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HuggingFace

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The AI community building the future

About HuggingFace

HuggingFace helps ML teams host, share, and deploy models, datasets, and interactive demos. It serves researchers, developers, and enterprise teams seeking a centralized, scalable workspace to collaborate and move from research to production.

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Key Features

For practitioners, this hub covers the full ML lifecycle—from hosting to deployment—across teams:

Models Repository

Centralized hosting of pre-trained models with versioning, tags, and search to enable reuse and collaboration

Datasets Hub

Curated datasets with versioning and metadata to facilitate training, evaluation, and reproducibility

Spaces & Demos

Interactive applications and demos to test models in a browser and showcase capabilities

Inference Endpoints / Compute

Unified API access to thousands of models with scalable deployment options for production use

Summary

Best for ML engineering teams, data scientists, and product teams prototyping, collaborating, and deploying models at scale.

PRO Account

$9 / per month

  • 10× private storage capacity
  • 20× included inference credits
  • 8× ZeroGPU quota and highest queue priority
  • Spaces Dev Mode & ZeroGPU Spaces hosting
  • Publish blog articles on your HF profile
  • Dataset Viewer for private datasets
  • Show your support with a Pro badge

Team

$20 / per user per month

  • SSO and SAML support
  • Choose data location with Storage Regions
  • Detailed action reviews with Audit Logs
  • Granular access control via Resource Groups
  • Repository usage Analytics
  • Set auth policies and default repository visibility
  • Centralized token control and approvals
  • Dataset Viewer for private datasets
  • Advanced compute options for Spaces
  • All organization members get ZeroGPU and Inference Providers PRO benefits

Enterprise

$50 / per user per month

  • All benefits from the Team plan
  • Highest storage, bandwidth, and API rate limits
  • Managed billing with annual commitments
  • Legal and Compliance processes
  • Personalized support

Hugging Face Hub

free

  • Join the open source Machine Learning movement

Spaces Hardware - CPU Basic

$0

  • 2 vCPU
  • 16 GB Memory
  • No Accelerator
  • No VRAM

Spaces Hardware - CPU Upgrade

$0.03

  • 8 vCPU
  • 32 GB Memory
  • No Accelerator
  • No VRAM

Spaces Hardware - Nvidia T4 - small

$0.40

  • 4 vCPU
  • 15 GB Memory
  • Nvidia T4
  • 16 GB VRAM

Spaces Hardware - Nvidia T4 - medium

$0.60

  • 8 vCPU
  • 30 GB Memory
  • Nvidia T4
  • 16 GB VRAM

Spaces Hardware - 1x Nvidia L4

$0.80

  • 8 vCPU
  • 30 GB Memory
  • Nvidia L4
  • 24 GB VRAM

Spaces Hardware - 4x Nvidia L4

$3.80

  • 48 vCPU
  • 186 GB Memory
  • Nvidia L4
  • 96 GB VRAM

Spaces Hardware - 1x Nvidia L40S

$1.80

  • 8 vCPU
  • 62 GB Memory
  • Nvidia L4
  • 48 GB VRAM

Spaces Hardware - 4x Nvidia L40S

$8.30

  • 48 vCPU
  • 382 GB Memory
  • Nvidia L4
  • 192 GB VRAM

Spaces Hardware - 8x Nvidia L40S

$23.50

  • 192 vCPU
  • 1534 GB Memory
  • Nvidia L4
  • 384 GB VRAM

Spaces Hardware - Nvidia A10G - small

$1.00

  • 4 vCPU
  • 15 GB Memory
  • Nvidia A10G
  • 24 GB VRAM

Spaces Hardware - Nvidia A10G - large

$1.50

  • 12 vCPU
  • 46 GB Memory
  • Nvidia A10G
  • 24 GB VRAM

Spaces Hardware - 2x Nvidia A10G - large

$3.00

  • 24 vCPU
  • 92 GB Memory
  • Nvidia A10G
  • 48 GB VRAM

Spaces Hardware - 4x Nvidia A10G - large

$5.00

  • 48 vCPU
  • 184 GB Memory
  • Nvidia A10G
  • 96 GB VRAM

Spaces Hardware - Nvidia A100 - large

$2.50

  • 12 vCPU
  • 142 GB Memory
  • Nvidia A100
  • 80 GB VRAM

Spaces Hardware - Nvidia H100

$4.50

  • 23 vCPU
  • 240 GB Memory
  • Nvidia H100
  • 80 GB VRAM

Spaces Hardware - 8x Nvidia H100

$36.00

  • 184 vCPU
  • 1920 GB Memory
  • Nvidia H100
  • 640 GB VRAM

Spaces Persistent Storage - Small

$5 / per month

  • 20 GB

Spaces Persistent Storage - Medium

$25 / per month

  • 150 GB

Spaces Persistent Storage - Large

$100 / per month

  • 1 TB

Inference Endpoints - Starting at

$0.033 / per hour

  • Secure production solution to easily deploy any ML model on dedicated and autoscaling infrastructure

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