Best AI tools for< Deploy Cloud Platform >

Google Cloud is a suite of cloud computing services that runs on the same infrastructure as Google. Its services include computing, storage, networking, databases, machine learning, and more. Google Cloud is designed to make it easy for businesses to develop and deploy applications in the cloud. It offers a variety of tools and services to help businesses with everything from building and deploying applications to managing their infrastructure. Google Cloud is also committed to sustainability, and it has a number of programs in place to reduce its environmental impact.

LambdaTest is a next-generation mobile apps and cross-browser testing cloud platform that offers a wide range of testing services. It allows users to perform manual live-interactive cross-browser testing, run Selenium, Cypress, Playwright scripts on cloud-based infrastructure, and execute AI-powered automation testing. The platform also provides accessibility testing, real devices cloud, visual regression cloud, and AI-powered test analytics. LambdaTest is trusted by over 2 million users globally and offers a unified digital experience testing cloud to accelerate go-to-market strategies.

Amazon Web Services (AWS) is a comprehensive, evolving cloud computing platform from Amazon that provides a broad set of global compute, storage, database, analytics, application, and deployment services that help organizations move faster, lower IT costs, and scale applications. With AWS, you can use as much or as little of its services as you need, and scale up or down as required with only a few minutes notice. AWS has a global network of regions and availability zones, so you can deploy your applications and data in the locations that are optimal for you.

Modal is a high-performance cloud platform designed for developers, AI data, and ML teams. It offers a serverless environment for running generative AI models, large-scale batch jobs, job queues, and more. With Modal, users can bring their own code and leverage the platform's optimized container file system for fast cold boots and seamless autoscaling. The platform is engineered for large-scale workloads, allowing users to scale to hundreds of GPUs, pay only for what they use, and deploy functions to the cloud in seconds without the need for YAML or Dockerfiles. Modal also provides features for job scheduling, web endpoints, observability, and security compliance.

Salad is a distributed GPU cloud platform that offers fully managed and massively scalable services for AI applications. It provides the lowest priced AI transcription in the market, with features like image generation, voice AI, computer vision, data collection, and batch processing. Salad democratizes cloud computing by leveraging consumer GPUs to deliver cost-effective AI/ML inference at scale. The platform is trusted by hundreds of machine learning and data science teams for its affordability, scalability, and ease of deployment.

Apify is a full-stack web scraping and data extraction platform that offers a wide range of tools and services for developers to build, deploy, and publish web scrapers, AI agents, and automation tools. The platform provides pre-built web scraping tools, serverless programs, integrations with various apps and services, and AI agents equipped with Actors. Apify also offers solutions for building and monetizing MCP servers, as well as professional services for custom web scraping solutions. With a marketplace of over 6,000 Actors, Apify caters to a diverse range of use cases and industries, including generative AI, lead generation, market research, and sentiment analysis.

RunPod is a cloud platform specifically designed for AI development and deployment. It offers a range of features to streamline the process of developing, training, and scaling AI models, including a library of pre-built templates, efficient training pipelines, and scalable deployment options. RunPod also provides access to a wide selection of GPUs, allowing users to choose the optimal hardware for their specific AI workloads.

Lambda is a superintelligence cloud platform that offers on-demand GPU clusters for multi-node training and fine-tuning, private large-scale GPU clusters, seamless management and scaling of AI workloads, inference endpoints and API, and a privacy-first chat app with open source models. It also provides NVIDIA's latest generation infrastructure for enterprise AI. With Lambda, AI teams can access gigawatt-scale AI factories for training and inference, deploy GPU instances, and leverage the latest NVIDIA GPUs for high-performance computing.

DataRobot is a leading provider of AI cloud platforms. It offers a range of AI tools and services to help businesses build, deploy, and manage AI models. DataRobot's platform is designed to make AI accessible to businesses of all sizes, regardless of their level of AI expertise. DataRobot's platform includes a variety of features to help businesses build and deploy AI models, including: * A drag-and-drop interface that makes it easy to build AI models, even for users with no coding experience. * A library of pre-built AI models that can be used to solve common business problems. * A set of tools to help businesses monitor and manage their AI models. * A team of AI experts who can provide support and guidance to businesses using the platform.

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.

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.

Fifi.ai is a managed AI cloud platform that provides users with the infrastructure and tools to deploy and run AI models. The platform is designed to be easy to use, with a focus on plug-and-play functionality. Fifi.ai also offers a range of customization and fine-tuning options, allowing users to tailor the platform to their specific needs. The platform is supported by a team of experts who can provide assistance with onboarding, API integration, and troubleshooting.

Gretel.ai is a synthetic data platform purpose-built for AI applications. It allows users to generate artificial, synthetic datasets with the same characteristics as real data, enabling the improvement of AI models without compromising privacy. The platform offers APIs for generating anonymized and safe synthetic data, training generative AI models, and validating models with quality and privacy scores. Users can deploy Gretel for enterprise use cases and run it on various cloud platforms or in their own environment.

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.

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.

Heroku is a cloud platform that lets companies build, deliver, monitor, and scale apps. It simplifies the process of deploying applications by providing a seamless experience for developers. With Heroku, developers can focus on writing code without worrying about infrastructure management. The platform supports various programming languages and frameworks, making it versatile for different types of applications.

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.

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.

GPUX is a cloud platform that provides access to GPUs for running AI workloads. It offers a variety of features to make it easy to deploy and run AI models, including a user-friendly interface, pre-built templates, and support for a variety of programming languages. GPUX is also committed to providing a sustainable and ethical platform, and it has partnered with organizations such as the Climate Leadership Council to reduce its carbon footprint.

DBiz.ai is a high-performing product and engineering company that partners with organizations using AI-first strategies to develop digital solutions. They empower customers to preserve and enhance their current business while building the innovative future they desire through AI-driven solutions. DBiz.ai harnesses the power of AI technology to drive business success with innovative solutions, nurturing a thriving community and empowering humanity to ignite positive change using AI technology. They bridge the gap between end customer needs, business objectives, and IT organizations, inspiring and advising businesses to drive innovation and growth with cutting-edge BizDevOps strategy and advanced AI-enabled Platform Engineering Framework.

Tau is a framework for building low maintenance & highly scalable cloud computing platforms that software developers will love. It aims to solve the high cost and time required to build, deploy, and scale software by providing a developer-friendly platform that offers autonomy and flexibility. Tau simplifies the process of building and maintaining a cloud computing platform, enabling developers to achieve 'Local Coding Equals Global Production' effortlessly. With features like auto-discovery, content-addressing, and support for WebAssembly, Tau empowers users to create serverless computing environments, host frontends, manage databases, and more. The platform also supports E2E testing and can be extended using a plugin system called orbit.

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Cloud Mentor in AWS, Azure & Google Cloud for all your cloud related problems.

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Firebase Cloud Functions expert and guide.

Docker & cloud computing expert

Your Kubernetes and cloud-native tech guide

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Senior Java software engineer and cloud expert

Factual, clear guidance based on Microsoft Learn and GitHub Docs. Ask me about cloud native solutions, GitHub collaboration or certifications.

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Azure Arc expert providing guidance on architecture, deployment, and management.

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Expert advice on Azure, clear and concise.

Assistant for kubernetes environments managed by gitops

Guides from Terraform install to script deployment.

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