Building a vision for the
AI Developer
Unlocking compute for AI developers to innovate and create.
Neural Software
From vision to reality
Join Lambda's Cofounder and CEO Stephen Balaban as he unveils Neural Software: an entirely new way of thinking about software that can collaborate with humans, evolve over time and adapt like never before.
Our latest projects
Latent Thought Models with Variational Bayes Inference-Time Computation
We propose Latent Thought Models (LTMs), a novel family of language models that incorporate explicit latent thought vectors to guide autoregressive generation.
Read moreProduct of Experts with LLMs
Boosting performance on ARC is a matter of perspective. Read the ICML'25 Paper by "The ARChitects" (winning team of ARC prize 2024).
Read moreNORA: Neural Orchestrator for Robotics Autonomy
NORA adopts the Qwen-2.5-VL-3B multimodal model as the backbone, leveraging its superior visual-semantic understanding to enhance visual reasoning and action grounding.
Read moreTANGOFLUX: Super Fast and Faithful Text to Audio Generation
We introduce TANGOFLUX , an efficient Text-to-Audio (TTA) generative model with 515M parameters, capable of generating up to 30 seconds of 44.1kHz audio in just 3.7 seconds on a single A40 GPU.
Read moreText2Video Leaderboard
Ranking text-to-video models by human preference.
Side-by-side, no cherry-picking.

ML Times
Your Go-To Source for the Latest in the Field, Curated by AI.
Sift through the excess. Make every word count.

Distributed Training Guide
Our zero-to-hero guide for scaling up distributed training in PyTorch

Boost research with best practices and system insights
Diffusion From Scratch
A guide for diffusion models implemented in a single PyTorch script.
Learn moreText2Video Pretraining
Lessons learned from training a text-to-video model with Hundreds of GPUs.
Learn moreMLCommon Benchmark
Time-to-solution benchmark for training foundation models on clusters.
Learn moreRecognized by scholars and industry peers
clip2latent
Text driven sampling of a pre-trained stylegan using denoising diffusion and clip
BMVC 2022
Learn moreAdversarial Monte Carlo denoising
With conditioned auxiliary feature modulation
ACM Trans. Graph. 2019
Learn moreRenderNet
A Deep Convolutional Network for Differentiable Rendering from 3D Shapes
neurIPS 2018
Learn moreMGANs
Precomputed real-time texture synthesis with markovian generative adversarial networks
ECCV 2016
Learn moreCNNMRF
Combining markov random fields and convolutional neural networks for image synthesis
CVPR 2016
Learn moreJoin us in shaping the future of AI
We're committed to supporting groundbreaking research by offering qualifying researchers up to $5,000 in cloud credits to develop and showcase their work using Lambda's On-Demand Cloud platform, with select research to be featured on our website.