The Lambda deep learning blog

TurboPairFormer: faster, more stable, more accurate OpenFold3 fine-tuning

Jianwen Xie — Fri, 13 Nov 2026 15:00:00 GMT

Lambda, Stevens Institute of Technology, and the OpenFold team built open-source GPU kernels that train OpenFold3 up to 1.73× faster, with more accurate and fully reproducible gradients.

Lambda has a new address: lambda.com

Lambda — Thu, 05 Nov 2026 17:20:10 GMT

Your path to superintelligence stays the same.

Introducing identity and access management for Lambda Cloud

Lambda — Wed, 04 Nov 2026 19:45:57 GMT

Role-based access control for your GPU cloud: roles, groups, and service identities are now in the Lambda Cloud console.

Lambda to build new data center in Lowndes County, Alabama, investing more than $33 billion in state

Lambda — Wed, 04 Nov 2026 15:02:39 GMT

The project is expected to generate billions in tax revenue for local schools and the community, create more than 1,000 construction jobs, and support local water conservation

What Lambda is building with NVIDIA at GTC Berlin 2026

Lambda — Wed, 21 Oct 2026 11:20:47 GMT

Lambda is joining the AI ecosystem at NVIDIA GTC Berlin 2026 around a shared set of priorities: making AI safer, more secure, and more efficient to run at scale.

Lambda to integrate open-source NVIDIA Run:ai with its Managed Kubernetes Service

Lambda — Tue, 13 Oct 2026 14:32:00 GMT

We welcome NVIDIA's decision to release NVIDIA Run:ai as open source, and we're working to make it a first-class option on Lambda Kubernetes Service (LKS).

ReLearn at CVPR 2026: can AI still learn from humans?

Jianwen Xie — Wed, 07 Oct 2026 22:14:56 GMT

AI has advanced fast by scaling models, data, and compute. As foundation models get more capable, an old question is coming back...

Lambda closes $1 billion senior secured fixed rate financing

Lambda — Thu, 01 Oct 2026 23:08:14 GMT

Marks Lambda’s first $1 billion-plus institutional debt financing marketed to insurance companies and fixed income investors, and second institutional credit facility, expanding access to capital to support committed AI infrastructure deployments

From world models to active agents: the next step for physical AI

Jianwen Xie — Thu, 01 Oct 2026 22:37:02 GMT

Generative AI has made remarkable progress in creating increasingly realistic representations of the world. Image models can synthesize photorealistic scenes, video models can generate complex dynamics over time, and emerging world models are beginning to capture geometry, motion, and interaction.

Open Jarvis: making local LLMs work as agents

caia.costello@lambdal.com (Caia Costello) — Wed, 30 Sep 2026 14:49:50 GMT

Running an open-weight model is only half the job. The other half is the harness: what tells the model what to do, which tools it can use, and how to learn from its mistakes.