Today we are facing new classes of data centers (AI Clouds and AI Factories) that require both accelerated computing and high-performance networking to support artificial intelligence (AI). As a result, the landscape of today’s hyperscale and cloud deployments is changing considerably. With the adoption of GPU-accelerated computing architectures, AI researchers and practitioners can harness the power of distributed accelerated computing that would otherwise be infeasible.
