Platforms that offer ready-to-use APIs for GPU.

user1272047user1272047
6 min read

Here are some platforms that offer ready-to-use APIs similar to GeForce NOW, allowing developers to integrate cloud-based GPU and computational resources into applications:

  1. play.geforcenow.com

  2. NVIDIA CloudXR

    • Purpose: Provides APIs for streaming VR and AR experiences from the cloud to mobile devices and headsets.

    • Use Case: Perfect for AR/VR applications requiring high GPU power without local hardware.

  3. AWS Lambda with GPU Support

    • Purpose: Serverless compute service with GPU-backed instances for scalable, event-driven tasks.

    • Use Case: Run GPU-accelerated tasks like machine learning inference via API without managing servers.

  4. Google Cloud AI Platform

    • Purpose: Fully managed machine learning service with APIs for model training and deployment on GPU instances.

    • Use Case: Offers APIs for deep learning tasks, model training, and online prediction.

  5. Azure Machine Learning

    • Purpose: Cloud-based machine learning service with access to GPU resources via REST APIs.

    • Use Case: Ideal for scalable ML model training, inferencing, and deployment with Microsoft’s ecosystem.

  6. Run:AI

    • Purpose: Provides Kubernetes-based orchestration and APIs to distribute GPU resources for ML/DL workloads.

    • Use Case: Useful for multi-user environments needing dynamic allocation of GPU resources.

  7. Paperspace Gradient

    • Purpose: Platform for training and deploying deep learning models with access to APIs for automated ML workflows.

    • Use Case: Easy-to-use interface for ML projects, with Jupyter notebooks and model deployment.

  8. IBM Watson Machine Learning

    • Purpose: Offers GPU-based machine learning model development and deployment with API access.

    • Use Case: For developers needing API-based GPU resources for data analysis and model serving.

  9. Shadow Cloud Computing

    • Purpose: Provides a full virtualized Windows environment with GPU access, including APIs for certain integrations.

    • Use Case: Primarily gaming but can be used for remote software needing GPU power.

  10. Vast.ai

    • Purpose: Marketplace for renting GPU resources, with APIs to provision GPUs for various tasks.

    • Use Case: Cost-effective way to access GPU power for tasks like rendering and machine learning.

  11. CoreWeave Cloud

  • Purpose: Cloud computing with API access to GPUs for AI, VFX, and rendering workloads.

  • Use Case: Designed for developers in need of high-performance GPU resources on-demand.

  1. DigitalOcean Apps with GPU

  • Purpose: App platform that provides GPU instances with APIs for application deployment.

  • Use Case: For developers deploying GPU-accelerated applications or web apps requiring backend GPUs.

  1. Tencent Cloud GSE (Game Server Engine)

  • Purpose: Provides game server hosting with GPU support and APIs for real-time multiplayer gaming.

  • Use Case: Ideal for game developers needing scalable game servers with GPU acceleration.

  1. Unity Gaming Services (UGS)

  • Purpose: Cloud gaming backend with APIs to support multiplayer, game streaming, and other real-time services.

  • Use Case: Built for game developers to integrate cloud-based GPU rendering and game streaming.

  1. Google Stadia for Developers (Stadia Partner Platform)

  • Purpose: Allows developers to integrate cloud GPU resources to deliver games and applications.

  • Use Case: Game developers can leverage Google’s GPU infrastructure to stream games to users.

  1. Oracle Cloud Infrastructure Data Science

  • Purpose: Managed data science platform with GPU resources and APIs for building and deploying models.

  • Use Case: For data scientists needing powerful GPUs for machine learning and data analysis tasks.

Additional platforms offering ready-to-use APIs with cloud-based GPU or computing resources, across various applications:

1. Alibaba Cloud Elastic GPU Service

  • Provides APIs to add GPU instances to cloud servers for machine learning, gaming, and rendering.

2. Hugging Face Inference API

  • Offers GPU-accelerated APIs for deploying and using pre-trained ML models.

3. Intel DevCloud

  • Allows developers to test and deploy on Intel’s hardware, including GPUs, with API access.

4. Grid.ai

  • Provides APIs for training deep learning models on scalable cloud GPUs and TPUs.

5. Genesis Cloud

  • Offers high-performance GPU compute via APIs for deep learning and rendering tasks.

6. Lambda Labs Cloud

  • Cloud provider focused on ML, offering APIs to access GPU instances for training and inference.

7. Modzy

  • An ML platform with APIs for model deployment, inference, and automated workflows on GPUs.

8. ClearML

  • MLOps platform offering API-based scheduling, resource allocation, and GPU usage for ML.

9. FluidStack

  • Decentralized cloud provider with GPU access, offering APIs for rendering and computation.

10. Spell

  • Provides an MLOps platform with API access to cloud GPUs for model training and deployment.

11. Nimbix Cloud

  • High-performance computing platform with APIs for accessing GPUs for simulations and ML.

12. Chili Piper Concierge API

  • Real-time appointment scheduling API using cloud resources, including GPU for large-scale events.

13. Radeon ProRender Cloud

  • AMD’s rendering API for leveraging GPU resources in the cloud for 3D and VR applications.

14. Active.AI

  • Provides APIs with GPU backend support to handle conversational AI and chatbot development.

15. GridMarkets

  • Rendering platform with GPU APIs for 3D animations, VFX, and visual projects.

16. Databricks MLflow

  • ML lifecycle platform with API access to GPU resources for large-scale model training.

17. NVIDIA Fleet Command

  • Manages and deploys GPU-accelerated applications on edge devices, with APIs for remote control.

18. RunwayML

  • Offers APIs for creative AI tools powered by GPUs, including video editing and generation.

19. Alibaba Cloud Container Service for Kubernetes (ACK)

  • Manages GPU resources with Kubernetes API for ML and high-performance apps.

20. Voxel51 Platform

  • Video analytics API with GPU backend for processing video data in real-time.

21. NVIDIA DeepStream SDK

  • Provides a framework for real-time video analytics on GPU, with APIs for data handling.

22. Veo Robotics API

  • API for robotics with GPU support, focusing on computer vision and real-time processing.

23. xenonStack AIaaS

  • AI-as-a-service platform with API-based access to GPU resources for model training.

24. Cogniac Visual Intelligence

  • Visual AI platform with APIs to leverage GPUs for object detection and analytics.

25. Vultr GPU Instances

  • API-driven access to GPU instances for ML, rendering, and video processing tasks.

26. IBM Cloud Functions with GPU Support

  • Serverless platform with API support for GPU instances, ideal for event-driven tasks.

27. Clovyr Data Science Cloud

  • Data science platform with GPU-based APIs for large data analytics and model inference.

28. Render.com

  • Managed service for deploying web applications with GPU support via API.

29. DataRobot AI Cloud

  • Offers APIs to manage GPU-based ML and AI models, with tools for MLOps.

30. Algorithmia

  • ML platform offering APIs to access GPU resources for running ML models at scale.

These platforms cover a wide array of use cases, from machine learning and 3D rendering to real-time video analytics and web app deployment, all offering APIs for GPU-powered computation.

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