Baseten vs. Ray 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.

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.

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.

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.

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.

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.

Amazon Bedrock is a fully managed service that simplifies building and scaling generative AI applications by providing access to a variety of high-performing foundation models (FMs) from leading AI companies such as AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon itself. Through a single API, developers can experiment with these models, customize them using techniques like fine-tuning and Retrieval Augmented Generation (RAG), and create agents that interact with enterprise systems and data sources. As a serverless platform, Amazon Bedrock eliminates the need for infrastructure management, allowing seamless integration of generative AI capabilities into applications with a focus on security, privacy, and responsible AI practices.

Dragonfly is a drop-in Redis replacement that cuts costs and boosts performance. Designed to fully utilize the power of modern cloud hardware and deliver on the data demands of modern applications, Dragonfly frees developers from the limits of traditional in-memory data stores. The power of modern cloud hardware can never be realized with legacy software. Dragonfly is optimized for modern cloud computing, delivering 25x more throughput and 12x lower snapshotting latency when compared to legacy in-memory data stores like Redis, making it easy to deliver the real-time experience your customers expect. Scaling Redis workloads is expensive due to their inefficient, single-threaded model. Dragonfly is far more compute and memory efficient, resulting in up to 80% lower infrastructure costs. Dragonfly scales vertically first, only requiring clustering at an extremely high scale. This results in a far simpler operational model and a more reliable system.

Convesio is a next-generation hosting and payment platform built to help commerce businesses grow faster, smarter, and more securely. Designed for WordPress and WooCommerce, Convesio combines high-performance hosting with an integrated payment ecosystem — ConvesioPay — that streamlines how merchants accept, process, and manage transactions online. With ConvesioPay, businesses get access to fast, secure payment processing that’s deeply connected to their hosting environment. This means lower latency, fewer plugin conflicts, and real-time visibility into revenue performance — all from a single dashboard. Combined with Convesio’s scalable container-based hosting, built-in caching, and advanced uptime management, the result is an optimized foundation for conversion, reliability, and growth. From startups to enterprise-level ecommerce operations, Convesio empowers merchants to focus on selling — not managing servers or chasing integrations.

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.