Mehul Patel Appointed Vice President, India Strategic Accounts – AI & Cloud at DDN

Mehul Patel has been appointed as Vice President, India Strategic Accounts – AI & Cloud at DDN, strengthening the company’s leadership presence in India as enterprise demand for AI infrastructure, cloud platforms, and high-performance data solutions continues to accelerate.

In his new role, Patel will focus on driving strategic enterprise growth, expanding key customer relationships, accelerating AI and cloud adoption, and strengthening DDN’s engagement with large enterprises, hyperscalers, and AI-driven organizations across India.

He brings extensive experience spanning enterprise sales, AI infrastructure, cloud technologies, strategic accounts, GTM leadership, and business expansion across several leading global technology companies.

Prior to joining DDN, Patel served as Head of Sales, India at Groq. Over the course of his career, he has also held senior leadership roles at DevRev, Snowflake, ServiceNow, Brocade, Red Hat, Aegis Tech Ltd., AGC Networks Limited, Wipro, Wipro Networks Pte Ltd, HCLTech, and Enkay Technologies India Pvt. Limited.

Across these organizations, he built deep expertise in enterprise technology sales, cloud transformation, AI platforms, strategic partnerships, enterprise account management, and large-scale business development across the Indian and international technology markets.

Industry analysts believe leadership appointments focused on AI and cloud infrastructure are becoming increasingly important as organizations globally accelerate investments in generative AI, GPU infrastructure, high-performance computing, enterprise data platforms, and AI-native cloud ecosystems.

DDN (DataDirect Networks) is a global AI and data intelligence company specializing in high-performance data infrastructure for AI, cloud, and large-scale enterprise workloads. The company supports hyperscalers, enterprises, governments, and research institutions with AI data platforms designed to power large-scale GPU environments, accelerate AI training and inference, and optimize high-performance computing infrastructure.

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