Managing Hyperscale: AI Enters The Data Center скачать в хорошем качестве

Managing Hyperscale: AI Enters The Data Center

https://www.vlab.org/events/managing-... October 17, 2017, 6:00 pm at SRI International in Menlo Park. Moderator: Ravi Belani, Fenwick & West Lecturer of Entrepreneurship at Stanford University and Managing Director of Alchemist Accelerator Panelists: Scott Noteboom,Founder and CEO, LitBit Val Bercovici, Founder and CEO, PencilDATA Tom Vo, Director of Engineering, Ericsson Supdip Chakrabarti, Partner, Lightspeed Venture Partners Event Team: Chairs: Wen-Pai Lu, K Y Narasimhan Team: Anna Pasupathy, Hira Dango, Fred Stein, Jinglun Zhang --------------------- Entrepreneurs and established companies alike are exploring a new frontier for AI — The Data Center. Data consumption is increasing at an unprecedented rate as the adoption of enterprise and consumer applications in IoT, cloud computing, autonomous vehicles, and online collaboration tool go mainstream. To keep up with the demand, data center operators may run 100,000 servers in a single location. Managing critical infrastructure at hyperscale is an expensive challenge that requires skilled IT staff. Artificial intelligence is now providing solutions that allow companies to control costs by optimizing energy consumption, monitoring performance, and even enhancing call center support more efficiently. AI has entered the data center. According to Stratistics MRC, the Global Hyperscale Data Center market is expected to grow from $20.24 billion in 2016 to reach $102.19 billion by 2023 with a CAGR of 26.0%. Startups along with big players including AWS, Equinix, and Ericsson are all running hard to get the edge over the competition. In this new frontier: *Will startups develop AI solutions that disrupt established companies? *Which trends will lead the industry? *Will AI deliver on the promise of more efficient data center operations?