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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

Link
Host
Modular: How did CUDA succeed? (Democratizing AI Compute, Part 3) Read at the source ↗
modular.com
https://dev-discuss.pytorch.org/t/where-do-the-2000-pytorch-operators-come-from-more-than-you-wanted-to-know/373
dev-discuss.pytorch.org
https://en.wikipedia.org/wiki/Matrix_multiplication
en.wikipedia.org
https://en.wikipedia.org/wiki/Activation_function
en.wikipedia.org
Modular: CUDA is the incumbent, but is it any good? (Democratizing AI Compute, Part 4) Read at the source ↗
modular.com
https://horace.io/brrr_intro.html
horace.io
https://tvm.apache.org/
tvm.apache.org
https://tqchen.com/
tqchen.com
https://www.cs.washington.edu/people/faculty/luis-ceze/
cs.washington.edu
https://arxiv.org/abs/1802.04799
arxiv.org
https://www.forbes.com/sites/janakirammsv/2024/09/30/nvidia-acquires-octoai-to-dominate-enterprise-generative-ai-solutions/
forbes.com
https://tvm.apache.org/2017/10/06/nnvm-compiler-announcement
tvm.apache.org
Modular: What about OpenCL and CUDA C++ alternatives? (Democratizing AI Compute, Part 5) Read at the source ↗
modular.com
https://github.com/apache/tvm/graphs/contributors
github.com
https://cloud.google.com/tpu/docs/intro-to-tpu
cloud.google.com
https://blog.google/products/google-cloud/google-cloud-offer-tpus-machine-learning/
blog.google
https://opensource.googleblog.com/2024/12/a-robust-open-ecosystem-accelerating-ai-infrastructure.html
opensource.googleblog.com
https://jax-ml.github.io/scaling-book/
jax-ml.github.io
https://openxla.org/stablehlo
openxla.org
https://opensource.googleblog.com/2023/03/openxla-is-ready-to-accelerate-and-simplify-ml-development.html
opensource.googleblog.com
https://openxla.org/stablehlo/governance
openxla.org
https://github.com/openxla/community/graphs/contributors
github.com
https://x.com/openxla
x.com
https://github.com/deepseek-ai/DeepGEMM
github.com
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
docs.jax.dev
Modular: What about OpenCL and CUDA C++ alternatives? (Democratizing AI Compute, Part 5) Read at the source ↗
modular.com
https://killedbygoogle.com/
killedbygoogle.com