Doruk Arisoy darisoy

Achievements

darisoy/README.md

Cloud TPU training performance on JAX through MaxText
Previously:
- Cloud TPU NPI: ML model optimization and benchmarking
- Cloud TPU API and GeoExpansion lead

Deployments: Hurricane Helene (2024), Lahaina Wildfires (2023), Hurricane Ian (2022)

AI-Hypercomputer/maxtext AI-Hypercomputer/maxtext Public

A simple, performant, and scalable Jax LLM!

Python 2.5k 645
GoogleCloudPlatform/ml-testing-accelerators GoogleCloudPlatform/ml-testing-accelerators Public

Testing framework for Deep Learning models (Tensorflow and PyTorch) on Google Cloud hardware accelerators (TPU and GPU)

Jsonnet 64 60
AI-Hypercomputer/accelerator-microbenchmarks AI-Hypercomputer/accelerator-microbenchmarks Public

TPUMS (TPU Microbenchmark Suite) is a modular, high-fidelity benchmarking and profiling framework designed to evaluate the compute, memory, and interconnect performance of Cloud TPUs using JAX.

Python 40 44

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