Alternatives to Google Cloud

IBM is a global technology and consulting company that provides integrated solutions and services, including cloud, AI, software, and hardware.

Lambda provides on-demand and reserved cloud GPU instances for AI development and machine learning workloads.

Microsoft's cloud computing platform offering a wide range of services for building, deploying, and managing applications.

GPU-as-a-Service platform for AI training, inference, rendering, and HPC workloads.

Microsoft Azure AI offers a comprehensive suite of cloud-based AI services and tools for building, deploying, and managing AI applications.

A provider of high-performance computing solutions, including GPU cloud services for AI.

Sovereign AI infrastructure for Saudi Arabia, featuring micro datacenters and Arabic AI models.

Affordable GPU cloud infrastructure for AI and machine learning workloads.

Global e-commerce, cloud computing, digital streaming, and artificial intelligence giant.

Managed GPU cloud for AI inference at open-market rates, offering H100/H200 GPUs.

A vector search capability integrated into MongoDB's Atlas database platform for building AI-powered applications.

Cloud infrastructure and managed services provider for businesses.

A subsidiary of Amazon providing on-demand cloud computing platforms and APIs to individuals, companies, and governments.

Broadcom is a global technology leader designing, developing, and supplying semiconductor and infrastructure software solutions.

A unified data analytics and AI platform built on the lakehouse architecture.

A serverless Postgres database with separation of storage and compute.

High-performance, open-source vector search engine built in Rust for production-grade AI and machine learning workloads.

Generative AI platform for enterprises to build, train, and customize their own AI models.

WEKA is a data platform for AI and HPC workloads, delivering extreme performance for GPU clusters, genomics pipelines, and data-intensive applications.

Simplifies the deployment, governance, and operation of AI infrastructure at scale.

Fully managed serverless vector database for building scalable AI applications.

Managed vector database for building scalable, reliable, and accurate AI applications and search.

ScyllaDB is a high-performance, low-latency NoSQL database for data-intensive applications, designed to scale with modern infrastructure.

Virtualizes expensive AI hardware to enable efficient pooling, sharing, and allocation of resources.

Annapurna Labs invents the next generation of cloud computing infrastructure, focusing on compute, machine learning, storage, and networking.

A unified, fully managed platform for building, training, and deploying machine learning models at scale.

Software-defined storage solution, formerly Elastifile, integrated into IBM's portfolio for high-performance, scalable data management.

Elasticsearch-compatible search database offering 10x speed and 3x cost savings.

A continuous integration and continuous delivery (CI/CD) platform that automates software development workflows for developers.

A cloud-native database for building scalable, real-time applications with a focus on developer experience.

Exafunction provides a platform for deploying, managing, and scaling AI models and machine learning infrastructure.

Managed PostgreSQL database service designed for AI agents.

Serverless BigData optimization engine for cloud data warehouses, reducing costs with AI.

Impala AI provides an inference engine for enterprises to scale AI efficiently and affordably.

A real-time search analytics database unifying search and analytics in a single platform.

Infrastructure automation startup for AI projects.

SQream provides a GPU-accelerated data analytics platform for rapidly analyzing massive datasets at scale.

Profility's engine optimizes similarity functions and discovers data through evolutionary processes for healthcare patient data.

A global leader in providing data infrastructure semiconductor solutions.

Stratoscale provides AWS-compatible infrastructure and services for enterprise data centers, enabling hybrid cloud deployments.

Technology infrastructure and networking company providing enterprise solutions

Fully managed cloud service for accelerating and managing the machine learning project lifecycle.

NooBaa provides an open-source, S3-compatible object storage platform for managing data across private and public clouds.

Transient provides a platform for managing and orchestrating complex cloud-native applications and workflows.

Verda provides a cloud platform for developers to deploy and manage applications.

AI acceleration cloud platform for open source and enterprise.

Open source Firebase alternative with a PostgreSQL backend and real-time capabilities.

nscale provides a cloud-native platform for managing and optimizing Kubernetes deployments.

Platform for building, deploying, and scaling modern web applications instantly, offering a unified workflow for full-stack apps, APIs, data, and AI features.

edgX is a startup focused on developing an open-source edge computing platform for real-time AI and IoT applications.

Augury provides AI-driven machine health and process health solutions for manufacturers, transforming operations and enabling predictive maintenance.

Oracle Cloud Infrastructure provides a global cloud platform for enterprise applications, databases, and AI workloads.

Global leader in decision sciences and data analytics for Fortune 500 companies.

Data platform for apps and AI, unifying distributed data for analytics and AI innovation.

Serverless GPU cloud platform for cost-effective AI and machine learning compute.

Open-source, end-to-end MLOps platform for enterprise AI development and deployment.

Global GPU cloud infrastructure

Cloud data platform for mission-critical workloads, delivering on-premises performance and security.

ScaleOps provides an autonomous cloud and AI infrastructure platform that optimizes Kubernetes resources in real-time, reducing cloud spending by up to 80%.

Cloud computing service for AI model inference, optimizing costs by orchestrating global compute resources.