Apache TVM
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Visit| Fact | Apache TVM | Horovod |
|---|---|---|
| Installation | Users can install TVM from PyPI, build it from source or use Docker images. | The getting-started page provides pip installation commands for CPU use and GPU use with NCCL. |
TVM suits developers who need to compile and customize pre-trained machine learning models for varied hardware and runtime targets. It is for teams able to secure RPC access within trusted users and networks.
Horovod suits Python teams training TensorFlow, Keras, PyTorch or MXNet models across multiple GPUs. It is also relevant for deployments using Spark or other listed runtime environments.