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The Lambda Deep Learning Blog

Featured Posts

Lambda Cloud accounts now support teams!

January 13, 2023

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NVIDIA Hopper: H100 and FP8 Support

December 07, 2022

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Hugging Face x Lambda: Whisper Fine-Tuning Event

December 01, 2022

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How To Fine Tune Stable Diffusion: Naruto Character Edition

November 02, 2022

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Voltron Data Case Study: Why ML teams are using Lambda Reserved Cloud Clusters

November 01, 2022

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NVIDIA GeForce RTX 4090 vs RTX 3090 Deep Learning Benchmark

October 31, 2022

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September 2022 Lambda GPU Cloud Release Notes

October 11, 2022

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All You Need Is One GPU: Inference Benchmark for Stable Diffusion

October 05, 2022

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NVIDIA H100 GPU - Deep Learning Performance Analysis

October 05, 2022

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How to fine tune stable diffusion: how we made the text-to-pokemon model at Lambda

September 28, 2022

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Multi node PyTorch Distributed Training Guide For People In A Hurry

August 26, 2022

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Training YoloV5 face detector on Lambda Cloud

August 15, 2022

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Careers at Lambda

June 25, 2022

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Setting Up A Kubernetes Run:AI Cluster on Lambda Cloud

June 02, 2022

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Lambda Cloud Storage is now in open beta: a high speed filesystem for our GPU instances

April 18, 2022

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    Recent Posts

    Install TensorFlow & PyTorch for the RTX 3090, 3080, 3070

    Instructions for getting TensorFlow and PyTorch running on NVIDIA's GeForce RTX 30 Series GPUs (Ampere), including RTX 3090, RTX 3080, and RTX 3070.

    Published 08/10/2021 by Michael Balaban

    Introducing NVIDIA RTX™ A6000 GPU Instances on Lambda Cloud

    We’re excited to announce today that Lambda GPU Cloud is the first public cloud to offer instances with 2x & 4x RTX A6000 GPUs...

    Published 04/23/2021 by Remy Guercio

    RTX A6000 Deep Learning Benchmarks

    PyTorch and TensorFlow training speeds on models like ResNet-50, SSD, and Tacotron 2. Compare performance of the RTX 3090, 3080, A100, V100, and A6000 .

    Published 01/04/2021 by Michael Balaban

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