dstack - Accelerate AI Development and Deployment

dstack Accelerate AI Development and Deployment

Usage Based

Home: https://dstack.ai

Developer Tools

#GPU
#Cloud
#Development
#deployment
#Workload
#infrastructure

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What is dstack?

dstack is a platform designed to simplify and accelerate the process of developing and deploying AI applications. It offers a range of tools and features to manage AI workloads effectively. The platform facilitates access to GPUs from various verified cloud GPU providers, enabling users to leverage the necessary computational power for their AI projects.

dstack focuses on optimizing workflows and providing a robust infrastructure to support the complexities of AI development and deployment. The cloud version integrates with multiple providers, offering flexibility in selecting and managing GPU resources.

Features

GPU Access: Provides access to GPUs from verified cloud providers.
Workload Management: Offers tools to manage AI workloads efficiently.
Cost Control: Allows users to control the maximum price for GPU usage.
Infrastructure Optimization: Provides a robust infrastructure for AI development and deployment.
Flexible Resource Selection: Integrates with multiple providers for flexible GPU resource management.

Use Cases

Developing and deploying AI applications
Managing AI workloads
Accessing and managing GPU resources
Optimizing AI development workflows
Fine-tuning large language models

FAQs

How is the total cost per usage calculated?

The cloud version of dstack provides GPUs from various verified cloud GPU providers. Each provider may have its own pricing, and while dstack offers you the minimum available price, you have control over the maximum price. The prices above are starting prices per GPU. Storage and CPU are billed separately. If you need more details on the cost breakdown, feel free to contact support.