NVIDIA WEBINAR
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Date: October 22, 2019
Time: 11:00am – 12:00pm SGT / 2:00pm – 3:00pm AEST
Duration: 1 hour
Time: 11:00am – 12:00pm SGT / 2:00pm – 3:00pm AEST
Duration: 1 hour
With more data available than ever before for data scientists, it is crucial to have the right software and hardware solutions to get faster time to insight. The combination of NVIDIA’s CUDA-X AI GPU-accelerated software, including RAPIDS, and the new NVIDIA-powered data science workstations serve as an integrated hardware and software solution for data science that allows you to bypass traditional data center setups to get faster performance and real-world benefits.
- The variety of use cases for data science across all industries.
- The real-world value that the NVIDIA-powered data science workstations bring to data scientists.
- How NVIDIA’s CUDA-X AI accelerated data science software stack optimizes data science workflows.
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DGX Station Whitepaper
Dive deeper into the DGX Station and learn more about the architecture, NVLink, frameworks, tools and more.
Dive deeper into the DGX Station and learn more about the architecture, NVLink, frameworks, tools and more.
DGX Station Whitepaper
Dive deeper into the DGX Station and learn more about the architecture, NVLink, frameworks, tools and more.
Dive deeper into the DGX Station and learn more about the architecture, NVLink, frameworks, tools and more.
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Speaker
Anish Pandey
Lead for AI Business, ASEAN, NVIDIAAnish Pandey has 15+ years of experience working with pioneers within Asia Pacific, in adoption of accelerated computing solutions which is key for AI success. Anish is currently the regional vertical (ASEAN) leader for Enterprise Business. He has been instrumental in helping customers meet their strategic imperatives by accelerating adoption of AI solutions - internal development or external, with focus on transformation of business model, improved engagement and enhanced customer experience.. He has worked closely with major Business Conglomerates, Unicorn businesses, Universities(Research) and Government agencies on SMART Nation projects. Prior to Nvidia Anish has worked with Hewlett Packard (HP) and Advance Micro Devices (AMD) supporting and engaging with large enterprise customers. Anish is a MBA from Xavier Institute, India and is a gold medalist.
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