Specials – Pcloud Hosting

Puppet Bolt on Ubuntu 24.04 provides a pre-configured agentless automation and orchestration environment designed for task execution, configuration management, and infrastructure operations. This offering deploys Puppet Bolt on Ubuntu 24.04 on CLOUD_PLATFORM: AWS / Microsoft Azure / Google Cloud, running on Ubuntu 24.04 LTS, and is published and maintained by pCloudHosting. The solution delivers a ready-to-run Puppet Bolt environment optimized for cloud infrastructure, enabling teams to automate administrative tasks and manage systems without deploying persistent agents.

Platform Overview

The platform delivers a fully configured Puppet Bolt on Ubuntu 24.04 environment for cloud-based automation and operations.

Preinstalled Puppet Bolt runtime and dependencies
Ubuntu 24.04 LTS base for long-term stability and security updates
VM-based deployment across AWS, Azure, and Google Cloud
Command-line–driven automation framework
Compatible with cloud networking, storage, and monitoring services

This environment supports infrastructure task execution and remote system management.

Core Technical Capabilities

Puppet Bolt provides automation and orchestration tools:

Agentless remote task execution over SSH and WinRM
Task and plan orchestration capabilities
Inventory-based node targeting
Integration with Puppet modules and scripts
Secure credential handling
JSON and YAML-based configuration

Puppet Bolt on Ubuntu 24.04 enables structured automation across distributed environments.

Deployment and Architecture

The deployment follows a cloud-native virtual machine architecture.

Single-instance Puppet Bolt environment on Ubuntu 24.04
Full administrative access to OS and automation configuration
Compatible with multi-node and hybrid cloud infrastructures
Integration-ready with DevOps and CI/CD workflows
Expandable architecture for managing multiple environments

The setup supports development, testing, and production operations.

Scalability and Performance

Puppet Bolt environments can scale based on operational workload.

Lightweight execution model with minimal resource overhead
Vertical scaling via cloud instance resizing
Suitable for small teams through enterprise automation use cases
Monitoring compatibility for resource and task visibility

Security and Compliance

Security is supported through infrastructure and automation controls.

Agentless architecture reduces persistent endpoint exposure
Role-based OS access control
Secure SSH-based communication
Compatibility with cloud IAM policies, firewalls, and security groups
No mandatory third-party SaaS dependencies

Organizations retain authority over automation policies and compliance requirements.

Maintenance and Support

Free Maintenance Support by pCloudHosting is included.
Support includes:

Deployment validation
Configuration guidance
Update and upgrade assistance
Troubleshooting and operational best practices

pCloudHosting maintains the base image to ensure reliability and cloud compatibility.

Deploy on Your Preferred Cloud

One-Click Deployment from Cloud Marketplaces

Launch on AWS Marketplace

Launch on Azure Marketplace

Launch on GCP Marketplace

Common Use Cases

Puppet Bolt on Ubuntu 24.04 is commonly used for:

Infrastructure automation
Configuration management tasks
Patch and update orchestration
Cloud and hybrid system operations
DevOps workflow automation

Summary

This offering provides a cloud-ready Puppet Bolt automation environment on Ubuntu 24.04, enabling organizations to execute agentless automation and orchestration workflows on AWS, Azure, or Google Cloud with full control over infrastructure, operations, and integrations.

KeyCloak

ATHpcloud — Mon, 09 Feb 2026 06:06:51 +0000

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Keycloak on Ubuntu 24.04

Pre-Configured IAM Platform

Keycloak on Ubuntu 24.04 provides a pre-configured identity and access management (IAM) platform designed for centralized authentication, authorization, and single sign-on (SSO). This offering deploys Keycloak on Ubuntu 24.04 on CLOUD_PLATFORM: AWS / Microsoft Azure / Google Cloud, running on Ubuntu 24.04 LTS, and is published and maintained by PCloudhosting. The solution delivers a ready-to-run Keycloak environment optimized for cloud infrastructure, enabling organizations to implement secure identity services without manual IAM platform setup.

Platform Overview

The platform delivers a fully configured Keycloak on Ubuntu 24.04 environment for cloud-based identity management.

Preinstalled Keycloak server
Ubuntu 24.04 LTS base for long-term stability and security updates
VM-based deployment across AWS, Azure, and Google Cloud
Web-based administrative console
Compatible with cloud networking, storage, and monitoring services

This environment supports centralized user identity and access control.

Core Technical Capabilities

Keycloak provides enterprise identity and authentication services:

Single Sign-On (SSO) and Single Logout
OAuth 2.0, OpenID Connect, and SAML support
User federation and directory integration
Role-based access control and fine-grained permissions
Multi-factor authentication (MFA)
Identity brokering and social login integration

Keycloak on Ubuntu 24.04 enables centralized and secure authentication management.

Deployment and Architecture

The deployment follows a cloud-native virtual machine architecture.

Single-instance Keycloak deployment on Ubuntu 24.04
Full administrative access to OS and IAM configuration
Compatible with relational databases and storage services
Integration-ready with enterprise applications and APIs
Expandable architecture for clustering and high availability

The setup supports development, staging, and production identity environments.

Scalability and Performance

Keycloak environments can scale based on user and authentication load.

Vertical scaling via cloud instance resizing
Horizontal scaling through clustering and load balancing
Integration with monitoring tools for performance visibility
Suitable for small applications through enterprise identity platforms

Security and Compliance

Security is supported through IAM-level and infrastructure-level controls.

Self-hosted architecture ensures control over identity data
Secure authentication protocols and token-based access
Role-based administrative access
Compatibility with cloud IAM policies, firewalls, and security groups
No mandatory third-party SaaS dependencies

Organizations retain authority over identity governance and compliance configurations.

Maintenance and Support

Free Maintenance Support by PCloudhosting is included.
Support includes:

Deployment validation
Configuration guidance
Update and upgrade assistance
Troubleshooting and operational best practices

PCloudhosting maintains the base image to ensure reliability and cloud compatibility.

Deploy on Your Preferred Cloud

One-Click Deployment from Cloud Marketplaces

Launch on AWS Marketplace

Launch on Azure Marketplace

Launch on GCP Marketplace

Common Use Cases

Keycloak on Ubuntu 24.04 is commonly used for:

Enterprise SSO implementation
API and application authentication
Identity federation and directory integration
Secure access control for web and mobile applications
Internal identity management platforms

Summary

This offering provides a cloud-ready Keycloak IAM environment on Ubuntu 24.04, enabling organizations to deploy secure and scalable identity and access management services on AWS, Azure, or Google Cloud with full control over infrastructure, user identities, and integrations.

Mtr-Cmd

ATHpcloud — Mon, 09 Feb 2026 06:05:08 +0000

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Mtr-Cmd on Ubuntu 24.04

Pre-Configured Network Diagnostic Environment

mtr-cmd on Ubuntu 24.04 provides a pre-configured network diagnostic environment combining traceroute and ping functionality for real-time network performance analysis. This offering deploys mtr-cmd on Ubuntu 24.04 on CLOUD_PLATFORM: AWS / Microsoft Azure / Google Cloud, running on Ubuntu 24.04 LTS, and is published and maintained by Pcloud. The solution delivers a ready-to-run mtr-cmd environment optimized for cloud infrastructure, enabling administrators and engineers to perform network path diagnostics without manual tool installation.

Platform Overview

The platform delivers a fully configured mtr-cmd on Ubuntu 24.04 environment for cloud-based network troubleshooting.

Preinstalled mtr (My Traceroute) command-line utility
Ubuntu 24.04 LTS base for long-term stability and security updates
VM-based deployment across AWS, Azure, and Google Cloud
CLI-based network performance and route analysis
Compatible with cloud networking, monitoring, and logging services

This environment supports network visibility and latency diagnostics.

Core Technical Capabilities

mtr-cmd provides integrated network path and performance analysis:

Combined traceroute and ping functionality
Real-time packet loss and latency monitoring
Hop-by-hop network route visualization
Continuous network performance statistics
IPv4 and IPv6 support
Scriptable output for automation and logging

mtr-cmd on Ubuntu 24.04 enables detailed end-to-end network path analysis.

Deployment and Architecture

The deployment follows a cloud-native virtual machine architecture.

Single-instance mtr-cmd environment on Ubuntu 24.04
Full administrative access to OS and network utilities
Compatible with VPCs, VNets, and cloud network architectures
Integration-ready with monitoring and DevOps workflows
Expandable architecture for distributed network diagnostics

The setup supports operational, testing, and troubleshooting environments.

Scalability and Performance

mtr-cmd environments can scale according to monitoring and testing needs.

Lightweight runtime with minimal resource overhead
Vertical scaling via cloud instance resizing
Suitable for continuous monitoring or on-demand diagnostics
Monitoring compatibility for system resource visibility

Security and Compliance

Security is managed through infrastructure-level controls.

Self-hosted environment ensuring control over diagnostic data
Role-based OS access control
Compatibility with cloud IAM policies, firewalls, and security groups
Secure command execution within controlled environments
No mandatory third-party SaaS dependencies

Organizations retain authority over network diagnostic operations and data governance.

Maintenance and Support

Free Maintenance Support by Pcloud is included.
Support includes:

Deployment validation
Configuration guidance
Update and upgrade assistance
Troubleshooting and operational best practices

Pcloud maintains the base image to ensure reliability and cloud compatibility.

Deploy on Your Preferred Cloud

One-Click Deployment from Cloud Marketplaces

Launch on AWS Marketplace

Launch on Azure Marketplace

Launch on GCP Marketplace

Common Use Cases

mtr-cmd on Ubuntu 24.04 is commonly used for:

Network latency troubleshooting
Path performance analysis
Infrastructure connectivity validation
DevOps network diagnostics
Cloud network performance monitoring

Summary

This offering provides a cloud-ready mtr-cmd network diagnostic environment on Ubuntu 24.04, enabling organizations to analyze network performance and routing paths on AWS, Azure, or Google Cloud with full control over infrastructure and diagnostic workflows.

PyGPT

ATHpcloud — Mon, 09 Feb 2026 04:54:03 +0000

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PyGPT on Ubuntu 24.04

Pre-Configured Python-Based Environment

PyGPT on Ubuntu 24.04 provides a pre-configured Python-based environment designed for developing and running GPT-powered applications, automation workflows, and AI integrations. This offering deploys PyGPT on Ubuntu 24.04 on CLOUD_PLATFORM: AWS / Microsoft Azure / Google Cloud, running on Ubuntu 24.04 LTS, and is published and maintained by PCloudhosting. The solution delivers a ready-to-run PyGPT environment optimized for cloud infrastructure, enabling developers and organizations to build AI-driven applications without manual dependency and runtime setup.

Platform Overview

The platform delivers a fully configured PyGPT on Ubuntu 24.04 environment for cloud-based AI application development.

Preinstalled Python runtime and AI-related libraries
Ubuntu 24.04 LTS base for long-term stability and security updates
VM-based deployment across AWS, Azure, and Google Cloud
Compatible with cloud networking, storage, and monitoring services
Suitable for AI development, automation, and integration workflows

This environment supports rapid development of GPT-enabled solutions.

Core Technical Capabilities

PyGPT provides a Python-based framework for AI and automation tasks:

Python scripting environment for AI application logic
Integration-ready architecture for language model APIs
Support for automation and workflow development
Extensible package ecosystem
API connectivity for external services
Development-friendly CLI and runtime tools

PyGPT on Ubuntu 24.04 enables structured AI application development and integration.

Deployment and Architecture

The deployment follows a cloud-native virtual machine architecture.

Single-instance PyGPT environment on Ubuntu 24.04
Full administrative access to OS and runtime configuration
Compatible with data storage and API integration services
Integration-ready with DevOps and automation pipelines
Expandable architecture for scaling AI workloads

The setup supports development, testing, and production AI environments.

Scalability and Performance

PyGPT environments can scale according to workload demands.

Vertical scaling via high-performance compute instances
Horizontal scaling through multiple service instances
Integration with monitoring tools for resource visibility

Suitable for small automation tasks through enterprise AI platforms

Security and Compliance

Security is managed through infrastructure and environment-level controls.

Self-hosted environment ensuring control over application data
Role-based OS access control
Secure HTTPS communication for APIs and services
Compatibility with cloud IAM policies, firewalls, and security groups
No mandatory third-party SaaS dependencies

Organizations retain authority over data governance and AI workflow security.

Maintenance and Support

Free Maintenance Support by PCloudhosting is included.
Support includes:

Deployment validation
Configuration guidance
Update and upgrade assistance
Troubleshooting and operational best practices

PCloudhosting maintains the base image to ensure reliability and cloud compatibility.

Deploy on Your Preferred Cloud

One-Click Deployment from Cloud Marketplaces

Launch on AWS Marketplace

Launch on Azure Marketplace

Launch on GCP Marketplace

Common Use Cases

PyGPT on Ubuntu 24.04 is commonly used for:

AI-powered application development
Workflow automation using language models
Chatbot and conversational systems
Data processing and AI integration tasks
Research and experimentation with GPT-based tools

Summary

This offering provides a cloud-ready PyGPT AI development environment on Ubuntu 24.04, enabling organizations to build and deploy GPT-enabled applications on AWS, Azure, or Google Cloud with full control over infrastructure, code, and integrations.

Qdrant

ATHpcloud — Fri, 06 Feb 2026 07:01:16 +0000

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Qdrant on Ubuntu 24.04

Pre-Configured Vector Database

Qdrant on Ubuntu 24.04 provides a pre-configured vector database environment designed for high-performance similarity search and AI-driven applications. This offering deploys Qdrant on Ubuntu 24.04 on CLOUD_PLATFORM: AWS / Microsoft Azure / Google Cloud, running on Ubuntu 24.04 LTS, and is published and maintained by PCloudhosting. The solution delivers a ready-to-run Qdrant environment optimized for cloud infrastructure, enabling organizations to build vector search, recommendation, and AI retrieval systems without manual database stack setup.

Platform Overview

The platform delivers a fully configured Qdrant on Ubuntu 24.04 environment for cloud-based vector search and AI workloads.

Preinstalled Qdrant vector database
Ubuntu 24.04 LTS base for long-term stability and security updates
VM-based deployment across AWS, Azure, and Google Cloud
REST and gRPC API accesswith cloud networking, storage, and monitoring services

This environment supports modern AI and semantic search architectures.

Core Technical Capabilities

Qdrant provides advanced vector database and similarity search features:

High-dimensional vector storage and indexing
Approximate nearest neighbor (ANN) search
Payload-based filtering and metadata support
Real-time indexing and search operations
RESTful and gRPC interfaces
Integration-ready with ML frameworks and embedding pipelines

Qdrant on Ubuntu 24.04 enables efficient vector-based data retrieval.

Deployment and Architecture

The deployment follows a cloud-native virtual machine architecture.

Single-instance Qdrant deployment on Ubuntu 24.04
Full administrative access to OS and database configuration
Compatible with storage and backup services
Integration-ready with AI pipelines, APIs, and applications
Expandable architecture for scaling vector workloads

The setup supports development, experimentation, and production AI environments.

Scalability and Performance

Qdrant environments can scale based on AI workload demands.

Optimized for high-performance vector search
Vertical scaling via cloud instance resizing
Horizontal scaling for distributed search scenarios
Monitoring compatibility for resource and query visibility

Suitable for research projects through enterprise AI search platforms.

Security and Compliance

Security is managed through infrastructure and database-level safeguards.

Self-hosted environment ensuring control over vector data
Role-based OS access control
Secure HTTPS and API communication
Compatibility with cloud IAM policies, firewalls, and security groups
No mandatory third-party SaaS dependencies

Organizations retain authority over data governance and compliance configurations.

Maintenance and Support

Free Maintenance Support by PCloudhosting is included.
Support includes:

Deployment validation
Configuration guidance
Update and upgrade assistance
Troubleshooting and operational best practices

PCloudhosting maintains the base image to ensure reliability and cloud compatibility.

Deploy on Your Preferred Cloud

One-Click Deployment from Cloud Marketplaces

Launch on AWS Marketplace

Launch on Azure Marketplace

Launch on GCP Marketplace

Common Use Cases

Qdrant on Ubuntu 24.04 is commonly used for:

Semantic search systems
Recommendation engines
AI-powered chat and retrieval systems
Image and multimedia similarity search
Vector-based analytics platforms

Summary

This offering provides a cloud-ready Qdrant vector database environment on Ubuntu 24.04, enabling organizations to operate AI-driven search and similarity platforms on AWS, Azure, or Google Cloud with full control over infrastructure, vector data, and integrations.

Ultralytics

ATHpcloud — Fri, 06 Feb 2026 06:13:31 +0000

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Ultralytics on Ubuntu 24.04

Deep Learning Environment

Ultralytics v8 on Ubuntu 24.04 provides a pre-configured computer vision and deep learning environment built around the Ultralytics YOLOv8 framework. This offering deploys Ultralytics v8 on Ubuntu 24.04 on CLOUD_PLATFORM: AWS / Microsoft Azure / Google Cloud, running on Ubuntu 24.04 LTS, and is published and maintained by pCloudHosting. The solution delivers a ready-to-run AI/ML environment optimized for cloud infrastructure, enabling developers and data teams to build, train, and deploy computer vision models without manual dependency setup.

Platform Overview

The platform delivers a fully configured Ultralytics v8 on Ubuntu 24.04 machine learning environment for cloud-based AI workloads.

Preinstalled Ultralytics YOLOv8 framework
Python runtime and required ML libraries
Ubuntu 24.04 LTS base for long-term stability and security updates
VM-based deployment across AWS, Azure, and Google Cloud
Compatible with cloud networking, storage, and GPU-enabled instances

This environment supports computer vision research, development, and production inference.

Core Technical Capabilities

Ultralytics v8 provides modern computer vision capabilities:

Object detection, segmentation, and classification
Model training and fine-tuning pipelines
Real-time inference support
GPU acceleration compatibility
Python-based API and CLI tools
Integration with datasets and data pipelines

Ultralytics v8 on Ubuntu 24.04 enables end-to-end computer vision model lifecycle management.

Deployment and Architecture

The deployment follows a cloud-native virtual machine architecture.

Single-instance ML environment on Ubuntu 24.04
Full administrative access to OS and ML framework configuration
Compatible with GPU and CPU instance types
Integration-ready with data storage, CI/CD, and MLOps pipelines
Expandable architecture for distributed training and inference

The setup supports development, experimentation, and production AI deployments.

Scalability and Performance

Ultralytics v8 environments can scale according to workload demands.

Vertical scaling via high-performance compute or GPU instances
Horizontal scaling for distributed training or inference
Integration with monitoring tools for resource visibility
Suitable for research projects through enterprise AI platforms

Security and Compliance

Security is managed through infrastructure and environment-level controls.

Self-hosted environment ensuring control over datasets and models
Role-based OS access control
Secure HTTPS communication for APIs and services
Compatibility with cloud IAM policies, firewalls, and security groups
No mandatory third-party SaaS dependencies

Organizations retain authority over model data, training workflows, and compliance requirements.

Maintenance and Support

Free Maintenance Support by pCloudHosting is included.
Support includes:

Deployment validation
Configuration guidance
Update and upgrade assistance
Troubleshooting and operational best practices

pCloudHosting maintains the base image to ensure reliability and cloud compatibility.

Deploy on Your Preferred Cloud

One-Click Deployment from Cloud Marketplaces

Launch on AWS Marketplace

Launch on Azure Marketplace

Launch on GCP Marketplace

Common Use Cases

Ultralytics v8 on Ubuntu 24.04 is commonly used for:

Computer vision model development
Real-time object detection applications
Image and video analytics
AI research and experimentation
Edge and cloud-based inference systems

Summary

This offering provides a cloud-ready Ultralytics v8 computer vision environment on Ubuntu 24.04, enabling organizations to develop and deploy AI-powered vision solutions on AWS, Azure, or Google Cloud with full control over infrastructure, datasets, and ML workflows.