Come join us for Cocktails & Compute in SF on Oct 28th!
luma.com/6h2xhmyg
Our CEO @Carmenli was on the cover of WSJ Finance today
Only index provider at NVIDIA’s GTC analyst Q&A, so of course I asked @JensenHuang about GPU residual values. 😆
His take: newer is better, but older GPUs matter when everything is sold out.
He knows exactly what we do. Then he asked: “How did you get your data, and how can we help?”
Surreal. 💚 Also love running into Alison!
Compute Exchange retweeted
Replying to @computeexchange
@computeexchange is hosting an event on Oct 28th, will be a cocktail party with some food
I’ll be sharing more about it soon, but if you’re going to be in the city, and want to join us - send me a DM
I think we are hosting another compute party next week at SF. My job is to show up and have fun. Pin @Midnight_Captl for invite.
Heading to Berlin next week for @NVIDIA GTC!
Excited to join the Capital Providers Panel on October 22, 3:45–4:30 PM, to discuss GPU financing, compute markets, and how pricing transparency is shaping the future of AI infrastructure.
See you in Berlin! Pin @josephcompute if you want to meet up for beers.
It's been a month since our last update on NVIDIA GPU residual values. H100 marched higher to 61% of purchase price past 4 years since mass availability; B200 also moved even higher to 164% at 1.6 years. An accelerated five-year schedule would have them at 6% and 33% respectively. A100 slipped a bit further from 25% to 22.5% in year 6, but still sits well above a schedule that would've written it to zero a year ago.
What a turnout at the Compute Trading Happy Hour for #SFTechWeek. 850+ people requested a spot and the Chotto Matte rooftop was packed. Thanks to everyone who came, and to @silicondata and @robotventures for hosting with us.
Buying is the cheaper path on paper. In practice, physical servers are scarce and lead times are long. Plenty of teams rent because they can't wait.
Come join us :)
We’re looking for an exceptional Product Manager for @computeexchange
Salary is $150-$230k depending on experience level / background. Comes with equity
Preference to be based in the Bay Area or NYC
To apply DM me or @computeexchange your background. Let us know why you’d be a good fit working with Compute Exchange, and share your CV/Linkedin
We're hosting a panel at SF Tech Week on how compute and tokens actually get priced.
Every Token Has a Price, Oct 7 in SF, co-hosted with @blank_vc and @silicondata. @carmenli moderates, with @radhikam24 , @svonava and @wAIeedatallah .
Limited seats 👇
partiful.com/e/TCbzFycPMc8s5…
#SFTechWeek
Sourcing compute has historically been slow
Last night we had a large block of Blackwell GPUs hit our marketplace. Within hours, multiple qualified off-takers had placed bids
We're working to make our platform the fastest way for you to acquire the compute your business needs
Compute Exchange retweeted
Replying to @computeexchange
compute exchange is one of the reasons I got into this, we were not able to close business yet, but yes, I love the product
We see, hear, and live this everyday
There are so many new entrants in the broker space, it’s too noisy and hard to know who’s legitimate
That’s why we’re building a neutral marketplace that has validated supply and vetted buyers. Buyers and partners communicate directly with one another. No intermediaries
If that resonates with you, use our platform for your next compute deal ✅
The GPU brokers have gone crazy.
I got two offers this morning for the same data center and same specs. 20% price difference between them. This has happened multiple times in the last few months.
Pretty common for a market with no price discovery. Too much demand, not enough supply, and suddenly everyone's a broker.
At some point you have to wire $2-10 million to someone you've never met and hope they don't disappear.
Join the event next week in SF and let's talk about compute.
Compute Trading Happy Hour
Tue, Oct 6, 5 to 8pm PT
Chotto Matte, Union Square
For trading desks, quants, Neo-Cloud operators, GPU buyers, and investors.
Hosted by Silicon Data and @robotventures and @ani_pai with @computeexchange
#SFTechWeek
luma.com/y0ki9bun
So happy to have you on our team, Nick!
I have an exciting personal update to share
Today I’ll be joining @computeexchange as their senior deals lead in Sf
I’ll be working on compute deals, helping both buyers and sellers come together to transact
Additionally, @Joule14 is totally unaffected (🥳) - I will be continuing to work on it, and I have a very special piece of work to share probably 2nd week in October which I hope will be quite exciting
If you need compute, please send me a DM - I am now your compute dealer 😁
The institutional marketplace for compute procurement— independent, neutral, and purpose-built for professional market participants.
Today we're launching Live Inventory: a second way to buy GPU capacity.
Providers post their clusters directly — model, count, location, term, price per GPU/hour, and go-live date.
31 clusters listed today:
32x H200, US Northwest, $2.81/GPU/hr, Sep 30
48x H100, Asia Pacific, $2.70, Nov 24
256x B200, Europe West, $4.68, Nov 30
72x B300, US, $3.95, Jan '27
1,152x GB300 NVL, US West, $6.50, Feb '27
Every listing comes from a verified provider, with transparent pricing and specs. Live now on the Compute Exchange Marketplace.
Try it out: compute.exchange
Today we're launching Live Inventory: a second way to buy GPU capacity.
Providers post their clusters directly — model, count, location, term, price per GPU/hour, and go-live date.
31 clusters listed today:
32x H200, US Northwest, $2.81/GPU/hr, Sep 30
48x H100, Asia Pacific, $2.70, Nov 24
256x B200, Europe West, $4.68, Nov 30
72x B300, US, $3.95, Jan '27
1,152x GB300 NVL, US West, $6.50, Feb '27
Every listing comes from a verified provider, with transparent pricing and specs. Live now on the Compute Exchange Marketplace.
Try it out: compute.exchange
Compute Exchange retweeted
the more I reread this post, the more I become convinced this is NVIDIA's manifesto of becoming the "central bank of compute."
some thoughts on this econ model + nvidia's role:
> econ101 tells us a central bank has several goals - (1) anchor inflation, (2) full employment/utilization, (3) lender of last resort. Commercial banks on the other hand "create money" in the economy by lending and thus increasing GDP
> the loan in GPU financing world is datacenter buildout (of NVIDIA factories), the "GDP growth" is essentially token/inference spend. The primary "commercial banks" are neoclouds (Coreweave, Nebius et al.) that contract with the labs/inference platforms, which manufacture tokens and allow for "GDP growth". This is the first layer of compute. Lets call it C1.
> in addition to directly "lending" to the giants as C1, wholesale compute can also get unbundled into PAYG/short-term duration markets. this is the whole "GPU marketplace layer" - the world of SF compute/Vast AI/compute exchange that sell bare metal. We can call this C2
> all the orderbooks on C1 and C2 can then get bundled into a bunch of synthetic financialization tools on the outside layer, which we can label as C3. Indexes, cash-settled exchanges, residual puts, insurance stuff all belong here.
so why is nvidia a central bank? going back to econ101 -
(1), the "inflation" in compute land is actually depreciation curves. NVIDIA can control the depreciation curve by deciding when to release a new series of chips (eg. Vera Rubin).
(2) NVIDIA's goal is to enable full utilization in the economy of their GPUs (which spurs more demand + higher prices etc.) and so will let the financing stack go faster.
(3) NVIDIA has the balance sheet and resources to "bail" failing neoclouds/marketplaces out that don't see the inference demand growth as the lender of last resort. this is where the 25% underwriting comes from.





















