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Dev tools · alternatives · 2026

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Inferrd v2.0 is a deployment tool for TensorFlow models. It simplifies the process of putting machine learning models into production, making it accessible to developers who need to serve TensorFlow applications… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. The easiest way to deploy TensorFlow – Inferrd v2.0 launched in 2021; newer entries below may have overtaken it.

  1. 1
    Inferless▲749

    Deploy any machine learning models in minutes

    2025 · inferless.com · its alternatives →

  2. 2DS
  3. 3

    Open-source machine learning library by Google

    2017 · tensorflow.org · its alternatives →

  4. 4

    :satellite: Simple and ready-to-use tutorials for TensorFlow - GitHub - instillai/TensorFlow-Course: :satellite: Simple and ready-to-use tutorials for TensorFlow

    2018 · github.com · its alternatives →

  5. 5

    Hi HN! We're Gabriel & Viraj, and we're excited to open source TensorZero. To be a little cheeky, TensorZero is an open-source platform that helps LLM applications graduate from API wrappers into defensible AI products. 1. Integrate our model gateway 2. Send metrics or feedback 3. Unlock compounding improvements in quality, cost, and latency It enables a data & learning flywheel for LLMs by unifying: • Inference: one API for all LLMs, with <1ms P99 overhead • Observability: inference & feedback → your database • Optimization: better prompts, models, inference strategies • Experimentation:…

    2025 · github.com · its alternatives →

  6. 6

    Deploying vision models is time consuming and tedious. Setting up dependencies. Fixing conflicts. Configuring TRT acceleration. Flashing (and re-flashing) NVIDIA Jetsons. A streamlined, developer-friendly solution for inference is needed. We, the Roboflow team, have been hard at work open sourcing Inference, an open source vision deployment solution. Our solution is designed with developers in mind, offering a HTTP-based interface. Run models on your hardware without having to write architecture-specific inference code. Here's a demo showing how to go from a model to GPU inference on a video…

    2023 · github.com · its alternatives →

  7. 7

    Accelerating open machine learning research with Cloud TPUs

    2017 · sites.research.google · its alternatives →

  8. 8

    :satellite: Organized & Useful Resources about Deep Learning with TensorFlow - astorfi/TensorFlow-World-Resources

    2019 · github.com · its alternatives →

  9. 9

    Help teams apply machine learning to real-world applications

    2017 · its alternatives →

  10. 10

    Deploy a ML inference service on a budget in less than 10 lines of code. - ebhy/budgetml

    2021 · github.com · its alternatives →

  11. 11
    Inferock▲263

    Serverless inference, with credits back for failed calls.

    24d ago · inferock.ai · its alternatives →

  12. 12

    Open-source machine learning library by Google

    2018 · tensorflow.org · its alternatives →

  13. 13

    AI Infra / AI Orchestration / AI Control Plane. Contribute to polyaxon/polyaxon development by creating an account on GitHub.

    2017 · github.com · its alternatives →

  14. 14CI
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    Hey HN, We just recently launched Forge – an AI model API platform that lets you access and call AI models from multiple providers in one place. Find it on our website: https:&#x2F;&#x2F;tensorblock.co&#x2F;forge Some key features: Unified API Key – Store multiple provider API keys and access all with a single Forge API key. OpenAI API Compatible – Drop-in replacement for any application that uses OpenAI’s API. Advanced Security – Strong Encryption for API keys with JWT-based authentication. Client Management – Easy key and user management via included command-line interface. Open-source –…

    2025 · tensorblock.co · its alternatives →

  16. 16

    :satellite: Organized & Useful Resources about Deep Learning with TensorFlow - astorfi/TensorFlow-World-Resources

    2018 · github.com · its alternatives →

  17. 17

    An on-premises, bare-metal solution for deploying GPU-powered applications in containers - emergingstack/es-dev-stack

    2016 · github.com · its alternatives →

  18. 18

    An Open Source Machine Learning Framework for Everyone - tensorflow/tensorflow/core/distributed_runtime at master · tensorflow/tensorflow

    2016 · github.com · its alternatives →

  19. 19

    Low-latency inference of on-device ML models

    2017 · developers.google.com · its alternatives →

  20. 20

    A uniform interface to run deep learning models from multiple frameworks - uber/neuropod

    2020 · github.com · its alternatives →

  21. 21

    Deploy your machine learning model in a single line of code.

    2020 · its alternatives →

  22. 22

    Simple and comprehensive tutorials in TensorFlow. Contribute to easy-tensorflow/easy-tensorflow development by creating an account on GitHub.

    2018 · github.com · its alternatives →

  23. 23
    Banana▲235

    Serverless GPUs for Machine Learning inference

    2022 · banana.dev · its alternatives →

  24. 24

    Hi HN, We just opened public access to Qwen3‑Coder‑480B‑A35B‑Instruct via a REST&#x2F;SDK API. Why it might be interesting: - Fully open-source (Apache‑2.0): https:&#x2F;&#x2F;github.com&#x2F;QwenLM&#x2F;Qwen3-Coder - 480B params (35B active MoE), long context up to 1M tokens with YaRN - Matches Claude Sonnet&#x2F;GPT‑4o on SWE-Bench Verified (81.6%) - Free tier: 100K tokens&#x2F;month

    2023 · netmind.ai · its alternatives →

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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →