The AI Hardware Race
AI is surging ahead, but its future hinges on the race to scale neural networks and their underlying hardware. Four AI experts share an insider’s view to the challenges ahead.
Our Interviews
On Building AI Storage Systems
NVIDIA’s Chief Platform Architect on Scaling AI
Meet the People
Amber Huffman
Principal Engineer at Google Cloud
Amber Huffman is a principal engineer at Google Cloud, leading industry engagement efforts in the data center ecosystem. She is on the board of multiple open source and industry organizations and has led numerous industry standards to successful adoption.
Robert Ober
Chief Platform Architect at NVIDIA
Robert Ober is the chief platform architect of NVIDIA’s data center products. He works with global hyperscale data centers to architect AI clusters, including some of the largest deployed, and influence NVIDIA’s hardware and software platform roadmaps.
Ravi Shankar Goli
Lead Principal Software Engineer at Microsoft
Ravi Shankar Goli is a lead principal software engineer at Microsoft, developing a new generative AI product. He recently completed a second master’s degree focused on AI and is helping to nurture the next generation of innovators through volunteering.
Niall MacLeod
Director of Applications Engineering at Western Digital
Niall MacLeod is the director of applications engineering for Western Digital storage platforms. He specializes in disaggregated storage using NVMe over Fabrics (NVMeoF) architectures for machine learning and AI workloads.