OpenMetal delivers hosted private cloud and bare metal infrastructure for organizations that have outgrown public cloud pricing or need more control than a hyperscaler will give them.
Built on OpenStack and Ceph, our platform gives you a fully managed private cloud without the cost and complexity of building your own from the ground up. You get dedicated hardware, root-level access, and a transparent fixed-cost model so your infrastructure bill stays predictable as your workloads grow.
Need bare metal without the private cloud overhead? Our dedicated bare metal servers deploy in minutes and can run standalone or integrate directly with an OpenMetal private cloud. Same fixed pricing, same dedicated hardware, no shared resources.
OpenMetal is built for engineering teams, DevOps, and infrastructure leads who are done deciphering complex cloud bills and being financially punished for their growth.
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BigQuery is a serverless, multicloud data warehouse that makes working with all types of data effortless, allowing you to focus on extracting valuable business insights quickly. As a central component of Google’s data cloud, it streamlines data integration, enables cost-effective and secure scaling of analytics, and offers built-in business intelligence for sharing detailed data insights. With a simple SQL interface, it also supports training and deploying machine learning models, helping to foster data-driven decision-making across your organization. Its robust performance ensures that businesses can handle increasing data volumes with minimal effort, scaling to meet the needs of growing enterprises.
Gemini within BigQuery brings AI-powered tools that enhance collaboration and productivity, such as code recommendations, visual data preparation, and intelligent suggestions aimed at improving efficiency and lowering costs. The platform offers an all-in-one environment with SQL, a notebook, and a natural language-based canvas interface, catering to data professionals of all skill levels. This cohesive workspace simplifies the entire analytics journey, enabling teams to work faster and more efficiently.
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LanceDB
LanceDB is an accessible, open-source database specifically designed for AI development. It offers features such as hyperscalable vector search and sophisticated retrieval capabilities for Retrieval-Augmented Generation (RAG), along with support for streaming training data and the interactive analysis of extensive AI datasets, making it an ideal foundation for AI applications. The installation process takes only seconds, and it integrates effortlessly into your current data and AI toolchain. As an embedded database—similar to SQLite or DuckDB—LanceDB supports native object storage integration, allowing it to be deployed in various environments and efficiently scale to zero when inactive. Whether for quick prototyping or large-scale production, LanceDB provides exceptional speed for search, analytics, and training involving multimodal AI data. Notably, prominent AI companies have indexed vast numbers of vectors and extensive volumes of text, images, and videos at a significantly lower cost compared to other vector databases. Beyond mere embedding, it allows for filtering, selection, and streaming of training data directly from object storage, thereby ensuring optimal GPU utilization for enhanced performance. This versatility makes LanceDB a powerful tool in the evolving landscape of artificial intelligence.
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Nexthop NOS
Nexthop AI presents a suite of software solutions that form an integral part of a comprehensive infrastructure platform aimed at developing exceptionally efficient networking systems tailored for expansive artificial intelligence and cloud-based environments. The company prioritizes the creation of seamlessly integrated networking hardware and solutions that cater to the rigorous demands of hyperscale data centers, which are essential for AI training and inference tasks. Rather than providing standard networking products, Nexthop collaborates extensively with cloud service providers to jointly develop customized infrastructure that meets their unique deployment needs, encompassing network operating systems, switching devices, optical and electrical interconnections, and software components specifically designed for large AI clusters. Furthermore, its technology stack is engineered to work in harmony with open network operating systems like SONiC, while enhancing reliability, fine-tuning performance, and incorporating essential operational features suitable for hyperscale environments. By focusing on bespoke solutions, Nexthop AI ensures that its offerings not only meet the current needs of clients but also adapt to future technological advancements in the field of AI and networking.
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