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Head to head · 2026

Apache SINGA vs Konduit

Pricing, free plans, ratings, features, pros and cons, side by side. Where one comes out ahead, we mark it.

Apache SINGA

Open-source distributed deep learning library - automatic gradient calculation and multi-GPU training, in real-world use at…

3.6Free

Visit Apache SINGA (opens Apache SINGA in a new tab)

Konduit

Run PyTorch, TensorFlow, Keras and ONNX models wherever you need them - cloud, on-premise, edge or…

3.7Not listed

Visit Konduit (opens Konduit in a new tab)

Who comes out ahead

Based only on the facts in our directory. The right pick still depends on the job you need done.

  • Lower starting price

    Not comparable

    Not comparable: Apache SINGA does not list a price

  • Free plan

    Apache SINGA

    Only Apache SINGA has one

  • Higher rating

    Konduit

    3.6 against 3.7

  • Same job?

    Yes

    Both are AI Infrastructure & Agent Tooling tools

Side by side

Compared onApache SINGAKonduit
Our rating3.63.7Better
Starts atFreeNot listed
Free planYesBetterNo
CategoryAI Infrastructure & Agent ToolingAI Infrastructure & Agent Tooling
PlansFreeSee pricing
Key features
  • Distributed deep learning training across multiple GPUs
  • Automatic gradient calculation and computational graph optimization
  • Standard optimizer support (Adam, SGD, RMSProp, AdaGrad)
  • ONNX format interoperability
  • Real-world deployment at NUS, Alibaba, and Citigroup
  • Model deployment across cloud, on-premise, edge and mobile
  • Framework support: PyTorch, TensorFlow, Keras, ONNX
  • Konduit Serving for model-serving infrastructure
  • Kompile for model compilation
  • Built on the open-source Eclipse Deeplearning4j ecosystem
Pros
  • Genuine enterprise and academic deployment, not just an unused research project
  • Actively maintained Apache Top Level Project with current releases
  • Free and open-source with multiple installation options
  • Framework-agnostic - not locked to whatever one training framework a team uses
  • Built on an open ecosystem, not a purely proprietary black box
  • Covers deployment targets from cloud down to edge and mobile
Cons
  • A code library, not a hosted product - no dashboard or signup
  • Requires real ML/deep-learning infrastructure expertise to use effectively
  • No managed support beyond community/Apache project channels
  • Hybrid consulting model means full value likely requires a real services engagement
  • No self-serve pricing - expect a direct conversation
  • Best suited to teams with real production ML deployment needs, not experimentation
CompanyApache SINGAKonduit

Prices come from each vendor's pricing page, last checked 20260824. Check the vendor before you buy.

FAQ

Questions people ask

Is Apache SINGA better than Konduit?

In our reviews Apache SINGA scores 3.6 and Konduit scores 3.7. The better pick depends on the job. Apache SINGA: Open-source distributed deep learning library - automatic gradient calculation and multi-GPU training, in real-world use at NUS, Alibaba, and Citigroup. Konduit: Run PyTorch, TensorFlow, Keras and ONNX models wherever you need them - cloud, on-premise, edge or mobile - backed by the Eclipse Deeplearning4j ecosystem.

Which is cheaper, Apache SINGA or Konduit?

Apache SINGA: free. Konduit: see pricing.

Do Apache SINGA and Konduit have free plans?

Only Apache SINGA has a free plan.

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