Question: I'm looking for a cloud computing service that specializes in AI development and provides on-demand GPU instances for training and inference.

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Lambda

If you're looking for a cloud computing service that's geared for AI development and offers on-demand GPU instances for training and inference, Lambda is a good option. You can provision on-demand and reserved NVIDIA GPU instances and clusters, including support for a range of GPUs like the H100, H200 and GH200 Tensor Core GPUs. Lambda also offers preconfigured ML environments, scalable file systems and pay-by-the-second pricing, which makes it a good option for developers and researchers who need to quickly provision and manage GPU instances for their projects.

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RunPod

Another good option is RunPod, which offers a globally distributed GPU cloud for developing, training and running AI models. The service lets you spin up GPU pods instantly with a range of GPU options, including MI300X and A100 PCIe. RunPod's serverless ML inference with autoscaling and job queuing, plus support for more than 50 preconfigured templates, makes it a good option for AI development. It also offers real-time logs and analytics, and a CLI tool for easy provisioning and deployment, which can help you automate your workflows.

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NVIDIA AI Platform

For companies that want to build AI into their business, the NVIDIA AI Platform is a more complete option. It's a full-stack innovation that combines accelerated infrastructure, enterprise-grade software and AI models. The platform is designed to accelerate the data science pipeline and make it easier to develop and deploy production AI applications. It can handle multi-node training at scale with NVIDIA DGX Cloud and supports generative AI, too, so it's a good option for companies that want to bring AI to scale.

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Cerebrium

Last, Cerebrium offers a serverless GPU infrastructure for training and deploying machine learning models, with a pay-per-use pricing model that can cut costs dramatically. It offers 3.4s cold starts, 5000 requests per second and 99.99% uptime, so it's good for high-performance and highly scalable AI applications. Cerebrium also offers real-time logging and monitoring, which means you can easily debug and monitor performance.

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dstack

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AIxBlock

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