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Modular: What about TVM, XLA, and AI compilers? (Democratizing AI Compute, Part 6)

Modular · published 12 March 2025

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10 Oct 2025
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10 Oct 2025
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easydiffusion.github.io
Post from Oct 10, 2025 Read at the source ↗
10 Oct 2025

Links from this post

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Host
https://dev-discuss.pytorch.org/t/where-do-the-2000-pytorch-operators-come-from-more-than-you-wanted-to-know/373
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https://en.wikipedia.org/wiki/Matrix_multiplication
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https://en.wikipedia.org/wiki/Activation_function
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https://horace.io/brrr_intro.html
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https://tvm.apache.org/
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https://tqchen.com/
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https://www.cs.washington.edu/people/faculty/luis-ceze/
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https://arxiv.org/abs/1802.04799
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https://www.forbes.com/sites/janakirammsv/2024/09/30/nvidia-acquires-octoai-to-dominate-enterprise-generative-ai-solutions/
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https://tvm.apache.org/2017/10/06/nnvm-compiler-announcement
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https://github.com/apache/tvm/graphs/contributors
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https://cloud.google.com/tpu/docs/intro-to-tpu
cloud.google.com
https://blog.google/products/google-cloud/google-cloud-offer-tpus-machine-learning/
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https://opensource.googleblog.com/2024/12/a-robust-open-ecosystem-accelerating-ai-infrastructure.html
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https://jax-ml.github.io/scaling-book/
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https://openxla.org/stablehlo
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https://opensource.googleblog.com/2023/03/openxla-is-ready-to-accelerate-and-simplify-ml-development.html
opensource.googleblog.com
https://openxla.org/stablehlo/governance
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https://github.com/openxla/community/graphs/contributors
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https://x.com/openxla
x.com
https://github.com/deepseek-ai/DeepGEMM
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https://github.com/deepseek-ai/DeepEP
github.com
https://docs.vllm.ai/en/stable/features/quantization/supported_hardware.html
docs.vllm.ai
https://docs.jax.dev/en/latest/pallas/index.html
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https://killedbygoogle.com/
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