Side by side
Apache TVM vs Caffe
Both stand on deep learning software. Which one you can start free with, which one lets you read the code, and what each costs once you pay.
Free plan Open source AndroidAPIiPhone+5
TVM offers broad model, backend, and runtime support with Python-based optimization. Treat its RPC server as a high-trust interface because API users can write files and execute code remotely.
Visit Apache TVM Free plan LinuxMacSelf-hosted+1
Caffe brings configuration-based model setup, multiple interfaces, and CPU or GPU operation together in a free framework. Check the CUDA requirement for GPU use and the build support distinction before choosing an installation route.
Visit CaffeThe facts
| Apache TVM | Caffe | |
|---|---|---|
| Free plan | Yes | Yes |
| Open source | Yes | Not published |
| Runs on | Android, API, iPhone, Linux, Mac, Self-hosted, Web, Windows | Linux, Mac, Self-hosted, Windows |
| Lowest paid plan | Free or on request | Free or on request |
| Plans published | 1 | 1 |
| Maker | Not published | Not published |
| Website | tvm.apache.org | caffe.berkeleyvision.org |
| On deep learning software | #1 of 35 | #4 of 35 |
Apache TVM: what it does well
- Imports PyTorch, ONNX, and TensorFlow Lite models
- Customizes optimization in Python without recompiling TVM
- Supports CPU, GPU, and multiple deployment backends
- Lightweight runtime covers mobile devices and browsers
- Free open-source software under Apache License 2.0
What to know first
- RPC assumes trusted users and networks
- RPC API users can write arbitrary files and execute code remotely
Caffe: what it does well
- Free under the BSD 2-Clause license
- Configuration-based model and optimization definitions
- Command-line, Python, and MATLAB interfaces
- Supports CPU-only builds and CUDA GPU operation
- Model Zoo shares model information and trained binaries
What to know first
- GPU mode requires CUDA
- CMake builds are community supported
- No free trial is listed
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