Name | gpuhunt JSON |
Version |
0.0.8
JSON |
| download |
home_page | |
Summary | A catalog of GPU pricing for different cloud providers |
upload_time | 2024-03-15 13:59:52 |
maintainer | |
docs_url | None |
author | dstack GmbH |
requires_python | >=3.8 |
license | |
keywords |
gpu
cloud
pricing
|
VCS |
|
bugtrack_url |
|
requirements |
No requirements were recorded.
|
Travis-CI |
No Travis.
|
coveralls test coverage |
No coveralls.
|
[![](https://img.shields.io/pypi/v/gpuhunt)](https://pypi.org/project/gpuhunt/)
Easy access to GPU pricing data for major cloud providers: AWS, Azure, GCP, and LambdaLabs.
The catalog includes details about prices, locations, CPUs, RAM, GPUs, and spots (interruptable instances).
## Usage
```python
import gpuhunt
items = gpuhunt.query(
min_memory=16,
min_cpu=8,
min_gpu_count=1,
max_price=1.0,
)
print(*items, sep="\n")
```
List of all available filters:
* `provider`: name of the provider to filter by. If not specified, all providers will be used. One or many
* `min_cpu`: minimum number of CPUs
* `max_cpu`: maximum number of CPUs
* `min_memory`: minimum amount of RAM in GB
* `max_memory`: maximum amount of RAM in GB
* `min_gpu_count`: minimum number of GPUs
* `max_gpu_count`: maximum number of GPUs
* `gpu_name`: name of the GPU to filter by. If not specified, all GPUs will be used. One or many
* `min_gpu_memory`: minimum amount of GPU VRAM in GB for each GPU
* `max_gpu_memory`: maximum amount of GPU VRAM in GB for each GPU
* `min_total_gpu_memory`: minimum amount of GPU VRAM in GB for all GPUs combined
* `max_total_gpu_memory`: maximum amount of GPU VRAM in GB for all GPUs combined
* `min_disk_size`: minimum disk size in GB (not fully supported)
* `max_disk_size`: maximum disk size in GB (not fully supported)
* `min_price`: minimum price per hour in USD
* `max_price`: maximum price per hour in USD
* `min_compute_capability`: minimum compute capability of the GPU
* `max_compute_capability`: maximum compute capability of the GPU
* `spot`: if `False`, only ondemand offers will be returned. If `True`, only spot offers will be returned
## Advanced usage
```python
from gpuhunt import Catalog
catalog = Catalog()
catalog.load(version="20240310")
items = catalog.query()
print(*items, sep="\n")
```
## Supported providers
* AWS
* Azure
* Cudo Compute
* DataCrunch
* GCP
* LambdaLabs
* Nebius
* TensorDock
* Vast AI
## See also
* [dstack](https://github.com/dstackai/dstack)
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