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

New laptop offers the industry’s most powerful mobile workstation for deep learning, enabling ML engineers to immediately focus on achieving breakthroughs in AI/ML anytime, anywhere.

Published 04/12/2022 by Rick

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

This is the second consecutive year the deep learning infrastructure provider has been chosen for this top honor SAN FRANCISCO—April 5, 2022 – Lambda today announced it has been selected as an NVIDIA Partner Network (NPN) [] Solutions Integration Partner of the Year for

Published 04/05/2022 by Rick

Keeping an eye on your GPUs - GPU monitoring tools compared

The best tools for monitoring your GPU usage and performance statistics compared.

Published 03/29/2022 by Justin Pinkney

Best GPU for Deep Learning in 2022 (so far)

While waiting for NVIDIA's next-generation consumer and professional GPUs, we decided to write a blog about the best GPU for Deep Learning currently available, as of March 2022.

Published 02/28/2022 by Chuan Li

Lambda's Machine Learning Infrastructure Playbook and Best Practices

If you're trying to figure out how to build and scale your team's deep learning infrastructure, this presentation is for you. We walk you through the decisions associated with building cloud, on-prem, and hybrid infrastructure for your team. We've distilled best practices learned from helping thousands of teams build their

Published 02/23/2022 by Stephen Balaban

Deep learning is the future of gaming.

Deep learning is the most important technology to impact gaming since the advent of 3D graphics. This short video presentation walks you through a few of the technologies that will deliver unbelievable gaming experiences in the near future. Research covered in this presentation: 1. Photorealistic neural rendering 2. Deepfakes for

Published 01/04/2022 by Stephen Balaban

Setting up environments: Anaconda

Today, we will show how to install Anaconda and how to use YAML files for versioning environments. Anaconda is a distribution of the Python for machine learning and data science that simplifies package management and deployment. It is an invaluable tool for controlling the versioning of packages in your code

Published 12/31/2021 by Mark Dalton

NVIDIA A40 Deep Learning Benchmarks

NVIDIA® A40 GPUs are now available on Lambda Scalar servers []. In this post, we benchmark the A40 with 48 GB of GDDR6 VRAM to assess its training performance using PyTorch and TensorFlow. We then compare it against the NVIDIA V100, RTX 8000, RTX 6000, and RTX 5000.

Published 11/30/2021 by Chuan Li

StyleGAN 3

Researchers from NVIDIA and Aalto University have released StyleGAN3, removing a major flaw of current generative models and opening up new possibilities for their use in video and animation.

Published 11/29/2021 by Justin Pinkney

Lambda's Deep Learning Curriculum

This curriculum provides an overview of free online resources for learning about deep learning. It includes courses, books, and even important people to follow. If you only want to do one thing, do this: Train an MNIST network with PyTorch. Introductory CS231n:

Published 11/01/2021 by Stephen Balaban

Lambda and Scale Nucleus: Empowering Your Model Training with Better Data

by Lambda and Scale Visualizing your training data is the foundation of every successful deep learning project. It’s important to both identify potential flaws in the ground truth labels, and to look for insights that will guide your choice of model architecture. Deeply understanding your data can help ensure

Published 10/19/2021 by Justin Pinkney

Tesla A100 Server Total Cost of Ownership Analysis

This post discusses the Total Cost of Ownership (TCO) for a variety of Lambda A100 servers and clusters. We first calculate the TCO for individual Hyperplane-A100 servers, and compare the cost with renting a AWS p4d.24xlarge instance which has the similar hardware and software set up. We then walk you through the cost of building and operating A100 clusters.

Published 09/22/2021 by Chuan Li

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


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