Serverless Machine Learning

Green Cloud is a subscription service for software services to perform cloud computing tasks such as Function As A Service, Storage and Database.

Sumatra gives teams building AI-driven apps a simple solution to ship and iterate fast without sacrificing security, customization, or scale.

Develop on serverless GPUs, deploy highly performant APIs, and rapidly prototype cloud applications — without managing any infrastructure.

The Pinecone vector database makes it easy to build high-performance vector search applications. Developer-friendly, fully managed, and easily scalable without infrastructure hassles.

Enable MLOps with cloud-agnostic model monitoring and data monitoring via the WhyLabs AI Observability Platform. Supports any data, at any scale.

Gantry helps you improve your ML products with analytics, alerting, and human feedback.

Increase model velocity and improve AI outcomes with Arize AI’s ML observability platform. Discover issues, diagnose problems, and improve performance.

Build machine learning models in a simplified way with machine learning platforms from Azure. Machine learning as a service increases accessibility and efficiency.

Cerebrium makes it easy to launch machine learning models in the cloud and scale up as you grow – with serverless GPU’s, model versioning, shadow deployments and more.

Build, train, and deploy machine learning (ML) models for any use case with fully managed infrastructure, tools, and workflows.

Banana provides inference hosting on serverless GPUs for machine learning models. It allows you to deploy in three easy steps and a single line of code.

An MLOps platform purpose-built for Pioneers. With Valohai, ML Pioneers push machine learning to completely new frontiers.

Manage all your model-building metadata in a single place. Track experiments, register models, integrate with any MLOps tool stack.

Track, compare, and reproduce your ML experiments with Comet's machine learning platform. Leverage insights to build better models, faster.

WandB is a central dashboard to keep track of your hyperparameters, system metrics, and predictions so you can compare models live, and share your findings.

A GPU-enabled Deep Learning Model Training and Hyperparameter platform that lets you start training models on GPUs without the fuss of server management, SSH tunnelling, or data and library management gymnastics.

Streamlit is an open-source app framework for Machine Learning and Data Science teams.

GitHub Pages is a static site hosting service that takes HTML, CSS, and JavaScript files straight from a repository on GitHub, optionally runs the files through a build process, and publishes a website.

Amazon EMR is a cloud big data platform for running large-scale distributed data processing jobs, interactive SQL queries, and machine learning applications using open-source analytics frameworks such as Apache Spark, Apache Hive, and Presto.

Dataproc is a fully managed and highly scalable service for running Apache Hadoop, Apache Spark, Apache Flink, Presto, and 30+ open source tools and frameworks.

Chalice is a framework for writing serverless apps in python. It allows you to quickly create and deploy applications that use AWS Lambda.

A fully managed compute platform that automatically scales containers. Build apps in your favorite language and deploy them in seconds.

Immerok is a leading contributor to Apache Flink®, building a new, fully managed Apache Flink cloud service for real-time stream processing apps at any scale.

Workflows is a fully-managed orchestration platform that executes services in an order that you define: a workflow.

AWS Step Functions is a visual workflow service that helps developers use AWS services to build distributed applications, automate processes, orchestrate microservices, and create data and machine learning (ML) pipelines.

A python-centric feature store with the most complete MLOps capabilities. Collaborate and create an effective pipeline on all of your AI data, and bring your models to production.

A cloud object storage with industry-leading scalability, data availability, security, and performance.

A limitless analytics service that brings together data integration, enterprise data warehousing, and big data analytics.

Cloud Storage is a managed service for storing unstructured data. Store any amount of data and retrieve it as often as you like.

BigQuery is a serverless, cost-effective and multicloud data warehouse designed to help you turn big data into valuable business insights.

Databricks combines data warehouses & data lakes into a lakehouse architecture.

A single, global platform that powers the Data Cloud. Snowflake is uniquely designed to connect businesses globally, across any type or scale of data and many different workloads, and unlock seamless data collaboration.

A fully managed, petabyte-scale data warehouse service in the cloud.

Delta Lake is an open-source storage layer that brings ACID (atomicity, consistency, isolation, and durability) transactions to Apache Spark and big data workloads.

Tools for building applications using machine learning.

Decodable is a real-time stream processing platform.

Modal lets you run or deploy machine learning models, massively parallel compute jobs, task queues, web apps, and much more, without your own infrastructure.