Dataoorts

Faster, Efficient And Better GPU Cloud for AI Developers.

Usage Based

Description

Dataoorts provides a specialized GPU Cloud environment designed specifically for AI, machine learning (ML), and deep learning (DL) development. The platform offers various GPU instances, including GC2 for development tasks and X-Series for compute-intensive workloads like AI model training and fine-tuning, all built on their proprietary DDRA technology for speed, isolation, and security. Instances are pre-configured with Dataoorts Machine Images (DMI) containing essential tools like Docker, Python, and CUDA, allowing developers to start projects quickly.

Beyond instances, Dataoorts features a Serverless AI service providing API access to leading open-source generative AI models with potentially unlimited calls and affordable token pricing. The platform is Kubernetes native, facilitating cluster deployment, and offers customizable hardware solutions for users needing specific CPU, GPU, RAM, or storage configurations. Technical support is available to assist users, emphasizing a focus on allowing developers to concentrate on their code while the infrastructure is managed.

Key Features

GC2 GPU Instances: Lightweight, fast, and secure instances designed for development tasks.
X-Series GPU Instances: High-performance instances powered by the Super DDRA Cluster for compute-intensive tasks like AI model training/tuning.
Serverless AI Models API: Unlimited API access to top open-source GenAI models without managing server infrastructure.
DMI (Dataoorts Machine Image): Pre-configured snapshots with common tools (Docker, Python, CUDA) to speed up project initiation.
Kubernetes Native Cloud: Allows immediate deployment of Kubernetes clusters.
DDRA Technology: Underpins instances for speed, efficiency, isolation, and security.
Custom Hardware Solutions: Offers personalized hardware configurations (CPU, GPU, RAM, storage).
On-Demand & Affordable Pricing: Pay-as-you-go model for GPU instances.

Use Cases

AI application development
Machine learning model development
Deep learning model training and tuning
High-performance computing tasks
Running large-scale data analytics
Deploying Kubernetes clusters on GPU infrastructure
Accessing generative AI models via serverless API
Developing and testing AI/ML workflows

Frequently Asked Questions

What is the pricing model for Dataoorts Cloud?

GC2 Instances have fixed hourly pricing determined at launch. X-Series Instances use dynamic pricing adjusted per second within a specified range, based on factors like real-time cluster usage, workloads, and region.

How are resources like CPU, RAM, and Storage managed?

Instance resources such as RAM, CPU, and storage are dynamically managed by Dataoorts using their DDRA Technology, allowing users to focus on their code.

How can I get more storage volume for my AI project?

If you need additional storage volume, you should contact the Dataoorts support team through available channels, including the live chat on their site.

What are X-Series Instances?

X-Series Instances run on an advanced DDRA cluster and are optimized for compute-intensive workloads, making them suitable for tasks like fine-tuning and training large AI models.

How is the cost calculated for X-Series Instances?

X-Series Instance pricing is dynamic and higher than GC2 instances. The cost varies based on factors like the number of real-time users, ongoing compute workloads, and the region of instance deployment, fluctuating within a range shown on the dashboard.