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What is Civo?

Establishing your workspace should be simple and free from complications. We've taken authentic user insights from our community into consideration to improve the developer experience significantly. Our pricing model is specifically designed for cloud-native applications, ensuring you are charged solely for the resources you use, without any concealed fees. Enhance your productivity with leading launch times that facilitate rapid project starts. Accelerate your development processes, encourage creativity, and achieve outcomes swiftly. Experience ultra-fast, efficient, managed Kubernetes solutions that empower you to host applications and modify resources as needed, boasting 90-second cluster launch times and a no-cost control plane. Take advantage of enterprise-level computing instances built on Kubernetes, complete with support across multiple regions, DDoS protection, bandwidth pooling, and an all-encompassing set of developer tools. Enjoy a fully managed, auto-scaling machine learning environment that requires no prior knowledge of Kubernetes or machine learning. Effortlessly configure and scale managed databases directly through your Civo dashboard or via our developer API, enabling you to modify your resources based on your requirements while only paying for what you use. This strategy not only streamlines your workflow but also empowers you to concentrate on what truly matters: driving innovation and fostering growth. Additionally, with our user-friendly interface, you can easily navigate through various features to enhance your overall experience.

What is Amazon EC2 P4 Instances?

Amazon's EC2 P4d instances are designed to deliver outstanding performance for machine learning training and high-performance computing applications within the cloud. Featuring NVIDIA A100 Tensor Core GPUs, these instances are capable of achieving impressive throughput while offering low-latency networking that supports a remarkable 400 Gbps instance networking speed. P4d instances serve as a budget-friendly option, allowing businesses to realize savings of up to 60% during the training of machine learning models and providing an average performance boost of 2.5 times for deep learning tasks when compared to previous P3 and P3dn versions. They are often utilized in large configurations known as Amazon EC2 UltraClusters, which effectively combine high-performance computing, networking, and storage capabilities. This architecture enables users to scale their operations from just a few to thousands of NVIDIA A100 GPUs, tailored to their particular project needs. A diverse group of users, such as researchers, data scientists, and software developers, can take advantage of P4d instances for a variety of machine learning tasks including natural language processing, object detection and classification, as well as recommendation systems. Additionally, these instances are well-suited for high-performance computing endeavors like drug discovery and intricate data analyses. The blend of remarkable performance and the ability to scale effectively makes P4d instances an exceptional option for addressing a wide range of computational challenges, ensuring that users can meet their evolving needs efficiently.