Lambda secured a $44 million Series B to accelerate the growth of our AI cloud. Funds will be used to deploy new H100 GPU capacity with high-speed network interconnects and develop features that will make Lambda the best cloud in the world for training AI.
In early April, NVIDIA H100 Tensor Core GPUs, the fastest GPU type on the market, will be added to Lambda Cloud. NVIDIA H100 80GB PCIe Gen5 instances will go live first, with SXM to follow very shortly after.
Learn how to use mpirun to launch a LLaMA inference job across multiple cloud instances if you do not have a multi-GPU workstation or server.
Lambda's GPU cloud has a new team feature that allows you to invite your team to join your account for easy collaboration and more.
Native support for FP8 data types is here with the release of the NVIDIA H100 Tensor Core GPU. These new FP8 types can speed up training and inference.
Lambda and Hugging Face are collaborating on a 2-week sprint to fine-tune OpenAI's Whisper model in as many languages as possible.
This blog walks through how to fine tune stable diffusion to create a text-to-naruto character model, emphasizing the importance of prompt engineering.
In this blog, we will outline the benefits of our new Reserved Cloud Cluster and an example of how Voltron Data is using it to work with large datasets.
RTX 4090 vs RTX 3090 benchmarks to assess deep learning training performance, including training throughput/$, throughput/watt, and multi-GPU scaling.
In this blog post, we go over the most recent updates we made to Lambda on-demand GPU cloud in September, 2022.
Lambda presents stable diffusion benchmarks with different GPUs including A100, RTX 3090, RTX A6000, RTX 3080, and RTX 8000, as well as various CPUs.
This article discusses the performance and scalability of H100 GPUs and the whys for upgrading your ML infrastructure with the H100 release from NVIDIA.
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.
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