AI Tools ""

Apache CloudStack enables the deployment and management of large networks of virtual machines (VMs) with high availability and scalability. The platform provides complete management of infrastructure as a service (IaaS), including computing, storage, and networking, with support for public, private, and hybrid cloud environments. It includes multi-user and multi-role management tools, support for non-disruptive cloud expansion, and automation of Kubernetes deployment and management via its own Kubernetes provider, with the ability to use Terraform to facilitate infrastructure management as code.

CloudBolt enables intelligent and efficient management of any cloud environment—whether public, private, or hybrid. The platform includes tools for automation, build, manage, and optimize, with capabilities for Kubernetes resource allocation, cost management (FinOps), and comprehensive cloud reporting, with access control, resource distribution, and integration with existing enterprise tools. The platform aims to reduce manual work, improve performance, and deliver financial value directly to management teams.

OpenNebula offers a comprehensive platform for managing cloud infrastructure and virtual computing, including management of virtual machines, physical servers, and networks, with support for automation, scalability, and enterprise security. The platform supports integration with Kubernetes, GPU, and enterprise tools such as Veeam and NetApp, and enables the management of private, public, and hybrid clouds, providing a ready-made environment for creating artificial intelligence factories and running complex applications.

OpenStack provides a set of software components for managing cloud infrastructure, including virtual computing devices, physical servers, and containers. The platform enables resource management via application programming interfaces (APIs) or a control panel, with support for advanced features such as automatic provisioning, fault management, and service management to ensure application availability and performance integrity.

Caffe is a deep learning framework designed to combine expressiveness, speed, and flexibility. It allows models and training methods to be defined via configuration files rather than hard-coded programming, and supports easy switching between CPUs and GPUs. It is used in computer vision, multimedia processing, image recognition, speech, and various neural networks, allowing users to quickly and efficiently implement research and industrial models.

Anaconda provides an integrated environment for managing Python packages, creating and running notebooks, developing big data projects and intelligent models, and securely sharing projects with teams. It also gives users access to thousands of packages specializing in data science and artificial intelligence, with educational tools for learning Python, ML, and AI.