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Compute | New York // Major Panel: Win the race to scale - How can data centers keep up with rising compute, storage, and networking needs in the AI boom?

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  • Compute Main Stage
  • Compute
  • Storage
  • Networking
  • Open Session

Speakers

Srivatssan Srinivasan

Srivatssan Srinivasan

Gen AI Technology Leader, Independent Thought Leader

Darrick Horton

Founder & CEO, Tensorwave

Darrick_Horton

Darrick Horton

Founder & CEO, Tensorwave

Darrick Horton is the Founder and CEO of TensorWave, a leading AI compute and cloud solutions company based in Las Vegas, Nevada. As a serial entrepreneur, Darrick has successfully founded and led several technology startups, focusing on data center, cloud infrastructure, and semiconductor technology. His career also includes experience on Lockheed Martin’s Skunk Works team, where he worked on nuclear fusion. Prior to that, he contributed to several research projects including NASA-funded plasma physics research as well as astrophysics research with the LIGO project.

Beyond his professional achievements, Darrick has served as the President of Engineers Without Borders, where he dedicated his efforts to supporting the development of disadvantaged communities worldwide.

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DCD>Debate: NVIncible - Can the current chip monopoly be challenged?

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  • Compute Main Stage
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Jay Dawani

Founder & CEO, Lemurian Labs

Jay Dawani

Jay Dawani

Founder & CEO, Lemurian Labs

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Major Panel: Reading between the lines: Striking the XPU/GPU/CPU balance to adapt to AI inference workloads?

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Imran Latif

Chief Operations Officer - Scientific Data & Computing Center, Brookhaven National Laboratory (BNL)

Imran_Latif

Imran Latif

Chief Operations Officer - Scientific Data & Computing Center, Brookhaven National Laboratory (BNL)

Imran Latif is an engineering executive, presently, Chief Operations Officer at the US Dept of Energy Office of Science at Brookhaven National Lab where he leads the Infrastructure Operations of High Performance Computing Centers supporting the Global cutting-edge research collaborations on Physics, Life Sciences, Quantum, AI and HPC. Imran has over 20 years of leadership experience delivering large scale engineering, construction and sustainability projects.

Imran leads worldwide sustainability research with leading academia and tech companies. The research work is focused on solving the real-life energy issues in the mission critical facilities and developing the AI and ML based technologies to automate the sustainability processes. He is a subject matter expert in direct to chip and immersion cooling in data centers.

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Sean Varley

Chief Evangelist, VP of Business Development, Ampere

Sean_Varley

Sean Varley

Chief Evangelist, VP of Business Development, Ampere

Sean Varley is the Chief Evangelist and leader of ecosystem development and partner programs at Ampere. His group is responsible for go to market, messaging, strategy and execution of developer and partner ecosystem growth programs. The team covers marketing strategy, strategic business relationships, business planning and developer recruitment for Cloud Native Computing in the rapidly evolving Cloud and Edge server markets. Our goal is to provide Products and Solutions that showcase the disruptive advantage our unique Cloud-Native server processors provide to the market.

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David McCall

VP of Innovation, QTS Data Centers

David_McCall

David McCall

VP of Innovation, QTS Data Centers

David McCall is the VP of Innovation for QTS Data Centers. He is responsible for building teams, setting strategic goals, and serving as an evangelist for one of largest and fastest growing data center service providers in the United States. He has more than 14 years of solutions engineering experience in the data center, telecommunications, and internet technology industries.

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Closing DCD > Talks: Between a rock and hard-ware place: How to stay ahead of obsolescence despite rising costs

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  • Compute
  • Storage
  • Networking
  • Open Session
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As AI workloads continue to grow, data centers require more memory, more computing power, and lower latency networking, forcing massive refreshes of hardware that risk disrupting regular operations and imposing huge costs. Organizations of all shapes and sizes race to build, train and test AI models for all sorts of purposes, pushing compute and storage capacities to their very limits.

Will AI move too fast for hardware to handle? Will energy supply be the true ceiling? Or will hardware evolution smash all barriers?

Join our first panel of Day 2 as we explore:

  • Power Potential: What improvements in computing power are going to maximize performance in the year when inference is king?
  • Running on empty: What can the industry do to ahead of the rising energy demand as hardware energy consumption outruns supply?
  • Fit to burst: How can you secure scalable storage solutions for ever-higher data volumes that don’t sacrifice reliability, maintainability and fault tolerance?