Скачать или смотреть AI's Future: Meta & AMD's Next-Gen Roadmap

AI is revolutionizing industries and creating unprecedented demand for computing infrastructure. But it's not just about the size of the demand; the type of AI workload is evolving at breakneck speed.

While pre-training was once the primary focus, we're now witnessing the rapid rise of test-time inference, reinforcement learning, and other computationally intensive workloads. The emergence of Mixture of Experts (MoE) models is also placing significant demands on network interconnection speeds and collective communication primitives. These architectures require incredibly fast and efficient communication between processing units.

Beyond the buzz of generative AI, even established systems like recommendation engines are growing increasingly complex, further amplifying the need for advanced hardware and networking solutions.

These rapid changes mean that companies like Meta and AMD are collaborating more closely than ever before to define the future of accelerators and network roadmaps. This partnership is crucial for staying ahead of the curve and ensuring that infrastructure can handle the ever-evolving demands of AI.

This conversation highlights the importance of flexibility and adaptability in the face of rapid technological advancement. Understanding these emerging trends is vital for anyone involved in AI development, infrastructure, or investment.

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