
Horovod
Uber’s open source distributed Deep Learning framework
Horovod launched on October 18, 2017 with 89 votes, #516 of 3,169 launches that month and more than 75% of that year's launches. The site was not reachable when checked in September 2026.
What it does
Horovod is a distributed training framework for TensorFlow. The goal of Horovod is to make distributed Deep Learning fast and easy to use.
Does a similar job
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Neuropod – Uber ATG's open source deep learning inference engine2020 · github.com · ▲80A uniform interface to run deep learning models from multiple frameworks - uber/neuropod
DeepSeek-V3.12025 · chat.deepseek.com · ▲417The best-performing and best of value open-source AI model
Netmind Power2023 · netmind.ai · ▲272Hi HN, We just opened public access to Qwen3‑Coder‑480B‑A35B‑Instruct via a REST/SDK API. Why it might be interesting: - Fully open-source (Apache‑2.0): https://github.com/QwenLM/Qwen3-Coder - 480B params (35B active MoE), long context up to 1M tokens with YaRN - Matches Claude Sonnet/GPT‑4o on SWE-Bench Verified (81.6%) - Free tier: 100K tokens/month
Initial release of the distributed TensorFlow runtime2016 · github.com · ▲85An Open Source Machine Learning Framework for Everyone - tensorflow/tensorflow/core/distributed_runtime at master · tensorflow/tensorflow

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