Embracing Generative AI with a Multi-Cloud Approach: Leaders Envision the Potential
With its powerful pattern recognition and data analysis capabilities, generative AI is creating waves across industries from healthcare to finance. However, businesses looking to adopt this technology face challenges related to security, data privacy and infrastructure.
Traditional data centers often struggle to handle the demanding requirements of advanced AI workloads, raising concerns about capacity and suitability for the modern digital landscape. A multi-cloud strategy could be the solution.
Watch these interviews with VMware customers sharing their reasons for moving AI to the cloud.
Embracing Generative AI with a Multi-Cloud Approach: Leaders Envision the Potential
published by CoreHive Computing
Established in 2003, CoreHive Computing is a technology consulting and solution provider offering a wide range of IT services for public and private enterprise clients. We specialize in handling large, mission-critical, complex projects designed to provide innovative, cost effective solutions to our clients.
CoreHive helps clients design, build, and execute highly complex and compute-intensive tasks in real-time with High Performance Computing Infrastructure. We develop, deploy, and manage HPC clusters which include Hadoop, Bigdata, HPC on the Cloud, and Application Analysis using intelligent interconnected solutions for services, storage, and hyper-converged infrastructure.
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