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Explore the future of AI processing in this 17-minute conference talk from the Toronto Machine Learning Series. Discover how traditional processors are reaching their limits for AI model development and learn about innovative solutions being developed by companies like Tenstorrent. Gain insights into new processing architectures designed specifically for machine learning workloads, from edge computing to data centers. Understand the challenges faced in training large transformers with massive datasets and how these are being addressed. Consider the implications for demanding ML applications in the financial sector. Ideal for machine learning strategists, technologists, and anyone interested in the evolving landscape of AI hardware and its impact on future AI capabilities.
