Best AI tools for< Deploy Cloud Resources >

Pulumi is an AI-powered infrastructure as code tool that allows engineers to manage cloud infrastructure using various programming languages like Node.js, Python, Go, .NET, Java, and YAML. It offers features such as generative AI-powered cloud management, security enforcement through policies, automated deployment workflows, asset management, compliance remediation, and AI insights over the cloud. Pulumi helps teams provision, automate, and evolve cloud infrastructure, centralize and secure secrets management, and gain security, compliance, and cost insights across all cloud assets.

Google for Developers provides developers with tools, resources, and documentation to build apps for Android, Chrome, ChromeOS, Cloud, Firebase, Flutter, Google AI Studio, Google Maps Platform, Google Workspace, TensorFlow, and YouTube. It also offers programs and events for developers to learn and connect with each other.

Nomi.cloud is a modern AI-powered CloudOps and HPC assistant designed for next-gen businesses. It offers developers, marketplace, enterprise solutions, and pricing console. With features like single pane of glass view, instant deployment, continuous monitoring, AI-powered insights, and budgets & alerts built-in, Nomi.cloud aims to revolutionize cloud management. It provides a user-friendly interface to manage infrastructure efficiently, optimize costs, and deploy resources across multiple regions with ease. Nomi.cloud is built for scale, trusted by enterprises, and offers a range of GPUs and cloud providers to suit various needs.

Together AI is an AI Acceleration Cloud platform that offers fast inference, fine-tuning, and training services. It provides self-service NVIDIA GPUs, model deployment on custom hardware, AI chat app, code execution sandbox, and tools to find the right model for specific use cases. The platform also includes a model library with open-source models, documentation for developers, and resources for advancing open-source AI. Together AI enables users to leverage pre-trained models, fine-tune them, or build custom models from scratch, catering to various generative AI needs.

GrapixAI is a leading provider of low-cost cloud GPU rental services and AI server solutions. The company's focus on flexibility, scalability, and cutting-edge technology enables a variety of AI applications in both local and cloud environments. GrapixAI offers the lowest prices for on-demand GPUs such as RTX4090, RTX 3090, RTX A6000, RTX A5000, and A40. The platform provides Docker-based container ecosystem for quick software setup, powerful GPU search console, customizable pricing options, various security levels, GUI and CLI interfaces, real-time bidding system, and personalized customer support.

Nebius AI is an AI-centric cloud platform designed to handle intensive workloads efficiently. It offers a range of advanced features to support various AI applications and projects. The platform ensures high performance and security for users, enabling them to leverage AI technology effectively in their work. With Nebius AI, users can access cutting-edge AI tools and resources to enhance their projects and streamline their workflows.

Heroku is a cloud platform that enables developers to build, deliver, monitor, and scale applications quickly and easily. It supports multiple programming languages and provides a seamless deployment process. With Heroku, developers can focus on coding without worrying about infrastructure management.

Lambda Docs is an AI tool that provides cloud and hardware solutions for individuals, teams, and organizations. It offers services such as Managed Kubernetes, Preinstalled Kubernetes, Slurm, and access to GPU clusters. The platform also provides educational resources and tutorials for machine learning engineers and researchers to fine-tune models and deploy AI solutions.

VeroCloud is a platform offering tailored solutions for AI, HPC, and scalable growth. It provides cost-effective cloud solutions with guaranteed uptime, performance efficiency, and cost-saving models. Users can deploy HPC workloads seamlessly, configure environments as needed, and access optimized environments for GPU Cloud, HPC Compute, and Tally on Cloud. VeroCloud supports globally distributed endpoints, public and private image repos, and deployment of containers on secure cloud. The platform also allows users to create and customize templates for seamless deployment across computing resources.

Nscale is a full-stack, scalable, and sustainable AI cloud platform that offers a wide range of AI services and solutions. It provides services for developing, training, tuning, and deploying AI models using on-demand services. Nscale also offers serverless inference API endpoints, fine-tuning capabilities, private cloud solutions, and various GPU clusters engineered for AI. The platform aims to simplify the journey from AI model development to production, offering a marketplace for AI/ML tools and resources. Nscale's infrastructure includes data centers powered by renewable energy, high-performance GPU nodes, and optimized networking and storage solutions.

FluidStack is a leading GPU cloud platform designed for AI and LLM (Large Language Model) training. It offers unlimited scale for AI training and inference, allowing users to access thousands of fully-interconnected GPUs on demand. Trusted by top AI startups, FluidStack aggregates GPU capacity from data centers worldwide, providing access to over 50,000 GPUs for accelerating training and inference. With 1000+ data centers across 50+ countries, FluidStack ensures reliable and efficient GPU cloud services at competitive prices.

DORA is a research program by Google Cloud that focuses on understanding the capabilities driving software delivery and operations performance. It helps teams apply these capabilities to enhance organizational performance. The program introduces the DORA AI Capabilities Model, identifying key technical and cultural practices that amplify the positive impacts of AI on performance. DORA offers resources, guides, and tools like the DORA Quick Check to help organizations improve their software delivery goals.

The AI Safety Initiative is a premier coalition of trusted experts that aims to develop and deliver essential AI guidance and tools for organizations to deploy safe, responsible, and compliant AI solutions. Through vendor-neutral research, training programs, and global industry experts, the initiative provides authoritative AI best practices and tools. It offers certifications, training, and resources to help organizations navigate the complexities of AI governance, compliance, and security. The initiative focuses on AI technology, risk, governance, compliance, controls, and organizational responsibilities.

Substratus.AI is a fully managed private LLMs platform that allows users to serve LLMs (Llama and Mistral) in their own cloud account. It enables users to keep control of their data while reducing OpenAI costs by up to 10x. With Substratus.AI, users can utilize LLMs in production in hours instead of weeks, making it a convenient and efficient solution for AI model deployment.

OpenPlayground is a cloud-based platform that provides access to a variety of AI tools and resources. It allows users to train and deploy machine learning models, access pre-trained models, and collaborate on AI projects. OpenPlayground is designed to make AI more accessible and easier to use for everyone, from beginners to experienced data scientists.

Qualcomm AI Hub is a platform that allows users to run AI models on Snapdragon® 8 Elite devices. It provides a collaborative ecosystem for model makers, cloud providers, runtime, and SDK partners to deploy on-device AI solutions quickly and efficiently. Users can bring their own models, optimize for deployment, and access a variety of AI services and resources. The platform caters to various industries such as mobile, automotive, and IoT, offering a range of models and services for edge computing.

Seldon is an MLOps platform that helps enterprises deploy, monitor, and manage machine learning models at scale. It provides a range of features to help organizations accelerate model deployment, optimize infrastructure resource allocation, and manage models and risk. Seldon is trusted by the world's leading MLOps teams and has been used to install and manage over 10 million ML models. With Seldon, organizations can reduce deployment time from months to minutes, increase efficiency, and reduce infrastructure and cloud costs.

Cerebium is a serverless AI infrastructure platform that allows teams to build, test, and deploy AI applications quickly and efficiently. With a focus on speed, performance, and cost optimization, Cerebium offers a range of features and tools to simplify the development and deployment of AI projects. The platform ensures high reliability, security, and compliance while providing real-time logging, cost tracking, and observability tools. Cerebium also offers GPU variety and effortless autoscaling to meet the diverse needs of developers and businesses.

Paperspace is an AI tool designed to develop, train, and deploy AI models of any size and complexity. It offers a cloud GPU platform for accelerated computing, with features such as GPU cloud workflows, machine learning solutions, GPU infrastructure, virtual desktops, gaming, rendering, 3D graphics, and simulation. Paperspace provides a seamless abstraction layer for individuals and organizations to focus on building AI applications, offering low-cost GPUs with per-second billing, infrastructure abstraction, job scheduling, resource provisioning, and collaboration tools.

Azure AI Platform by Microsoft offers a comprehensive suite of artificial intelligence services and tools for developers and businesses. It provides a unified platform for building, training, and deploying AI models, as well as integrating AI capabilities into applications. With a focus on generative AI, multimodal models, and large language models, Azure AI empowers users to create innovative AI-driven solutions across various industries. The platform also emphasizes content safety, scalability, and agility in managing AI projects, making it a valuable resource for organizations looking to leverage AI technologies.

This repository, 'awesome-mcp-servers-devops', is a curated list of Model Context Protocol servers for DevOps workflows. It includes servers for various aspects of DevOps such as infrastructure, CI/CD, monitoring, security, and cloud operations. The repository provides information on different MCP servers available for tools like GitHub, GitLab, Azure DevOps, Gitea, Terraform, Vault, Pulumi, Kubernetes, Docker Hub, Portainer, Qovery, various command line and local operation tools, browser automation tools, code execution tools, coding agents, aggregators, CI/CD tools like Argo CD, Jenkins, GitHub Actions, Codemagic, DevOps visibility tools, build tools, cloud platforms like AWS, Azure, Cloudflare, Alibaba Cloud, observability tools like Grafana, Datadog, Prometheus, VictoriaMetrics, Alertmanager, APM & monitoring tools, security tools like Snyk, Semgrep, and community security servers, collaboration tools like Atlassian, Jira, project management tools, service desks, Notion, and more.

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