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The Lambda Deep Learning Blog

Featured Posts

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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Lambda Teams Up With Razer to Launch the World’s Most Powerful Laptop for Deep Learning

April 11, 2022

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Lambda Selected as 2021 NVIDIA Partner Network Solutions Integration Partner of the Year

April 04, 2022

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    Recent Posts

    Reproduce Fast.ai/DIUx imagenet18 with a Titan RTX server

    We reproduce the latest Fast.ai/DIUx's ImageNet result with a single 8 Turing GPUs (Titan RTX) server. It takes 2.36 hours to achieve 93% Top-5 accuracy.

    Published 01/15/2019 by Chuan Li

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