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Harish Arora
Lead Product Manager
Harish Arora is a Lead Product Manager at NVIDIA, based in Santa Clara, California.46 He has a strong background in technology and business, with expertise in several key areas:
Professional Experience
Harish specializes in developing business strategies and data products to help clients grow and innovate. He assists organizations in leveraging technology and data to realize business value.1 At NVIDIA, he focuses on:
- Product Management: He serves as the Lead Product Manager for Magnum IO, NVIDIA's suite of I/O acceleration libraries.23
- GPU Technology: Harish works on accelerating data movement between GPUs and storage or memory, which is crucial for high-performance computing and AI applications.2
Education and Skills
Harish holds a degree from Cornell University's Johnson Graduate School of Management4, which likely contributes to his ability to bridge technology and business strategy.
Areas of Expertise
- Transformation Programs: He has supported numerous high-profile transformation programs across investment management clients.1
- Cross-Cultural Work: Harish is passionate about working across cultures and driving diversity, equity, and inclusion (DEI) in the workplace.1
- Leadership: His interests include architecting, building, coaching, and mentoring.1
Professional Engagement
Harish is active in sharing knowledge and promoting GPU-accelerated applications. He has been involved in:
- Presenting at NVIDIA's GTC (GPU Technology Conference) on topics related to storage I/O acceleration for GPUs.23
- Sharing information about scalable GPU-accelerated hybrid applications using C++ and MPI through professional networks.5
With over 3,000 followers on LinkedIn4, Harish Arora appears to be a well-connected professional in the tech industry, particularly in the areas of GPU technology and data acceleration.
Highlights
Hi Folks, Looking forward to meet many of you at the GTC conference next week. Please register at https://lnkd.in/gXWZ9HWp.
My team is presenting four exciting sessions. You can attend in-person, virtually or view them later.
Magnum IO GPUDirect, NCCL, NVSHMEM, and GDA-KI on Grace Hopper and Hopper systems - Monday, Mar 18 10:00 AM - 10:50 AM PDT
Accelerating and Securing GPU Accesses to Large Datasets - Tuesday, Mar 19 8:00 AM - 8:50 AM PDT
Training Deep Learning Models at Scale: How NCCL Enables Best Performance on AI Data Center Networks - Tuesday, Mar 19 10:00 AM - 10:50 AM PDT
Multi GPU Programming Models for HPC and AI - Wednesday, Mar 20 2:00 PM - 2:50 PM PDT
