... requirement The rapid adoption of frontier AI models, AI agents and physical AI is increasing pressure on compute resources. Leaders must shift from retrospective expense monitoring to active compute-cost prevention for humans and agents. Gartner recommends a three-pronged approach that includes enforcing ...
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... choice of compute for AI infrastructure. Custom silicon is a debatable viable alternative to GPUs, especially as inference is expected to dominate training in the next phase of AI. Product leaders must leverage the 10 key factors in this research to make this critical and urgent bet on compute. Overview ...
... Gartner client? Many companies currently rely on AI solutions developed by American or Chinese providers and delivered as SaaS through the cloud. However, as with other cloud based services, there is an inherent risk that these services may not always remain available under the same conditions in the future ...
... engineering. Architecture Brief Architecture Use Cases Architecture Diagram Architecture Capabilities & Components Data Center Networks Cloud Networking Backbone Services and Cloud Private Access SASE SSE Internet and Private WAN Underlay Campus and Branch Networks NetOps Platforms and Tools Key Architecture ...
... Access Insights Already a Gartner client? Cloud economics at scale, cloud migrations, pricing power, and cross-sell and upsell motions led to successful growth for ERP vendors amid a challenging environment. Generative and agentic AI helped drive discussions with customers, but were not the main reason ...
Analyst(s): Dennis Gaughan | Akshita Joshi | Chris Pang | Deepali .
... certifications and has previously held certifications from Cisco (CCNP), Foundry and Nortel. SASE SDWAN cloud networking multicloud networking data center networking network automation Infrastructure Security| AI, Cloud and Data Center Infrastructure M.S., Telecommunications, George Mason University B.S., Decision ...
... responsible for networking and cloud operations should use this research to better understand how to simplify multicloud networks. Overview Strategic Planning Assumptions Introduction Analysis Gartner Recommended Reading Note 1: Multicloud Computing Note 2: Comparison of “To the Cloud” Options Note 3: MCNS Features ...
... fragmented systems and fragile pipelines as AI scales. For long-term success, build robust foundations in engineering architecture, data management and compute infrastructure. Use these insights to formalize capabilities and advance critical areas across data and engineering. Action Name Gartner Research ...
... Access Research Already a Gartner client? Escalating AI and high-performance compute energy demand threaten data center scalability and competitiveness. AI infrastructure product leaders must act now and prioritize energy-efficient software optimizations for inferencing to ensure sustainable, cost-effective ...