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September 2022 Lambda GPU Cloud Release Notes

In this blog post, we go over the most recent updates we made to Lambda on-demand GPU cloud in September, 2022.

The Lambda Deep Learning Blog

From: Lambdad
NVIDIA H100 GPU - Deep Learning Performance Analysis

Discuss the performance and scalability of H100 GPUs and the whys for upgrading your ML infrastructure with this upcoming big release from NVIDIA.

The Lambda Deep Learning Blog

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

Lambda presents an inference benchmark of Stable Diffusion model with different GPUs and CPUs.

The Lambda Deep Learning Blog

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

Stable Diffusion is great at many things, but not great at everything, and getting results in a particular style or appearance often involves a lot of work "prompt engineering". If you have a particular type of image you'd like to generate, then an alternative to spending a long time crafting

The Lambda Deep Learning Blog

From: Lambdad
Multi node Distributed Training with PyTorch APIs and mpirun

The goal of this tutorial is to give a summary of how to write and launch PyTorch distributed data parallel jobs across multiple nodes, with working examples with the torch.distributed.launch, torchrun and mpirun APIs.

The Lambda Deep Learning Blog

From: Lambdad
Training YoloV5 face detector on Lambda Cloud

How Lambda Cloud can save a Machine Learning Engineer time and money to train state of the art YoloV5 object detection models.

The Lambda Deep Learning Blog

From: Lambdad
Setting Up A Kubernetes Run:AI Cluster on Lambda Cloud

This blog describes how to set up a RunAI cluster on Lambda Cloud with one or multiple cloud instances.

The Lambda Deep Learning Blog

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

After a period of closed beta, persistent storage for Lambda GPU Cloud is now available for all A6000 and V100 instances. in an extended open beta period. During this open beta period, storage will be available free of charge and will be capped at 10TB per account.

The Lambda Deep Learning Blog

From: Lambdad
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 View the new Tensorbook [https://lambdalabs.com/deep-learning/laptops/tensorbook]SAN FRANCISCO, April 12, 2022 – Lambda [https://lambdalabs.com/deep-learning/laptops/tensorbook?utm_

The Lambda Deep Learning Blog

From: Lambdad
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) [https://www.nvidia.com/en-us/about-nvidia/partners/] Solutions Integration Partner of the Year for

The Lambda Deep Learning Blog

From: Lambdad
Keeping an eye on your GPUs

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

The Lambda Deep Learning Blog

From: Lambdad
Best GPU for Deep Learning in 2022 (so far)

TLDR: While waiting for NVIDIA's next-generation consumer [https://www.tomsguide.com/news/nvidia-lovelace-rumored-specs-what-we-know-so-far-about-geforce-rtx-30-series-successor] and professional [https://www.tweaktown.com/news/84273/nvidias-next-gen-gh100-hopper-gpu-1000mm2-and-monster-1000w-power/index.html] GPUs, we decided to write a blog about the best GPU for Deep Learning currently available as of March 2022. For readers who use pre-Ampere generation

The Lambda Deep Learning Blog

From: Lambdad
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

The Lambda Deep Learning Blog

From: Lambdad
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

The Lambda Deep Learning Blog

From: Lambdad
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

The Lambda Deep Learning Blog

From: Lambdad
NVIDIA A40 Deep Learning Benchmarks

NVIDIA® A40 GPUs are now available on Lambda Scalar servers [https://lambdalabs.com/products/blade]. 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

The Lambda Deep Learning Blog

From: Lambdad
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.

The Lambda Deep Learning Blog

From: Lambdad
Careers at Lambda

Lambda is hiring! Join a fast growing startup providing deep learning hardware, software, and cloud services to the world's leading companies.

The Lambda Deep Learning Blog

From: Lambdad
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. https://github.com/pytorch/examples/tree/master/mnist Introductory CS231n:

The Lambda Deep Learning Blog

From: Lambdad
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

The Lambda Deep Learning Blog

From: Lambdad
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.

The Lambda Deep Learning Blog

From: Lambdad
Why I Joined Lambda

By Ben Greenwald [https://www.linkedin.com/in/benjamingreenwald/], an Engineering Lead at Lambda who is building on-prem GPU cluster management software. The journey of how I got to Lambda starts in the most pedestrian way possible: I got a message on LinkedIn. That said, I was actively looking for

The Lambda Deep Learning Blog

From: Lambdad
RTX A6000 vs RTX 3090 Deep Learning Benchmarks | Lambda

PyTorch benchmarks of the RTX A6000 and RTX 3090 for convnets and language models - both 32-bit and mix precision performance.

Lambda Blog

From: Lambdad
NVIDIA NGC Tutorial: Run a PyTorch Docker Container using nvidia-container-toolkit on Ubuntu

Full Video TutorialThis tutorial shows you how to install Docker with GPU support on Ubuntu Linux. To get GPU passthrough to work, you'll need docker, nvidia-container-toolkit, Lambda Stack, and a docker image with a GPU accelerated library. 1) Install Lambda StackLAMBDA_REPO=$(mktemp) && \ wget -O${LAMBDA_REPO} https:

Lambda Blog

From: Lambdad
Lambda raises $24.5M to build GPU cloud and deep learning hardware

Deep learning engineers and researchers spend too much time managing their infrastructure. Fortune 500 companies, startups, and universities are forced to build huge teams to administer the exponentially growing compute resources required to train modern deep learning models. Billions of dollars are spent each year on these efforts. We want

Lambda Blog

From: Lambdad

Cloudnews - Lambdad

Streams | Posts

September 2022 Lambda GPU Cloud Release Notes

NVIDIA H100 GPU - Deep Learning Performance Analysis

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

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

Multi node Distributed Training with PyTorch APIs and mpirun

Training YoloV5 face detector on Lambda Cloud

Setting Up A Kubernetes Run:AI Cluster on Lambda Cloud

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

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

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

Keeping an eye on your GPUs

Best GPU for Deep Learning in 2022 (so far)

Lambda's Machine Learning Infrastructure Playbook and Best Practices

Deep learning is the future of gaming.

Setting up environments: Anaconda

NVIDIA A40 Deep Learning Benchmarks

StyleGAN 3

Careers at Lambda

Lambda's Deep Learning Curriculum

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

Tesla A100 Server Total Cost of Ownership Analysis

Why I Joined Lambda

RTX A6000 vs RTX 3090 Deep Learning Benchmarks | Lambda

NVIDIA NGC Tutorial: Run a PyTorch Docker Container using nvidia-container-toolkit on Ubuntu

Lambda raises $24.5M to build GPU cloud and deep learning hardware