Seam
// technical overview
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TECHNICAL OVERVIEW

Follow the line, from the ground to the GPU.

Seam deploys private GPU infrastructure on natural-gas wells it owns. This is the whole path - how the gas is sourced, how it becomes power, where power becomes compute, and what a working site actually is. The compute itself stays dedicated and private; the rest, we will walk you through.

Scroll the seam
00 / THE CONSTRAINT

Time to power, not silicon.

The binding constraint in AI compute is not chips or capital - it is time to power. Grid interconnection queues run three to four years across ERCOT, MISO and PJM, and a handful of hyperscalers hold the front of the line. Generating power on-site skips the queue entirely.

Grid interconnection queue · ERCOT · MISO · PJM3-4 years
Traditional colo build · build-to-suit AI density12-24 months
Seam - off-grid · acquisition close -> first GPU14 weeks
// bars to scale · time-to-power is the binding constraint, not silicon
01 / SOURCE

Stranded gas, owned - not borrowed.

Seam acquires marginal-producing gas leases outright - multi-well pads where the gas is stranded, uneconomic to ship, and the operator wants it off their books. Owning the wellbore rather than renting flare gas makes the gas a primary, fixed-price commodity for the life of the lease. That ownership is the moat.

  • Multi-well pads · 5-15 bores
  • Known production decline curve
  • P&A liability assumed at close
  • ≈ $1 / MCF, contracted for term
02 / CONVERT

Power, made at the wellhead.

Power is generated on-site by reciprocating gas engines - chosen over turbines for two reasons: they are available in months rather than on a 24-30 month backlog, and they are sized right for the hundreds-of-kW-to-low-MW volume a marginal lease yields. SLA-bearing sites run N+1, so any one engine can drop for service without dropping the cluster.

  • 3 × Upstream Data 325 kW gensets
  • ≈ 975 kW gross → ~686 kW IT at 1.35 PUE
  • Runs on field gas, minimal treatment
  • Reciprocating, not turbine
- / THE SEAM

Where power becomes compute.

This is the seam. Because the gas is contracted at a fixed price, the cost per kWh is fixed before the site ever turns on - raw energy in, precise dedicated compute out. The same line that carried power now carries compute.

03 / COMPUTE

Dedicated, and yours.

What the customer gets is dedicated and private: single-tenant, air-isolated facilities - no shared tenancy, no neighbor on the rack, full physical custody. Managed H100 clusters, or bring your own hardware; Seam is vendor-agnostic on silicon and earns power-and-uptime margin only. How the cluster is built is ours to operate - what it is, is yours.

  • Single-tenant · air-isolated
  • Managed H100 or BYOG
  • Vendor-agnostic silicon
  • Physical custody by default
- / THE INTERFACE

And then you just address it.

Operating the wells, the gensets and the fiber is ours. What you touch is an endpoint - a base URL, a CLI, a cluster you address like any other. Hit managed H100 over an OpenAI-compatible API, or bring your own stack: a kubeconfig for your nodes, or the whole dark-fiber fabric as one logical cluster.

Interface · seam.cli live
0207$ curl https://api.seam.*/v1/chat/completions
0215200 · dedicated cluster · us-regionOpenAI-compatible
0223$
  • OpenAI-compatible endpoint
  • Kubernetes · Slurm · Terraform
  • SSH · S3-compatible storage
  • Dedicated tenancy · single-tenant
04 / THE SITE

What a site actually is.

A Seam site is small by design - a ~1 MW off-grid build at the wells, not a hyperscaler campus. Because moving data is far cheaper than moving gas, we build compute where the gas already is and stitch sites together over dark fiber in a ring, so a handful of pads read as one logical cluster. Inter-site networking adds only ~5% to CAPEX. Closed-loop cooling, no potable water at scale, and a published 99.5% SLA.

  • ~536 H100s / site · ~2,680 per 5-site cluster
  • Dark-fiber ring → one logical cluster
  • 99.5% SLA · < 4 hr / mo unplanned
  • Closed-loop / dry cooling
05 / THE BUILD

14 weeks from close to compute.

Fourteen weeks from acquisition close to first revenue compute. The schedule is engineered around brownfield reuse - existing pads, tank batteries and road access carry a fraction of greenfield cost.

0
2
4
6
8
10
12
14
wk 0-2
Site assessment, civil prep, fiber design
wk 2-6
Generators mounted · switchgear staged
wk 4-8
Racks + cooling delivered · fiber lit
wk 6-12
Hardware install / customer ramp-in
wk 12-14
Burn-in · SLA validation · first compute
06 / THE ECONOMICS

From a dollar of gas to a GPU-hour.

The all-in price works backwards from gas contracted at the wellhead. Because the input is fixed, so is the output - power that does not move with spot gas, grid tariffs, or capacity-market shocks. Indicative figures, not commitments.

Gas at the wellhead
contracted at a low fixed price for the lease term
On-site generation
reciprocating engines on field gas — fixed-cost power
+ site overhead
NOC, cooling, fiber, insurance, P&A reserve
Customer power · BYOG
≈ $0.137 / kWh · vs $196 colo avg
$100 / kW / mo
Managed GPU
vs $3.93-12.29 hyperscaler
$2.85 / H100 / hr
07 / WHERE SEAM SITS

Available, and priced predictably.

Seam competes for a specific dollar at the intersection of hyperscaler rentals, neocloud clusters and gas-fueled colocation. None is a pure substitute - honest comparison is more useful than blanket claims of cheapness.

Hyperscaler
Neocloud
Colo
Seam
Time to first GPU
3-6 mo
grid-paced
12-24 mo
14 weeks
H100 / hr
$3.93-12.29
$1.99-4.76
-
$2.85
Tenancy
Shared
Mixed
Multi
Dedicated
Power source
Grid
Grid + PPA
Grid
Off-grid gas
Price exposure
Tariff + queue
Grid CapEx
Passthrough
Fixed for term
Not the cheapest H100 on the market - the one you can plug into next quarter, at a price that does not move with the grid, in a facility you can name as your own.
08 / THE HONEST PART

The methane math, plainly.

Stranded methane has roughly 80x the 20-year warming impact of CO2. Combusting gas that would otherwise leak from a marginal well is materially better than venting it - not carbon-negative, not renewable, and we will not claim either. Seam's position is to publish per-site measurement rather than lean on industry-average emission factors.

POWERCOMPUTE

Gas nobody can use, into compute everyone needs faster than they can get it.