The Lambda
Deep Learning Blog
Published on by Kathy Bui
Lambda Cloud accounts now support teams!
We’re excited to introduce the Team feature to Lambda Cloud. You can now invite your team to join your Lambda account, centrally manage billing, and view each ...
Published on by Jeremy Hummel
NVIDIA Hopper: H100 and FP8 Support
With the release of the NVIDIA H100 Tensor Core GPU, one of the most exciting features is the native support for FP8 data types. Compared to 16-bit ...
Published on by Chuan Li
Hugging Face x Lambda: Whisper Fine-Tuning Event
Lambda is thrilled to team up with Hugging Face, a community platform that enables users to build, train, and deploy ML models based on open source code, for a ...
Published on by Eole Cervenka
How To Fine Tune Stable Diffusion: Naruto Character Edition
Fine tuning is the common practice of taking a model which has been trained on a wide and diverse dataset, and then training it a bit more on the dataset you ...
Published on by Lauren Watkins
Voltron Data Case Study: Why ML teams are using Lambda Reserved Cloud Clusters
One of the biggest trends in machine learning is the development of large transformer models like BERT and diffusion models like stable diffusion. These large ...
Published on by Chuan Li
NVIDIA GeForce RTX 4090 vs RTX 3090 Deep Learning Benchmark
Available October 2022, the NVIDIA® GeForce RTX 4090 is the newest GPU for gamers, creators, students, and researchers. In this post, we benchmark RTX 4090 to ...
Published on by Cody Brownstein
September 2022 Lambda GPU Cloud Release Notes
While we continue to add more NVIDIA A100s to our cloud, the Lambda GPU cloud team is also making upgrades and improvements to make our cloud platform easier ...
Published on by Eole Cervenka
All You Need Is One GPU: Inference Benchmark for Stable Diffusion
UPDATE 2022-Oct-13 (Turning off autocast for FP16 speeding inference up by 25%) What do I need for running the state-of-the-art text to image model? Can a ...
Published on by Chuan Li
NVIDIA H100 Tensor Core GPU - Deep Learning Performance Analysis
We have seen groundbreaking progress in machine learning over the last couple of years. At the same time, massive usage of GPU infrastructure has become key to ...
Published on by Justin Pinkney
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 ...
Published on by Cooper L
Training YoloV5 face detector on Lambda Cloud
We're going to cover both how Lambda Cloud can save a Machine Learning Engineer time and money and also demonstrate training YoloV5 with that same Lambda ...
Published on by Stephen Balaban
Careers at Lambda
Lambda is a fast growing startup providing deep learning hardware, software, and cloud services to the world's leading companies and research institutions. ...
Published on by Chuan Li
Setting Up A Kubernetes Run:AI Cluster on Lambda Cloud
If you're interested in training the next large transformer like DALL-E, Imagen, or BERT, a single GPU (or even single 8x GPU instance!) might not be enough ...