XLA

product on 3 shows · 3 statements across 2 episodes · said 7 times in 5 episodes since 2023

Latent Space 4 the a16z Podcast 2 WTF is with Nikhil Kamath 1

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Latent Space 4the a16z Podcast 2WTF is with Nikhil Kamath 1

2025 4 mentions in 3 episodes 1 per episode
2023 3 mentions in 2 episodes 2 per episode

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3 statements about XLA, every show

WTF Assertion Contradicted
Aravind Srinivas: Google is the only company full-stack independent of Nvidia
“The only one who's managed to do this, I would say, is Google. They built their own chips, they built their own software around it called JAX, and then they built their own accelerated linear algebra library called XLA. And then, you know, they have their own …”
Aravind Srinivas Mar 23, 2025 ▶ 1:49:04 Nikhil Kamath ft. Perplexity CEO, Aravind Srinivas | WTF Online Ep 1. · Nikhil Kamath
LATENT SPACE Assertion Supported
Hotz: Tinygrad runs all ML models with only 25 primitive operations
“Tiny grad is, we are going to make a risk offset for all ML models. And yeah, it can run all ML models with basically 25 instead of the two 50 of XLA or PrimTorch. So about 10 X less complex.”
George Hotz Jun 20, 2023 ▶ 3:51 Ep 18: Petaflops to the People — with George Hotz of tinycorp
LATENT SPACE Assertion Partly supported
Hotz: Google's TPU compiler is a closed-source 32MB binary blob
“Not only is the chip closed source, But all of XLA is open source, but the XLA to TPU compiler is a 32 megabyte binary blob called lib TPU on Google's cloud instances. It's all closed source.”
George Hotz Jun 20, 2023 ▶ 10:45 Ep 18: Petaflops to the People — with George Hotz of tinycorp

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