Lambda raised a $320M Series C for a $1.5B valuation, to expand our GPU cloud & further our mission to build the #1 AI compute platform in the world.
Persistent storage is now available in all Lambda Cloud regions and for all on-demand instance types, including our NVIDIA H100 Tensor Core GPU instances.
Persistent storage for Lambda Cloud is expanding. Filesystems are now available for all regions except Utah, which is coming very soon.
Lambda Demos streamlines the process of hosting your own machine learning demos. Host a Gradio app using your existing repository URL in just a few clicks.
Tired of waiting in a queue to try out Stable Diffusion or another ML app? Lambda GPU Cloud’s Demos feature makes it easy to host your own ML apps.
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.
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.
In this blog post, we go over the most recent updates we made to Lambda on-demand GPU cloud in September, 2022.
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