SLYD Marketplace v1.0.0

Explore the SLYD Marketplace to find compute resources and applications to power your projects.

Marketplace Overview

The SLYD Marketplace is your one-stop shop for compute resources and pre-configured applications. Browse categories, compare offerings, and deploy solutions with just a few clicks.

Compute Marketplace

The Compute Marketplace is where you'll find hardware resources provided by our network of verified providers.

SLYD Compute Marketplace

Fig 1. SLYD Compute Marketplace

Resource Categories

SLYD offers various compute resource categories to match your specific needs:

Standard Compute

General-purpose computing resources suitable for a wide range of applications.

  • CPUs: 2-16 cores
  • RAM: 4-64 GB
  • Storage: 100-500 GB SSD
  • Network: 1-5 Gbps

Ideal for: Web servers, development environments, small databases

Memory Optimized

High-memory configurations for memory-intensive workloads.

  • CPUs: 4-32 cores
  • RAM: 32-512 GB
  • Storage: 250-1000 GB SSD
  • Network: 5-10 Gbps

Ideal for: In-memory databases, real-time analytics, caching layers

Compute Optimized

High-performance CPU configurations for compute-intensive workloads.

  • CPUs: 8-96 cores
  • RAM: 16-192 GB
  • Storage: 250-1000 GB SSD
  • Network: 10-25 Gbps

Ideal for: Batch processing, scientific computing, game servers

Storage Optimized

Large storage capacities for data-intensive applications.

  • CPUs: 4-16 cores
  • RAM: 16-128 GB
  • Storage: 1-16 TB SSD/HDD
  • Network: 5-25 Gbps

Ideal for: Data warehousing, file servers, backup systems

Network Optimized

Enhanced network performance for communication-intensive applications.

  • CPUs: 8-32 cores
  • RAM: 16-128 GB
  • Storage: 250-1000 GB SSD
  • Network: 25-100 Gbps

Ideal for: CDN nodes, streaming servers, distributed systems

Finding the Right Compute Resources

The Compute Marketplace offers several ways to find the perfect resources for your needs:

1

Browse Categories

Explore different categories of compute resources based on your workload type.

2

Use Filters

Narrow down options by CPU, RAM, GPU, storage, price range, and region.

3

Compare Resources

Select multiple options to compare their specifications and pricing side-by-side.

4

Ask Benson AI

Get personalized recommendations from Benson AI based on your specific requirements.

Benson AI Recommendations

Not sure which compute resource is right for you? Benson AI can analyze your workload requirements and recommend the most suitable configuration. Simply describe your project needs, and Benson will suggest optimal resources while considering your budget constraints.

Learn more about Benson AI

Application Marketplace

The Application Marketplace offers a wide range of pre-configured software applications that can be instantly deployed on your compute instances.

SLYD Application Marketplace

Fig 2. SLYD Application Marketplace

Application Categories

Browse applications across various categories:

Here are some of the most popular applications available on the SLYD Marketplace:

(4.8)

Jupyter Lab

Interactive computing environment for data science and machine learning.

Data Science Python
(4.9)

MongoDB

NoSQL document database with scalability and flexibility.

Database NoSQL
(4.7)

PyTorch

Open-source machine learning framework for advanced deep learning.

AI/ML Deep Learning
(4.9)

VS Code Server

Cloud-based code editor with full IntelliSense, debugging, and Git integration.

Development Code Editor

Deploying from the Marketplace

Deploying resources and applications from the SLYD Marketplace is straightforward:

1

Select Resource or Application

Browse the marketplace and select the compute resource or application you want to deploy.

2

Configure Options

Specify configuration options such as resource size, region, and application settings.

3

Set Rental Duration

Choose how long you want to rent the resource, from hourly to monthly plans.

4

Review and Deploy

Review your configuration, confirm pricing, and click "Deploy" to launch your resource.

Deployment Time

Most compute resources are provisioned within 2-5 minutes. Complex applications may take 5-10 minutes to fully deploy and configure. You'll receive a notification when your deployment is ready to use.

Custom Images

In addition to marketplace offerings, SLYD allows you to create and use custom images:

1

Create a Custom Image

Configure an instance with your desired software, then create an image from it.

2

Save to Your Library

Name and categorize your image, then save it to your private image library.

3

Deploy from Your Library

Launch new instances using your custom images for consistent environments.

4

Share with Team (Optional)

Share custom images with team members for standardized deployments.

Marketplace Pricing

SLYD uses a transparent pricing model for marketplace offerings:

Compute Resources

  • Pay-as-you-go hourly rates
  • Discounted weekly and monthly plans
  • No hidden fees or overage charges
  • Cost estimates provided before deployment
Example (Standard 4 CPU):
$0.08 per hour
$48 per month

Applications

  • Most applications are free to use
  • Premium apps have transparent licensing costs
  • No markup on vendor licensing fees
  • BYOL (Bring Your Own License) support
Free
Premium
BYOL
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