Lambda

The Superintelligence Cloud

[Lambda @LambdaAPI]

AI infrastructure is the largest industrial buildout of our lifetime. Lambda is assembling the leadership team to match the opportunity ahead.

Today, Lambda welcomes global infrastructure operator Michel Combes as CEO and former AT&T Communications CEO John Donovan as Chairman of the Board.

Co-founder Stephen Balaban takes on the CTO role full-time, shaping the technology that will define the next decade of AI compute.

Read the exclusive from @business: https://t.co/Bp9CN6b5hP

[Lambda @LambdaAPI]

.@GNDave and @NetApp’s Arindam Banerjee at NetApp INSIGHT 2026, on what’s changing in the superintelligence era. Compute is not a commodity, and it needs to be thought of as a whole system to run efficiently. Watch from 7:06: https://t.co/frrFtuAJpx

[Lambda @LambdaAPI]

@Faridboing You can apply for a grant at https://t.co/r0CU1qmP6M

[Lambda @LambdaAPI]

"Compute is the bottleneck between having a research idea and being able to test it at the scale the data demands." — Davide Romelli, Trinity College Dublin

[NVIDIA AI Infrastructure @NVIDIAAIInfra]

We’re launching NVIDIA Minerva to bring end-to-end observability to AI factories at scale.

The NVIDIA Minerva AIOps platform connects infrastructure and workload telemetry across GPUs, networking, storage, and schedulers, using AI to surface root causes and reduce alert noise across factories with hundreds of thousands of GPUs.

Read the news from #NVIDIAGTC Berlin: https://t.co/QaqiJXpZjM

[Lambda @LambdaAPI]

Doing frontier research in finance, robotics, healthcare, AI agents, or anything in between? The program accepts applications on a rolling basis.

Request a research grant: https://t.co/FFGDgcQTNr

[Lambda @LambdaAPI]

Only 7 in 10 AI researchers can reliably reach 2 accelerators or fewer for a typical project.

Not 2,000. Just 2.

We surveyed 200+ researchers in the Lambda Research Grant Program on what they’re building, what stands in their way, and what comes next.

Here’s what they told us.

[Lambda @LambdaAPI]

Every insight in this report came from a researcher running experiments on Lambda compute.

The Lambda Research Grant Program has distributed $1.3M+ in cloud credits. That compute powered 150+ published papers at ICML, NeurIPS, CVPR, and other top venues, across hundreds of institutions.

Read the report: https://t.co/kWjRud2iG4

[NVIDIA Newsroom @nvidianewsroom]

NVIDIA introduces the OpenShell Reference Architecture to help businesses run AI agents under control.

The open design combines accelerated compute for agents with hardware-isolated security for deployment at scale.

Announced at GTC Berlin: https://t.co/j4esokYQGF

[NVIDIA AI Infrastructure @NVIDIAAIInfra]

Scale AI securely across global infrastructure while maintaining full control of your models and data.

At #NVIDIAGTC Berlin, we’re introducing Confidential Bare Metal with NVIDIA Confidential Computing, enabling model builders to run sensitive AI workloads on dedicated third-party infrastructure securely.

@googlecloud is extending Confidential Bare Metal support to A4X Max instances, and @cohere plans to integrate it into Cohere Model Vault. ➡️ https://t.co/uZTg22i6MH

[Lambda @LambdaAPI]

Read the case study: https://t.co/rcLuBL3rjT

[Lambda @LambdaAPI]

Featured in the #NVIDIAGTC Berlin keynote: 19 NVIDIA HGX B200 nodes running in the power budget of 16 with NVIDIA DSX MaxLPS. We're glad we got to build this proof of concept with @NVIDIA.

[NVIDIA @nvidia]

AI builders need computing capacity they can put to work sooner.

We introduced DSX POD at NVIDIA GTC Berlin: AI factories integrated and tested before delivery, enabling deployment at prepared sites in as little as 14 days.

[Lambda @LambdaAPI]

Find us at booth 7022 all week. Book a time with the team: https://t.co/G6jt0DPZM8

[Lambda @LambdaAPI]

That's Lambda in the NVIDIA GTC Berlin keynote.

We're building with @NVIDIA on secure, efficient AI infrastructure, including an NVIDIA DSX MaxLPS proof of concept, plus support for Confidential Bare Metal and the NVIDIA OpenShell Reference Architecture.

#NVIDIAGTC

[Lambda @LambdaAPI]

Read more: https://t.co/DFP4vg9c3B

[Lambda @LambdaAPI]

Book your pass: https://t.co/tpumda1cfa

[Lambda @LambdaAPI]

Power is the hardest constraint in AI infrastructure right now. Shawn Smith, Lambda's VP of Energy Infrastructure and Grid Development, joins the panel "Power plays - Surviving the new energy constraints" at @dcdnews Connect Virginia, Nov 3–4.

[Lambda @LambdaAPI]

Heading to @stacresearch Summit NYC on Oct 21? Lambda's a platinum sponsor this year.

Catch Jessica Nicholson and Devina Jain at 10:20 a.m. for "FSI at Lambda: research at the edge, performance in production." Then Quinn Kennedy gives the five-minute version of how Lambda got here at 2:25 p.m.

We'll have our audited STAC-AI LANG6 results with us. Find us between sessions.

Book time with the team: https://t.co/CKNbn8Viab