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COVERAGE CROSS-CHECK

You track 16 providers. Here is what we actually hold, provider by provider.

GPUAdvisor's 16 publicly listed providers, checked one by one against our public ledger: where we hold device-level evidence, where we only have model-level quotes, and where we have nothing. Where we have nothing, it says nothing. Every figure is aggregated live from the ledger (GET /v1/coverage) — pull it yourself, or download the ledger and recompute it with /cvin_replay.py.

Of your 16
0 / 7 / 9
device-level / model-only / none
Our own devices
7,518
per-device records, all on platforms you do not track
Our own platforms
37
2 of them device-level
Ledger
18,360
records · 14,873 device-level
One-line conclusion: across your 16, our strength is not "broader coverage" — it is 0 device-level. Our actual asset sits on the other side: 7,518 per-device records, all from platforms you do not track (vast.ai and clore.ai), plus 37 regional and China-market clouds. So this is not a competition: you answer "who should I buy from, at what price"; we answer "are these machines real, are they pledged elsewhere, are they still reporting".
01

Provider by provider: your 16

ProviderWhat we hold Devices / model IDsRecords ModelsSource of evidence
AWS none — — — platform does not expose individual units
Google Cloud none — — — platform does not expose individual units
Azure model only 424 model IDs 424 6 azure.microsoft.com
Lambda model only 133 model IDs 209 14 rentgpu.link · shadeform.com
CoreWeave none — — — platform does not expose individual units
RunPod model only 103 model IDs 103 62 rentgpu.link · www.runpod.io
Nebius model only 25 model IDs 34 9 rentgpu.link · shadeform.com
Together AI none — — — not sold per-device
Crusoe model only 36 model IDs 51 9 rentgpu.link · shadeform.com
Hyperstack model only 39 model IDs 96 11 rentgpu.link · shadeform.com
Thunder Compute model only 4 model IDs 4 4 rentgpu.link
Daytona none — — — not sold per-device
Enverge none — — — collectable, not yet wired
Lium none — — — collectable, not yet wired
FluidCore none — — — collectable, not yet wired
Atlantic.Net none — — — collectable, not yet wired

A "model ID" is not a device: it encodes cloud × model × region × billing mode. Good for price comparison, useless as collateral evidence. See section 03.

02

What we add: the 37 platforms you do not track

PlatformLevelDevicesModel IDsRecords
vast.ai device 4,585 — 9,376
clore.ai device 2,933 — 5,653
jygpu(极云) model only — 2 699
Massed Compute model only — 175 290
Verda model only — 69 179
智星云 GPUSHARE model only — 6 124
Vultr model only — 73 75
Prime Intellect model only — 69 69
Paperspace model only — 67 67
Voltage Park model only — 1 64
Excess Supply model only — 34 60
Scaleway model only — 25 40
AutoDL model only — 11 33
IMWT model only — 28 28
Akash model only — 23 23
Latitude model only — 18 22
Denvr model only — 6 22
共绩算力 model only — 18 18
DigitalOcean model only — 13 15
Boostrun model only — 9 12

Top 20 shown (device-level first, then by volume); the full list is in GET /v1/coverage. Several of these (jygpu, gpushare, autodl, matpool, compshare) are major China-market suppliers — absent from your price catalogue.

03

Three kinds of "we do not have it"

Device

Per unit, verifiable

A specific record for this unit: where, at what price, when it appeared, whether a lien was filed. Resolvable and monitorable — the starting point for underwriting. Everything we have collected is L0 listing fingerprint: it proves "this unit appeared at this price", not its serial number (that is L1/L2).

Model only

Good for pricing, not for collateral

Only "cloud X lists model Y at $Z/hr". That is your home turf — so we do not duplicate it; device-level only matters when the question becomes "which machine is this".

None

And the reasons differ

Not exposed: AWS, Google Cloud, CoreWeave — sold through direct contracts, no per-unit data in public catalogues. Nobody can do device-level here. Different product shape: Together AI, Daytona. Collectable, not yet wired: Enverge, Lium, FluidCore, Atlantic.Net — these can be added.

04

Verify one, live

The most-observed device in the ledger — open it directly:

cvin:nv.rtx5070.pcie.12g:2y0otc4txzm13pi9 · 60 records

  • Single device, free: GET /v1/resolve/{cvin}
  • No CVIN? Query by serial, platform link or asset tag: GET /v1/lookup?q=…
  • Up to 200 at once: POST /v1/resolve/batch
  • All figures on this page, machine-readable: GET /v1/coverage
05

Where this ends

We are not trying to turn your 16 into our 16 — that is your job, and you do it better. Device-level verification only matters when someone is making a promise about a specific machine: collateral, resale, custody, insurance, dispute. In those settings the machine is not on an AWS invoice — it is on a list, in a seller's hands, on a rack in a colo.

So the most natural first step is: at the exit of your quote-benchmarker / procurement flow, add one check — "has this batch been verified?" One GET does it, no architecture change, and it does not compromise your vendor-neutral position: the registry is public, signed, and recomputable by anyone, so using it cannot be mistaken for being bought.

Generated 2026-11-06 05:23 UTC and recalculated as the ledger grows. GPUAdvisor's list of 16 was read on 2026-11-06 (source). If your list changes, this page follows on the next recompute — the mapping is not hard-coded into the page.