Easy access to GPU pricing data for major cloud providers: AWS, Azure, GCP, etc. The catalog includes details about prices, locations, CPUs, RAM, GPUs, and spots (interruptible instances).

Usage

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
  • cpu_arch: CPU architecture, one of: x86, arm
  • 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_vendor: GPU/accelerator vendor, one of: nvidia, amd, google, intel
  • 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

from gpuhunt import Catalog

catalog = Catalog()
catalog.load(version="20240508")
items = catalog.query()

print(*items, sep="\n")

Supported providers

  • AWS
  • Azure
  • CloudRift
  • Verda
  • GCP
  • JarvisLabs
  • LambdaLabs
  • Nebius
  • OCI
  • Runpod
  • Vast AI
  • Vultr

See also

Project links

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Newer release available (0.1.30)

2 maintainers

PyPI data
Data sourced directly from PyPI's database.
Avatar for peterschmidt85 from gravatar.com peterschmidt85 Avatar for r4victor from gravatar.com r4victor

Credits

Author: dstack GmbH

License

Mozilla Public License 2.0 (MPL 2.0)

Requires

Python >=3.10

Provides Extra

aws azure gcp nebius oci verda all dev

Tags

gpu cloud pricing

Classifiers

Report project as malware

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

gpuhunt-0.1.27.tar.gz (72.1 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

gpuhunt-0.1.27-py3-none-any.whl (92.6 kB view details)

Uploaded Python 3

File details

Details for the file gpuhunt-0.1.27.tar.gz.

File metadata

  • Download URL: gpuhunt-0.1.27.tar.gz
  • Upload date:
  • Size: 72.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.14

File hashes

Hashes for gpuhunt-0.1.27.tar.gz
Algorithm Hash digest
SHA256 cb48967795c6e8a0e9315e41ec434f9c68d68fdec4531d88db321bc9db0cba76
MD5 164ac4a231a538ed3d137d1356bc2c9f
BLAKE2b-256 6f9ef54db7bfc90462a0d23628d735b7205514e634e2299f2047d2429a1c715a

See more details on using hashes here.

File details

Details for the file gpuhunt-0.1.27-py3-none-any.whl.

File metadata

  • Download URL: gpuhunt-0.1.27-py3-none-any.whl
  • Upload date:
  • Size: 92.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.14

File hashes

Hashes for gpuhunt-0.1.27-py3-none-any.whl
Algorithm Hash digest
SHA256 968c734679bd2a8e4c97756d9a31ddb1f5fb330b3f5516c677d4f3b894df8608
MD5 e943f8baef95eb823501ba163e0f70ef
BLAKE2b-256 28b3abb6423fce83195e4ce06b5525f402808569c01feedf637f09548a539936

See more details on using hashes here.

Release history Release notifications | RSS feed

0.1.30

2 files

0.1.29

2 files

0.1.28

2 files

This release

0.1.27 This release

2 files

0.1.26

2 files

0.1.25

2 files

0.1.24

2 files

0.1.23

2 files

0.1.22

2 files

0.1.21

2 files

0.1.20

2 files

0.1.19

2 files

0.1.18

2 files

0.1.17

2 files

0.1.16

2 files

0.1.15

2 files

0.1.14

2 files

0.1.13

2 files

0.1.12

2 files

0.1.11

2 files

0.1.10

2 files

0.1.9

2 files

0.1.8

2 files

0.1.7

2 files

0.1.6

2 files

0.1.5

2 files

0.1.4

2 files

0.1.3

2 files

0.1.2

2 files

0.1.1

2 files

Pre-release

0.1.1rc1

2 files

0.1.0

2 files

0.0.19

2 files

0.0.18

2 files

0.0.17

2 files

0.0.16

2 files

0.0.15

2 files

Yanked

0.0.14

2 files

Yanked reason: Broken backward compatibility

Yanked

0.0.13

2 files

Yanked reason: Broken backward compatibility

0.0.12

2 files

0.0.11

2 files

0.0.10

2 files

Pre-release

0.0.10rc1

2 files

0.0.9

2 files

Pre-release

0.0.9rc3

2 files

Pre-release

0.0.9rc2

2 files

Pre-release

0.0.9rc1

2 files

0.0.8

2 files

0.0.7

2 files

0.0.6

2 files

0.0.5

2 files

0.0.4

2 files

0.0.3

2 files

Pre-release

0.0.3rc1

2 files

Pre-release

0.0.2rc2

2 files

Pre-release

0.0.2rc1

2 files

0.0.1

2 files

Pre-release

0.0.1rc9

2 files

Pre-release

0.0.1rc8

2 files

Pre-release

0.0.1rc7

2 files

Pre-release

0.0.1rc6

2 files

Pre-release

0.0.1rc5

2 files

Pre-release

0.0.1rc4

2 files

Pre-release

0.0.1rc3

2 files

Pre-release

0.0.1rc2

2 files

Pre-release

0.0.1rc1

2 files

Pre-release

0.0.1.dev1

2 files

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page