The Lambda Deep Learning Blog

In high-frequency trading data, noise isn't the problem. Assumptions are.

Published on July 24, 2026
by Jessica Nicholson

Lambda recently teamed with Hudson River Trading (HRT), one of the most respected quantitative trading firms in the world, to power their trading research and ...

Your coding harness shouldn't be a black box

Published on July 21, 2026
by Zach Mueller

New models ship every day, both open and closed. The harness you run them through decides how much of that capability you actually get. Depending on the ...

One photo in. A full 3D scene out.

Published on July 20, 2026
by Jianwen Xie

Point a camera at a room. Get back a complete, editable 3D model of everything in it: the sofa, the table, the chairs, each one a clean mesh you can rotate, ...

Why your Kubernetes scheduler can't handle AI workloads

Published on July 16, 2026
by Cody Brownstein

Imagine this scenario: You have a distributed training job with 16 worker pods, each requesting 1 GPU. 4 GPUs are currently available. The default Kubernetes ...

GLM 5.2: a new rise of open-weight agentic models

Published on July 9, 2026
by Zach Mueller

On June 16th, Z.ai released GLM 5.2, its latest flagship model. At the time of announcement, it advertised scores at or near Anthropic and OpenAI's models, and ...

Lambda’s keynote at the ALVR workshop co-located with ACL 2026

Published on July 1, 2026
by Amir Zadeh

On July 3, Lambda's research team delivers a keynote at the Advances in Language and Vision Research (ALVR) workshop, co-located with ACL 2026 in San Diego.

What happens when Claude Code gets an experiment tracker

Published on June 25, 2026
by David Hartmann

At CVPR 2026, Lambda ran a live demo for two and a half days: Claude Code teaching Google's Gemma 4 to play a Tetris-like game. Claude Code started with a ...

We’re entering the age of large-scale synthetic data

Published on June 18, 2026
by Amir Zadeh

To humans, the internet feels infinite, a vast, ever-expanding space of knowledge. To learning systems, it’s starting to look finite. A place where genuinely ...

MLPerf Training v6.0: Lambda delivers fastest LLM training on NVIDIA GB300 NVL72 and fastest MoE training on NVIDIA HGX B200

Published on June 16, 2026
by Lambda

Lambda’s GB300 NVL72 Llama 3.1 8B MLPerf Training v6.0 submission improved performance by 18.7% over Lambda’s previous result, achieving the fastest ...

Building at the speed of research: Lambda at CVPR 2026

Published on June 9, 2026
by Chuan Li and Ksenia Anske

Every year, CVPR draws the researchers defining what AI can see, understand, and act on. This year in Denver, more than 9,000 attendees showed up with over ...

How Kodiak trains the brain behind 28 driverless trucks

Published on June 3, 2026
by Ravali Reddy

Twenty-eight trucks, and no humans in the cab. As of March 31, 2026, Kodiak's autonomous driving system, the Kodiak Driver, runs commercial freight on public ...

Introducing workspaces for Lambda Cloud

Published on June 2, 2026
by Lambda

Lambda workspaces help teams organize cloud resources, control access, and separate dev, staging, and production in shared GPU environments. A junior ...

Unbox one of NVIDIA's first co-packaged optics switches with us. See why we bet on CPO early.

Published on June 1, 2026
by Khushboo Goel

When we design large GPU clusters, the network is no longer a background system. It's part of the compute envelope. At the 800G and NVIDIA GB300 NVL72 scale, ...

DeepSeek V4: the most expected open-source model ever released, and the quietest landing

Published on May 22, 2026
by Zach Mueller

After 15 months of incremental updates, leaks, and rumored leaks, DeepSeek released version 4. It arrived without the fanfare R1 and R1-preview commanded in ...

Lambda Bare Metal Instances: full hardware control with API-driven operations

Published on May 21, 2026
by Khushboo Goel

The unit of AI compute has shifted from single hosts to rack-scale systems that integrate NVIDIA GPUs, CPUs, scale-up networking fabrics, and liquid cooling, ...