastructure; smaller footprints lower costs dramatically while still accelerating processing of AI workloads by reducing training times through economies-of-scale purchasing and integration.
Simplifying Cost Control and Governance
The simplified management offered by standardized platforms also brings about culture changes centered around innovation within a company because it opens up access to more teams who can conceptualize their own ideas within a secure ecosystem. With full visibility into who is making purchases and what they are buying alongside crucial metrics including cost audits provided with each platform’s solution enables IT to retake overall spending accountability for auditability and regulatory compliance while safeguarding the confidentiality of business-critical data against bad actors.
Making AI Accessible Across The Organization
Dedicated standardized platforms help accelerate time-to-market by halting chaos-driven reinvention projects before they start because this unified approach empowers more people to use AI without starting from scratch every time they do so. It’s critical for businesses looking toward the future wave of technology need bet on an all-in-one platform that will deliver across the board if they want to stay ahead competitively among industry peers – so find out how dedicated infrastructure unlocks innovation at any level within your enterprise today!