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Submitted URL: http://lambdalabs.com/
Effective URL: https://lambdalabs.com/
Submission: On April 26 via api from GB — Scanned from GB
Effective URL: https://lambdalabs.com/
Submission: On April 26 via api from GB — Scanned from GB
Form analysis 1 forms found in the DOM
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<h2 class="title">Talk to an Engineer</h2>
<h3 class="subtitle">Call us at <span class="bold">(866) 711-2025</span> or complete the form below and we'll be in touch shortly.</h3>
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<option value="?" selected="selected"></option>
<option label="Tensorbook - GPU Laptop" value="object:4">Tensorbook - GPU Laptop</option>
<option label="Tensorbook - Premium Support" value="object:5">Tensorbook - Premium Support</option>
<option label="Lambda Vector - GPU Workstation" value="object:6">Lambda Vector - GPU Workstation</option>
<option label="Lambda Scalar - GPU Server" value="object:7">Lambda Scalar - GPU Server</option>
<option label="Hyperplane - 4x/8x NVLink A100 Server" value="object:8">Hyperplane - 4x/8x NVLink A100 Server</option>
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<option label="Lambda GPU Cloud" value="object:10">Lambda GPU Cloud</option>
<option label="Lambda Colocation Services" value="object:11">Lambda Colocation Services</option>
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</form>Text Content
Opens in a new window Opens an external website Opens an external website in a new window <!---->Close this dialog<!----> This website stores data such as cookies to enable essential site functionality, as well as marketing, personalisation, and analytics. You may change your settings at any time or accept the default settings. You may close this banner to continue with only essential cookies. Privacy Policy Manage Preferences Accept All Reject All <!---->Close Cookie Preferences<!----> GPU Cloud Colocation Servers Lambda Echelon GPU HPC cluster with compute, storage, and networking. Lambda Scalar PCIe GPU server with up to 10x customizable GPUs and dual Xeon or AMD EPYC processors. Lambda Hyperplane SXM4 GPU server with up to 8x NVIDIA A100 GPUs, NVLink, NVSwitch, and InfiniBand. Workstations Tensorbook Resources Lambda Stack Research Blog Forum GPU Benchmarks Careers +1 (866) 711‑2025 Talk to an engineer GPU Systems Tensorbook GPU laptop with RTX 3080 Max-Q Lambda Vector Workstation with up to 4x GPUs Lambda Echelon Custom GPU HPC Clusters Lambda Scalar PCIe GPU server with up to 10x customizable GPUs Lambda Hyperplane SXM4 GPU Server with up to 8x NVIDIA A100 GPUs GPU Cloud Colocation Resources Lambda Stack Blog Research Forum GPU Benchmarks Careers Company About GitHub Careers Contact Introducing Lambda Echelon, a GPU cluster designed for deep learning GPU COMPUTE BUILT FOR DEEP LEARNING GPU cloud, workstations, servers, and laptops built for deep learning. Speed up PyTorch, TensorFlow, Keras, and save up to 90%. Talk to an engineer 5000+ RESEARCH GROUPS TRUST LAMBDA GPU Cloud Deep Learning Laptop Deep Learning Workstation GPU Cluster PCIe GPU Server NVIDIA A100 Server EASY SYSTEM ADMINISTRATION Every computer comes with Lambda Stack, which includes frameworks like TensorFlow and PyTorch. Lambda Stack makes upgrading these frameworks easy. OUR PUBLISHED RESEARCH View all research ICCV 2021 MULTIPLE PAIRWISE RANKING NETWORKS FOR PERSONALIZED VIDEO SUMMARIZATION We propose a model for personalized video summaries by conditioning the summarization process with predefined categorical user labels. Learn more ICCV 2019 HOLOGAN: UNSUPERVISED LEARNING OF 3D REPRESENTATIONS FROM NATURAL IMAGES We propose a novel generative adversarial network (GAN) for the task of unsupervised learning of 3D representations from natural images. Learn more NeurIPS 2018 RENDERNET: A DEEP CONVNET FOR DIFFERENTIABLE RENDERING FROM 3D SHAPES We present a differentiable rendering convolutional network with a novel projection unit that can render 2D images from 3D shapes. Learn more SIGGRAPH Asia 2019 ADVERSARIAL MONTE CARLO DENOISING WITH CONDITIONED AUX. FEATURE MODULATION We demonstrate that GANs can help denoiser networks produce more realistic high-frequency details and global illumination. Learn more © 2022 Lambda Forum About Blog Terms of Sale Careers Contact Cookie Preferences TALK TO AN ENGINEER CALL US AT (866) 711-2025 OR COMPLETE THE FORM BELOW AND WE'LL BE IN TOUCH SHORTLY. First Name Last Name Email (work email required) Phone Organization Tensorbook - GPU LaptopTensorbook - Premium SupportLambda Vector - GPU WorkstationLambda Scalar - GPU ServerHyperplane - 4x/8x NVLink A100 ServerEchelon - GPU HPC ClusterLambda GPU CloudLambda Colocation Services Which product are you interested in? Submit Thank you We've received your request. An engineer will contact you shortly.