CoreWeave vs. Google Cloud AI Infrastructure Comparison Chart

RunPod offers a cloud-based platform designed for running AI workloads, focusing on providing scalable, on-demand GPU resources to accelerate machine learning (ML) model training and inference. With its diverse selection of powerful GPUs like the NVIDIA A100, RTX 3090, and H100, RunPod supports a wide range of AI applications, from deep learning to data processing. The platform is designed to minimize startup time, providing near-instant access to GPU pods, and ensures scalability with autoscaling capabilities for real-time AI model deployment. RunPod also offers serverless functionality, job queuing, and real-time analytics, making it an ideal solution for businesses needing flexible, cost-effective GPU resources without the hassle of managing infrastructure.

Compute Engine is Google's infrastructure as a service (IaaS) platform for organizations to create and run cloud-based virtual machines. Computing infrastructure in predefined or custom machine sizes to accelerate your cloud transformation. General purpose (E2, N1, N2, N2D) machines provide a good balance of price and performance. Compute optimized (C2) machines offer high-end vCPU performance for compute-intensive workloads. Memory optimized (M2) machines offer the highest memory and are great for in-memory databases. Accelerator optimized (A2) machines are based on the A100 GPU, for very demanding applications. Integrate Compute with other Google Cloud services such as AI/ML and data analytics. Make reservations to help ensure your applications have the capacity they need as they scale. Save money just for running Compute with sustained-use discounts, and achieve greater savings when you use committed-use discounts.

Build, deploy, and scale machine learning (ML) models faster, with fully managed ML tools for any use case. Through Vertex AI Workbench, Vertex AI is natively integrated with BigQuery, Dataproc, and Spark. You can use BigQuery ML to create and execute machine learning models in BigQuery using standard SQL queries on existing business intelligence tools and spreadsheets, or you can export datasets from BigQuery directly into Vertex AI Workbench and run your models from there. Use Vertex Data Labeling to generate highly accurate labels for your data collection. Vertex AI Agent Builder enables developers to create and deploy enterprise-grade generative AI applications. It offers both no-code and code-first approaches, allowing users to build AI agents using natural language instructions or by leveraging frameworks like LangChain and LlamaIndex.

With our comprehensive suite of scalable cloud services, you can build your cloud server, your way. Kamatera’s infrastructure specializes in VPS hosting, with a choice of 24 data centers worldwide, including 8 data centers across the US as well as locations in Europe, Asia, and the Middle East. Our enterprise-grade cloud servers can meet your needs at every stage. We use cutting-edge hardware, such as Ice Lake Processors and NVMe SSD, to deliver consistent speed and 99.95% uptime. With a robust service like ours, you can expect plenty of great features, such as fantastic hardware, flexible and scalable cloud setup, fully managed hosting, windows server hosting, data security and safety, consultation, server migration, and disaster recovery. Our technical staff is always on duty, with 24/7 live support to assist you across all time zones. And our flexible, predictable pricing plans means you’ll only pay for what you use with our hourly or monthly billing options.

Google Cloud is a cloud-based service that allows you to create anything from simple websites to complex applications for businesses of all sizes. New customers get $300 in free credits to run, test, and deploy workloads. All customers can use 25+ products for free, up to monthly usage limits. Use Google's core infrastructure, data analytics & machine learning. Secure and fully featured for all enterprises. Tap into big data to find answers faster and build better products. Grow from prototype to production to planet-scale, without having to think about capacity, reliability or performance. From virtual machines with proven price/performance advantages to a fully managed app development platform. Scalable, resilient, high performance object storage and databases for your applications. State-of-the-art software-defined networking products on Google’s private fiber network. Fully managed data warehousing, batch and stream processing, data exploration, Hadoop/Spark, and messaging.

phoenixNAP is a global IaaS provider delivering world-class infrastructure solutions from strategic edge locations in the U.S., Europe, Asia-Pacific, Australia, and Latin America. Specializing in performance, security, and availability, the company provides vastly redundant systems, unsurpassed security, high-density deployments, and flexibility to service from ¼ cabinets to private cage environments. Its Bare Metal Cloud solution provides access to 3rd Gen Intel® Xeon® Scalable Processors for advanced infrastructure performance and reliability. phoenixNAP offers a 100% uptime guarantee, an extensive server lineup, global connectivity options, flexible SLAs, and 24x7x365 live support to help businesses achieve their business objectives. Deploy high-performance, scalable cloud solutions for your growing IT needs, along with the security and reliability that you require at opex-friendly pricing plans.

Run code without thinking about servers. Pay only for the compute time you consume. AWS Lambda lets you run code without provisioning or managing servers. You pay only for the compute time you consume. With Lambda, you can run code for virtually any type of application or backend service - all with zero administration. Just upload your code and Lambda takes care of everything required to run and scale your code with high availability. You can set up your code to automatically trigger from other AWS services or call it directly from any web or mobile app. AWS Lambda automatically runs your code without requiring you to provision or manage servers. Just write the code and upload it to Lambda. AWS Lambda automatically scales your application by running code in response to each trigger. Your code runs in parallel and processes each trigger individually, scaling precisely with the size of the workload.

LM-Kit.NET is a cutting-edge, high-level inference SDK designed specifically to bring the advanced capabilities of Large Language Models (LLM) into the C# ecosystem. Tailored for developers working within .NET, LM-Kit.NET provides a comprehensive suite of powerful Generative AI tools, making it easier than ever to integrate AI-driven functionality into your applications. The SDK is versatile, offering specialized AI features that cater to a variety of industries. These include text completion, Natural Language Processing (NLP), content retrieval, text summarization, text enhancement, language translation, and much more. Whether you are looking to enhance user interaction, automate content creation, or build intelligent data retrieval systems, LM-Kit.NET offers the flexibility and performance needed to accelerate your project.

Delska (former DEAC European Data Center & Data Logistics Center) is a carrier-neutral data center and network provider in Northern Europe with 25 years of experience delivering reliable, personalized IT and network solutions in cloud computing, colocation, data security, network, and more. We own five data centers (one under construction, launching in 2025) in Riga and Vilnius, along with points of presence in Frankfurt, Amsterdam, and Stockholm. For quick IT infrastructure deployment in Riga, Vilnius and Frankfurt, we have created the self-service myDelska cloud platform. It offers fast, secure, and scalable solutions and, in the summer of 2025, along with the VM management, will also offer bare metal servers. Delska data centers stand out for their energy efficiency, operating at PUE under 1.3 and powered entirely by green energy. Our upcoming Tier III-certified, 10 MW data center in Riga will exemplify green construction.

Google AI Studio is a comprehensive, web-based development environment that democratizes access to Google's cutting-edge AI models, notably the Gemini family, enabling a broad spectrum of users to explore and build innovative applications. This platform facilitates rapid prototyping by providing an intuitive interface for prompt engineering, allowing developers to meticulously craft and refine their interactions with AI. Beyond basic experimentation, AI Studio supports the seamless integration of AI capabilities into diverse projects, from simple chatbots to complex data analysis tools. Users can rigorously test different prompts, observe model behaviors, and iteratively refine their AI-driven solutions within a collaborative and user-friendly environment. This empowers developers to push the boundaries of AI application development, fostering creativity and accelerating the realization of AI-powered solutions.