Alex Banning.ai retweeted
Extremely bullish on neoclouds. If there's pushback on data centers in some districts that will artificially suppress supply of the exact product that we sell: compute. The demand for compute will continue to grow exponentially. There's never been a better time to be a cloud.
Alex Banning.ai retweeted
Drop the 'l'. Just Lambda. It's cleaner.
lambdal -> Lambda.com
Alex Banning.ai retweeted
BIG NEWS out of Alabama:
A new $33.1 BILLION data center campus is projected to generate:
- $1.6 BILLION for local public schools
- 1,000+ construction jobs
- 225+ permanent jobs
- $2.8 BILLION in local tax revenue
And a commitment to protect existing electricity customers.
Alex Banning.ai retweeted
Others announce. We deliver.
Proud to be recognized by enterprises, hyperscalers & frontier labs.
Alex Banning.ai retweeted
What if the same power budget could run more GPUs? In a proof of concept with @NVIDIA DSX MaxLPS on NVIDIA HGX B200 systems, Lambda ran 19 nodes in the power budget of 16, for 24% more cluster-wide token throughput and 23% better throughput per watt.
Alex Banning.ai retweeted
Lambda has closed its second institutional debt facility and its first $1 billion-plus GPU debt financing. The facility was oversubscribed and rated A (low) by Morningstar DBRS and Baa1 by Moody's.
Proceeds will fund the purchase and development of GPU infrastructure supporting three committed customer deployments with two investment-grade offtakers across multiple data centers.
Read the announcement: lambda.ai/blog/lambda-closes…
Alex Banning.ai retweeted
Only a PaleoCloud had the opportunity to acquire GPUs.com for the price of a used 2003 Toyota Corolla in 2019
Alex Banning.ai retweeted
startup memos >>>> pitch decks
Wonderful change that AI has brought on from the previous era of endless startup decks and slides and manually generated slop.
Alex Banning.ai retweeted
100% Agree @GavinSBaker. Now, I'm going to debunk every single piece of mis-information about data centers that I've ever seen online:
> DISINFORMATION: Data centers use a lot of water.
FACT: Most AI data centers are closed loop dry cooler design that barely consume any water at all. A 20MW 10,000 GPU cluster needs 20,000 gallons to charge and doesn't use material water after that. That's less than 1/4 of the amount of water used to raise the amount of beef the average American consumes in a year. That means one of the largest data centers in the world, at 2GW, consumes less water than 20 people's annual beef consumption or three American's total water footprint (@ ~600k gallons per year for the average American).
> DISINFORMATION: Data centers increase electricity prices.
FACT: Data centers bring down a community's average electricity bill because they spur development of new power generation. Most data centers bring their own power generation, pay fees to the utility to build more power plants, or bring their own power storage to actually reduce the cost of energy in their community. Northern Virginia has some of the most data centers per capita and has low power costs. See research from the Electric Power Research Institute marketplace.org/story/2026/0… and arxiv.org/pdf/2606.19777.
>DISINFORMATION: Data centers don't create jobs
FACT: Data centers create hundreds of jobs at construction and a high number of exceptionally high paying jobs (many over $120k/year) for their ongoing operation and maintenance. No, they're not similar to an automotive plant in terms of the jobs / MW but they are phenomenal additions to an industrial park and community.
> DISINFORMATION: Data centers are constantly super noisy
FACT: Data centers are one of the quietest industrial buildings in the world. Drive by a data center in your city and roll down your window. They are very quiet. In fact, a metal mill is FAR louder than a data center---up to 10,000,000 more sound energy is produced by a mill and perceptually a mill can be 128x louder than a data center.
> DISINFORMATION: Data centers emit noise pollution from diesel engines running all the time.
FACT: Emergency generator sets are almost never turned on unless the grid connection goes out. This would be less than 0.5% of the time!
> DISINFORMATION: Data centers are surveillance systems
FACT: Data centers actually just host computers owned by private companies that are used to make phone calls, access the internet, run ChatGPT, Claude, X, Instagram, Facebook, Google, play multiplayer video games, and every thing you ever do online. That's it.
> DISINFORMATION: Data centers make water dirty
FACT: AOC held up a bottle of dirty water and said this is what data centers do. Completely false, well water disruption is a rare side effect of EVERY construction site in the history of humanity. This is not at all unique to data centers and is a complete red herring.
> DISINFORMATION: Data centers get massive tax breaks and drain tax dollars from towns
FACT: Data centers pay massive amounts of tax and often times huge % of an annual budget of a county or town! It's an absolute bonanza for the towns that are lucky enough to welcome a data center. New schools, new roads, new services are all paid for. Even if there is a sales tax rebate we're still talking tens of millions of new tax revenue. In 2022, Virginia’s data centers collectively generated $1 billion in local tax revenue and $640 million in state tax revenue! That was 2022. netchoice.org/wp-content/upl…
Feel free to reply here if you have any other question you'd like answered about data centers happy to provide actual facts.
Alex Banning.ai retweeted
GPUs are becoming an asset class that investors love. Long usable life, phenomenal returns, easily transferable, insatiable demand.
Here's an interesting take:
Will GPUs become one of the next strongest, and most interesting, financial asset classes?
@stephenbalaban co-founder at @LambdaAPI shares his fascinating insights 👇
Alex Banning.ai retweeted
Big step forward for Engine!
Some things I'm excited about in this release that we've shipped for our most avid users:
- Engine now points more obviously to the issue in a trace. Engine identifies and clusters errors, but now helps you more quickly confirm its findings by guiding you to places of interest in your agent's logs.
- We find a lot of our customers living entirely out of Slack + Linear. Engine now sends alerts to Slack, and syncs with Linear tickets, allowing you to continue tracking issues in whatever system is best, use your coding agent of choice, etc.
- Engine's proposed fixes are much more effective at solving the issues that Engine has identified. Our biggest users are using Engine not only to find problems but to resolve them quickly and avoid asking c-bro to TAL at yet another problem.
- We've introduced Analysis Levels (Reduced, Standard, and Extended) so your team can get the "right" amount of Engine based on your budget.
DM if you have feedback!
LangSmith Engine now offers >2x performance on key internal benchmarks.
Engine has already helped identify tens of thousands of issues in our customers’ agents. Now it offers:
✅ More accurate issue detection, clustering, and remediation
✅ Support for SaaS and self-hosted deployments
✅ Reduced Analysis mode for cost-sensitive customers
✅ Integrations with @slackhq and @Linear
✅ Automatic closing of stale issues
Learn more → langchain.com/blog/new-in-la…
Alex Banning.ai retweeted
$/kWh is a fundamental hurdle rate in an economy. If it rises too high, energy intensive activities stop getting investment. If it goes high enough, past marginal price, even already existing sites will shut down. Basic economics. The government should, if they want to promote American industry, promote the creation of cheap energy.
The best way to create cheap energy is to remove the massive regulatory barriers that exist to building new generation, storage, and transmission assets.
Alex Banning.ai retweeted
Open models move science forward. When AI engineers can download, inspect, and tune a model for their needs, progress stops being gated by who owns the weights.
Research and open source have been core to Lambda from the start. That's why we have signed the Open Weights letter alongside @nvidia, @Microsoft, and 230+ others.
Alex Banning.ai retweeted
The iPhone Ultra (foldable) is going to be perfect for monitoring agents while multitasking
Alex Banning.ai retweeted
Usually see better from SemiAnalysis this isn’t quite accurate reporting this time. Nearly every neocloud I know, including Lambda, has non-NVIDIA networking gear in their cloud. Many neoclouds, including ones invested in by NVIDIA, have alternative accelerators too.
Reality is that NVIDIA is the only accelerator that’s available in every single cloud and that’s why it makes the most sense for Lambda and others to invest in Blackwell and Vera Rubin. Platform is valuable because it doesn’t require users to rewrite their code when they use multiple clouds. Pretty simple and boring truth. But conspiracies get views I guess.
SHOCKING: Many neocloud executives we spoke with feel that if they have non-NVIDIA networking gear on their cluster, or if their cloud has an AMD GPU or TPU offering, NVIDIA will retaliate. They feel that retaliation includes not giving early allocation or no longer supporting a potential IPO/VC raise.(1/3)🧵
Alex Banning.ai retweeted
You have to watch out for the “accidental anti-capitalists” when building a company. These are folks that like the *idea* of growth but don’t want to pour in the excruciatingly hard effort in to keep it the #1 goal of your business. They unfortunately start to unintentionally undermine it by trying to focus on other “top goals” which will never be as important as growing faster. Exponential growth is non-linear and incredibly rip-your-face-off challenging, 24/7. It’s not for everyone. If not the singular top goal, this will kill your company, both in spirit and long-term trajectory. This is my top advice to startups I advise.





















