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Submitted URL: http://lambdal.com/
Effective URL: https://lambdalabs.com/
Submission: On July 07 via manual from HK — Scanned from DE
Effective URL: https://lambdalabs.com/
Submission: On July 07 via manual from HK — Scanned from DE
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GPUs, storage, and InfiniBand networking. * Hyperplane ServerNVIDIA Tensor Core GPU server with up to 8x A100 or H100 GPUs, NVLink, NVSwitch, and InfiniBand. * Scalar ServerPCIe server with up to 8x customizable NVIDIA Tensor Core GPUs and dual Xeon or AMD EPYC processors. * NVIDIA DGX Systems NVIDIA's latest generation of infrastructure for enterprise AI. * NVIDIA H100New, next-generation Tensor Core GPUs based on the Hopper architecture. * GPU ColocationData center colocation for your GPU cluster. * Desktops Show submenu for Desktops * Vector GPU WorkstationLambda's GPU workstation designed for AI. Up to four NVIDIA GPUs. * Tensorbook GPU LaptopLambda's portable GPU laptop. 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Get pricing RUN.AI Run:ai provides a state-of-the-art Cluster Management Platform for AI. With its core capabilities like ML Job Scheduling, GPU Fractioning, Dynamic MIG (Multi-Instance GPU), and integration to ML tools and Data Science framework - Run:ai helps AI/ML teams utilize their GPU Compute, speed up development time, and better manage their ML Train and Inference workloads on-premise and in the cloud. Get a demo NVIDIA From AI and data analytics to high-performance computing (HPC) to rendering, data centers are key to solving some of the most important challenges. The end-to-end NVIDIA accelerated computing platform, integrated across hardware and software, gives enterprises the blueprint to a robust, secure infrastructure that supports develop-to-deploy implementations across all modern workloads. Read the blog post H100 H100S IN SERVERS, CLUSTERS & CLOUD Lambda is one of the first providers offering NVIDIA H100 across servers, clusters and cloud. 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