Google Cloud TPUs

What it does

Announcing that our second-generation Tensor Processing Units (TPUs) will soon be available for Google Cloud customers who want to accelerate machine learning workloads.

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  Tensorflow Research Cloud2017 · sites.research.google · ▲288

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  Google Cloud Machine Learning2016 · cloud.google.com · ▲11

  Fast, large scale and easy to use Machine Learning services.

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  Tune LLaMa3.1 on Google Cloud TPUs2024 · github.com · ▲189

  Hey HN, we wanted to share our repo where we fine-tuned Llama 3.1 on Google TPUs. We’re building AI infra to fine-tune and serve LLMs on non-NVIDIA GPUs (TPUs, Trainium, AMD GPUs). The problem: Right now, 90% of LLM workloads run on NVIDIA GPUs, but there are equally powerful and more cost-effective alternatives out there. For example, training and serving Llama 3.1 on Google TPUs is about 30% cheaper than NVIDIA GPUs. But developer tooling for non-NVIDIA chipsets is lacking. We felt this pain ourselves. We initially tried using PyTorch XLA to train Llama 3.1 on TPUs, but it was rough: xla…

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  Google Cloud Repositories2015 · docs.cloud.google.com · ▲105

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  Paperspace for Machine Learning2016 · ▲152

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