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Description
Easily access dedicated machines equipped with pre-configured professional AI development tools from reliable data centers at competitive rates. Apolo offers everything from high-performance computing resources to a comprehensive AI platform featuring an integrated machine learning development toolkit. It can be implemented in various configurations, including distributed architectures, dedicated enterprise clusters, or multi-tenant white-label solutions to cater to specialized instances or self-service cloud environments. Instantly, Apolo sets up a robust AI-focused development environment, providing you with all essential tools readily accessible. The platform efficiently manages and automates both infrastructure and processes, ensuring successful AI development at scale. Apolo’s AI-driven services effectively connect your on-premises and cloud resources, streamline deployment pipelines, and synchronize both open-source and commercial development tools. By equipping enterprises with the necessary resources and tools, Apolo facilitates significant advancements in AI innovation. With its user-friendly interface and powerful capabilities, Apolo stands out as a premier choice for organizations looking to enhance their AI initiatives.
Description
It enhances the efficiency of both development and deployment processes, cuts down on cloud expenses, and liberates users from being tied to a specific vendor. You can set up the required hardware resources, including GPU and memory, and choose between spot instances or on-demand options. dstack streamlines the entire process by automatically provisioning cloud resources, retrieving your code, and ensuring secure access through port forwarding. You can conveniently utilize your local desktop IDE to access the cloud development environment. Specify the hardware configurations you need, such as GPU and memory, while indicating your preference for instance types. dstack handles resource provisioning and port forwarding automatically for a seamless experience. You can pre-train and fine-tune advanced models easily and affordably in any cloud infrastructure. With dstack, cloud resources are provisioned based on your specifications, allowing you to access data and manage output artifacts using either declarative configuration or the Python SDK, thus simplifying the entire workflow. This flexibility significantly enhances productivity and reduces overhead in cloud-based projects.
API Access
Has API
API Access
Has API
Integrations
Python
Amazon Web Services (AWS)
Git
Google Cloud Platform
Grafana
Jupyter Notebook
Locust
MLflow
Microsoft Azure
Prometheus
Integrations
Python
Amazon Web Services (AWS)
Git
Google Cloud Platform
Grafana
Jupyter Notebook
Locust
MLflow
Microsoft Azure
Prometheus
Pricing Details
$5.35 per hour
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Apolo
Country
United States
Website
www.apolo.us
Vendor Details
Company Name
dstack
Website
dstack.ai/