How to fine tune Stable Diffusion on a Pokemon dataset to create a text to Pokemon image model. Use the guide to train your own Stable Diffusion models.
The Lambda Deep Learning Blog
Categories
- gpu-cloud (25)
- tutorials (24)
- benchmarks (22)
- announcements (19)
- lambda cloud (13)
- NVIDIA H100 (12)
- hardware (12)
- tensorflow (9)
- NVIDIA A100 (8)
- gpus (8)
- company (7)
- LLMs (6)
- deep learning (6)
- hyperplane (6)
- training (6)
- gpu clusters (5)
- news (5)
- CNNs (4)
- generative networks (4)
- presentation (4)
- rtx a6000 (4)
Recent Posts
How Lambda Cloud can save a Machine Learning Engineer time and money to train state of the art YoloV5 object detection models.
Published 08/15/2022 by Cooper L
This blog describes how to set up a Run:AI cluster on Lambda Cloud with one or multiple cloud instances.
Published 06/03/2022 by Chuan Li
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.
Published 04/19/2022 by Kathy Bui
Lambda secured $24.5M in financing, including a $15M Series A equity round and a $9.5M debt facility that will allow for the growth of Lambda GPU Cloud and the expansion of Lambda's on-prem AI infrastructure software products. Read more details in the post.
Published 07/16/2021 by Stephen Balaban
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
1, 2, or 4 NVIDIA® Quadro RTX™ 6000 GPUs on Lambda Cloud are a cost effective way of scaling your machine learning infrastructure. With the new RTX 6000 instances you can expect: a lower initial price of $1.25 / hr, 2x the performance per dollar vs a p3.8xlarge, and up-to-date drivers & frameworks.
Published 10/29/2020 by Remy Guercio
Priced at $12.00 / hr, our new instance provides over 2x more compute per dollar than comparable on-demand 8 GPU instances from other cloud providers.
Published 05/13/2020 by Remy Guercio
This guide will walk you through how to load data from various sources onto your Lambda Cloud GPU instance. If you're looking for how to get started and SSH into your instance for the first time, check out our Getting Started Guide.
Published 05/03/2020 by Remy Guercio
This guide will walk you through the process of launching a Lambda Cloud GPU instance and using SSH to log in. For this guide we'll assume that you're running either Mac OSX or Linux.
Published 05/03/2020 by Remy Guercio
How to stress test a system for simultaneous GPU and CPU loads using two stress tools, stress and gpu_burn, and three monitoring tools, htop, iotop and nvidia-smi.
Published 02/17/2019 by Stephen Balaban
You'll learn how to provide your team with GPU training infrastructure at a variety of scales, from a single shared multi-GPU system to a cluster for distributed training.
Published 01/25/2019 by Stephen Balaban