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Modular: How did CUDA succeed? (Democratizing AI Compute, Part 3)

Modular · published 12 February 2025

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https://pytorch.org/
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https://www.acquired.fm/episodes/jensen-huang
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https://en.wikipedia.org/wiki/AlexNet
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https://towardsdatascience.com/how-to-co-design-software-hardware-architecture-for-ai-ml-in-a-new-era-b296f2842fe2/
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https://thechipletter.substack.com/p/googles-first-tensor-processing-unit
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https://cloud.google.com/transform/ai-specialized-chips-tpu-history-gen-ai
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https://techcrunch.com/2025/01/03/generative-ai-funding-reached-new-heights-in-2024/
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https://www.thestreet.com/investing/nvidia-first-in-line-to-reap-gains-from-massive-big-tech-spending-surge
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https://epoch.ai/blog/how-much-does-it-cost-to-train-frontier-ai-models
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FlashAttention-3: Fast and Accurate Attention with Asynchrony and Low-precision Read at the source ↗
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https://www.tomshardware.com/tech-industry/artificial-intelligence/deepseeks-ai-breakthrough-bypasses-industry-standard-cuda-uses-assembly-like-ptx-programming-instead
tomshardware.com
https://medium.com/@amin32846/unlock-warp-level-performance-deepseeks-practical-techniques-for-specialized-gpu-tasks-a6cf0c68a178
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https://nvidianews.nvidia.com/news/nvidia-blackwell-platform-arrives-to-power-a-new-era-of-computing
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Elsewhere on modular.com (1)