📦Kubetorch🔥
A Fast, Pythonic, "Serverless" Interface for Running ML Workloads on Kubernetes
Kubetorch lets you programmatically build, iterate, and deploy ML applications on Kubernetes at any scale - directly from Python.
It brings your cluster's compute power into your local development environment, enabling extremely fast iteration (1-2 seconds). Logs, exceptions, and hardware faults are automatically propagated back to you in real-time.
Since Kubetorch has no local runtime or code serialization, you can access large-scale cluster compute from any Python environment - your IDE, notebooks, CI pipelines, or production code - just like you would use a local process pool.
What Kubetorch Enables
- 100x faster iteration from 10+ minutes to 1-3 seconds for complex ML applications like RL and distributed training
- 50%+ compute cost savings through intelligent resource allocation, bin-packing, and dynamic scaling
- 95% fewer production faults with built-in fault handling with programmatic error recovery and resource adjustment
🏃♀️ Built by Runhouse 🏠
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Metadata
3 maintainers
Release files for kubetorch 0.5.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| kubetorch-0.5.1.tar.gz | 299.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| kubetorch-0.5.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 653.0 kB
Release files / kubetorch-0.5.1.tar.gz
| Download URL | kubetorch-0.5.1.tar.gz |
|---|---|
| Size | 299.3 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/2.4.1 CPython/3.12.3 Linux/6.17.0-1015-azure
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Release files / kubetorch-0.5.1-py3-none-any.whl
| Download URL | kubetorch-0.5.1-py3-none-any.whl |
|---|---|
| Size | 353.7 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/2.4.1 CPython/3.12.3 Linux/6.17.0-1015-azure
|
