The edge-first, power-first neocloud

The land is bought. The power is permitted. The GPUs are running today.

Layer7 runs your workload on orchestrated partner capacity right now — one control plane, one invoice, jurisdiction named. Meanwhile we are building what nobody else is: a sovereign stack we own end to end. Our first owned sites come online in Québec in 2026 and Florida in 2027. Start today. Reserve a place at either.

Reserve capacity View compute & pricing
First owned sites:Québec 2026•Florida 2027•A100 in weeks•B200 · B300 · Rubin reserved
0 MW
Committed capacity
0 MW
Active pipeline
0 GW
Edge vision @ <10ms
0% owned
Land at Site 01
Why we're different

Most neoclouds rent, and stop there. We rent today and own tomorrow — on purpose.

CoreWeave, Lambda, Crusoe and the rest lease colocation and buy grid power — permanently. We use partner capacity to serve you now while we build the alternative: land we already hold, power we generate on site, buildings we own. Renting is their business model. For us it is a bridge, and we will tell you when we are across it.

⌂

The land is ours

Site 01 land is purchased with permits in place, gas and fiber already on it — zoning cleared, expanded on our timeline, not a landlord's.

⚡

The power is permitted

On-site LNG-preferred generation, permitted and engineered at our Florida site — so from 2027 our power there is independent of grid outages, interconnection queues and price spikes. Fixed cost, our own supply.

♻

Sustainable by design

Direct-to-chip liquid cooling, low PUE, and waste-heat reuse. Every environmental win is also a cost win.

◴

Edge-sited, on fiber

Right-sized facilities on fiber close to your users — sub-10 ms inference over dedicated fiber, not distant hyperscale campuses.

Three tiers of control

Sovereignty is a ladder, not a badge.

Most providers use “sovereign” to mean “in your country.” We define it as ownership — of the facility, the hardware and the platform — because ownership is something you can verify instead of taking on trust. Layer7 runs three tiers, and we always tell you which one your workload is on.

◇

Partner · AVAILABLE NOW

Capacity on vetted partner infrastructure — provisioned, orchestrated, monitored and billed through Layer7. One control plane, one invoice, and the jurisdiction named for every deployment. We do not own this hardware, and we never imply otherwise.

◈

Dedicated · NEXT

Layer7-owned hardware in a jurisdiction we name. The building is still rented, so this is not sovereignty — but no third party sits between you and the machine your model runs on.

⛨

Sovereign · QUÉBEC 2026 · FLORIDA 2027

Facility, hardware and platform under a single owner. Québec in 2026, the Florida Panhandle in 2027 — the full stack, verifiable end to end, and in Florida with power we generate ourselves behind it.

Whichever tier you buy, the distinction is stated in writing before you sign. If you need sovereignty today, we will tell you we cannot serve it yet rather than route you to something that nearly fits.

Purpose-built. Powered on-site.

Datacenters built for the edge, powered on-site.

We are building datacenters we own and power on site with LNG-preferred generation — engineered for reliability, fast to your region, and sited at the edge where your workloads run.

Layer7 edge datacenter site with on-site LNG-preferred power
The fleet

A100 capacity in weeks. Blackwell reserved for scale.

Start on A100 as soon as it lands, or reserve Blackwell and Rubin clusters ahead of the owned sites.

Available in weeks
NVIDIA A100
The fastest way to start. A100 capacity comes online shortly for inference, fine-tuning and steady production workloads — proven silicon, lower cost per hour, no queue. Partner-hosted, Layer7-orchestrated.
Reserve A100 →
Blackwell
NVIDIA B200
Flagship Blackwell for training & high-throughput inference. Reserve clusters at scale.
Reserve B200 →
Blackwell Ultra
NVIDIA B300
Higher-memory Blackwell Ultra for the largest models and longest context windows.
Reserve B300 →
Next-generation
NVIDIA Rubin
NVIDIA's next architecture — reserve ahead now for priority access as it lands.
Reserve Rubin →
Power is the moat

You can buy GPUs. You can't buy power.

Grid interconnection queues run years. We skipped the queue by buying land with gas and fiber already on it and permitting our own generation — so when Florida comes online in 2027, the power is ours, fixed-price and off the queue entirely.

The edge network

Sovereign cloud everywhere you operate — from 2026.

Our first owned sites come online in Québec in 2026 and the Florida Panhandle in 2027, alongside collaboration sites across Canada and the US — all engineered to sit within 10ms of your customers, under one provider and one control plane.

Florida PanhandleOnline 2027IndianaIn developmentSouth FloridaCollaborationPennsylvaniaCollaborationSouthern OntarioCollaborationEastern TownshipsQuébec · CollaborationEastern OntarioCollaboration · coming onlineOhioCollaboration · coming online
Within 10 ms of the North American population.
Layer7 owned Collaboration site Partner capacity Edge expansion
Layer7 vs. the typical neocloud

Same GPUs. A fundamentally different foundation.

 
Typical neocloud
Layer7 Systems
Land & buildings
— Leased colocation, permanently
✓ Owned, purpose-built — from 2026
Power
— Grid / utility queue
✓ On-site generation — Florida, 2027
Footprint
— Hyperscale, centralized
✓ Edge-first, right-sized, on fiber
Sustainability
— Offsets / add-on
✓ Designed-in: low PUE, heat reuse
Stack
— Compute only
✓ Power → compute → orchestration → apps
Data plane ownership
— Not disclosed
✓ Stated per tier: Partner, Dedicated or Sovereign
Isolation
— Shared multi-tenant
✓ Dedicated fabric, hardware-level
The question nobody else answers

Your GPUs. Your data. Your control.

Who owns the building your model runs in? Who owns the machine? Who could be compelled, acquired or breached between you and your weights? We publish our answer for every tier — partner capacity today, our hardware next, our whole stack in Québec in 2026 and the Florida Panhandle in 2027. Ask your current provider for theirs.

Partners & ecosystem

Built with leading technology and infrastructure partners.

NVIDIASilicon SupermicroSystems

Reserve dedicated GPU capacity.

Real-time inference, on infrastructure you can audit — close to your users.

Reserve capacity
Compute & pricing

From a GPU slice to a cluster. Lower rates for longer commitments.

Three reserved-compute options, plus a dedicated track for enterprises taking 3 MW or more — delivered today on orchestrated partner capacity, from 2026 in our first owned datacenter in Québec, and from 2027 in the Florida Panhandle where we generate the power too.

Three ways to run with Layer7

Partner capacity today. Sovereign capacity from 2026.

Sovereignty, to us, means one company owns the facility, the hardware and the platform. Our first owned sites come online in Québec in 2026 and the Florida Panhandle in 2027 — and until we are there, we tell you exactly which of the three you are buying.

◇

Tier 3 · Partner · AVAILABLE NOW

GPU capacity on vetted partner infrastructure — provisioned, orchestrated, monitored and billed through Layer7. One control plane, one invoice, and the jurisdiction named for every deployment. Layer7 does not own this hardware, and we say so rather than let you assume otherwise.

◈

Tier 2 · Dedicated · NEXT

Your workload on hardware Layer7 owns outright, in a jurisdiction we name. Not full sovereignty — the facility is still someone else's — but no third party sits between you and the machine your model runs on.

⛨

Tier 1 · Sovereign · QUÉBEC 2026 · FLORIDA 2027

The complete stack under a single owner: our facility, our hardware, our platform. Québec comes online in 2026; the Florida Panhandle follows in 2027, adding power we generate ourselves. Nothing between you and your workload that we do not control — reserve now against either.

How you take capacity

From a slice of a GPU to a cluster of your own.

Four form factors on the same control plane. The further down this list you go, the less you share — and we tell you exactly where the sharing stops.

◔

vGPU / MIG

A partition of a physical GPU — MIG slices or vGPU profiles — for development, notebooks, small inference and burst work. The cheapest way in and the fastest to start. This is shared silicon: the card is partitioned between tenants, with memory and compute fenced per instance. We say so rather than call it dedicated.

▤

Bare metal

A whole server, no hypervisor between you and the hardware. Full GPU passthrough, your own kernel and drivers, direct NVLink between the cards in the box. For training runs and anything that pays a tax for virtualisation.

▦

Pods — full node

A sealed unit of two servers and sixteen GPUs with its own UPS, cooling and network feed. Nothing else runs inside it. The smallest unit we can hand over whole, and the form factor sovereignty is built on.

▩

Dedicated clusters

Multiple pods reserved together for one tenant, with a ring-fenced allocation and scheduling that answers only to you. Non-blocking cross-pod fabric is available as an option against committed multi-pod demand — the default is dedicated pod-islands.

Priced per slice-hour. You hold a guaranteed fraction of a card with fenced memory and compute — not a best-effort share of whatever is spare.

1g slice

Hourly · no commitment
≈ 1/7 of a GPU · smallest unit
from
$1.44 / slice-hour
≈ $10.08 / GPU-hour if you held the card
  • Notebooks, dev and small inference
  • Fenced memory and compute
  • Start in minutes
  • Shared card — labelled as such
Reserve a slice
Most popular

2g slice

12–24 month term
≈ 1/3 of a GPU
from
$3.36 / slice-hour
≈ $10.08 / GPU-hour if you held the card
  • Production inference at moderate load
  • Fenced memory and compute
  • Lower rates on longer terms
  • Shared card — labelled as such
Reserve 2g

3g slice

12–24 month term
≈ 1/2 of a GPU
from
$5.04 / slice-hour
≈ $10.08 / GPU-hour if you held the card
  • Larger models without a whole card
  • Fenced memory and compute
  • Step up to bare metal any time
  • Shared card — labelled as such
Reserve 3g

Priced per GPU-hour. Whole servers, full passthrough, no hypervisor.

Flex

12–24 month term
Usage-based · billed by the GPU-hour
from
$8.07 / GPU-hour
≈ $5,891 / GPU-month at full utilisation
  • Pay only for GPU-hours used
  • Burst & scarcity capacity
  • Shorter commitment
  • Hardware-level isolation included
Reserve Flex
Most popular

Strategic Reserved

24–36 month term
Take-or-pay · reserved capacity
from
$6.11 / GPU-hour
≈ $4,460 / GPU-month at full utilisation
  • Committed, guaranteed clusters
  • Priority scheduling
  • Choice of B200 / B300 / Rubin
  • Compliance-grade SLAs
Reserve capacity

Anchor · Take-or-Pay

48–60 month term
Take-or-pay · reserved capacity
from
$5.13 / GPU-hour
≈ $3,745 / GPU-month at full utilisation
  • Lowest rate, guaranteed capacity
  • Dedicated, reserved allocation
  • Custom configurations
  • Priority on new silicon
Talk to sales

Priced per node-hour for the whole pod — 2 servers, 16 GPUs, its own UPS, cooling and network feed. Nobody else inside it, and nobody scheduled into it behind you.

Pod · Flex

12–24 month term
Whole node · billed by the node-hour
from
$154.94 / node-hour
≈ $9.68 / GPU-hour · $113,106 / month
  • 16 GPUs, exclusively yours
  • Own UPS, cooling and feed
  • Bring your own images and keys
  • Move between sites on renewal
Reserve a pod
Most popular

Pod · Reserved

24–36 month term
Take-or-pay · reserved node
from
$117.31 / node-hour
≈ $7.33 / GPU-hour · $85,636 / month
  • Guaranteed node, named site
  • Priority on new silicon
  • Compliance-grade SLAs
  • Tier 1 sovereign from 2026
Reserve a pod

Pod · Anchor

48–60 month term
Take-or-pay · reserved node
from
$98.50 / node-hour
≈ $6.16 / GPU-hour · $71,905 / month
  • Lowest node rate
  • Multi-pod clusters available
  • Custom fabric options
  • First call on capacity
Talk to sales

Billed per GPU-second while your endpoint is serving, with no charge for idle time between requests. The per-second rate carries a premium over reserving the same silicon outright — you are buying elasticity, and paying only for the seconds you use. Hourly equivalents shown so the comparison is honest.

On-demand

No commitment
Per-second · scale to zero
from
$0.0034 / GPU-second
≈ $12.19 / GPU-hour while serving
  • Pay only while serving
  • Scale to zero between requests
  • Deploy from the model library
  • Cold start on first request
Deploy an endpoint
Most popular

Reserved endpoint

12–24 month term
Committed throughput
from
$0.0026 / GPU-second
≈ $9.23 / GPU-hour while serving
  • Always-warm, no cold start
  • Guaranteed concurrency
  • Named region and tier
  • Compliance-grade SLAs
Reserve throughput

Anchor endpoint

36 month+ term
Take-or-pay · committed
from
$0.0022 / GPU-second
≈ $7.75 / GPU-hour while serving
  • Lowest per-second rate
  • Dedicated serving capacity
  • Custom autoscaling policy
  • Priority on new silicon
Talk to sales

How the four compare

Normalised to a GPU-hour so you can read across: bare metal $8.07 · pods $9.68 · vGPU $10.08 · inference $12.24. The more elastic the commitment, the more you pay per GPU-hour — buy the whole server and you carry the utilisation risk, buy by the second and we do.

Why we are not the cheapest

You can rent a GPU-hour for less. What you cannot buy at the bottom of the market is a named jurisdiction, a data plane whose owner is stated in writing, physical isolation down to the enclosure, and a provider who will tell you when the capacity you asked for is not the capacity being offered. Spot markets reprice under you, quietly reschedule you, and disclose nothing. We price above them deliberately, and we publish what you get for it.

Indicative starting rates for review. Final pricing is confirmed with our team and scales with commitment length, volume, and silicon. All dedicated form factors include hardware-level tenant isolation; vGPU and MIG hold a guaranteed fenced partition of a shared card by design.

FULL-NODE RENTAL · TIER 1

Rent the whole node. Nobody else is in it.

The purest version of what we mean by sovereign. You take a complete sealed pod — two servers, sixteen GPUs, its own UPS and battery ride-through, its own cooling loop, its own network feed — and nothing else runs inside it. Not a reserved slice of a shared machine, and not a scheduling promise: the physical unit, one tenant, in a building we own. Bring your own images and keys; we hand you the node and stay out of it.

2 × HGX B300 servers16 GPUs~40 kW design peakDedicated 60 kVA UPSSealed IP65 enclosureOwn cooling & heat rejectionBilled per node, per month

Fully sovereign from Québec in 2026 and the Florida Panhandle in 2027, where Layer7 owns the building. Available sooner on partner capacity as dedicated hardware — same physical isolation, but the facility is not ours, and we will say so in writing.

Reserve a node How pods work

Enterprise capacity — 3 MW and above

Taking a megawatt-scale footprint? Reserve dedicated, ring-fenced capacity at volume-discounted GPU-hour rates, with on-site power, turnkey build-out, and long-term terms. Our team will tailor a package to your workload.

Contact sales for details
What every reservation includes

Isolated by default. Sovereign by 2026.

⛨

Hardware-level isolation

On bare metal, pods and dedicated clusters: no shared compute, audit-grade tenant separation with attestation. On vGPU and MIG the card is partitioned — fenced per instance, and labelled as shared.

⚡

Reliable, fixed-price power

On-site LNG-preferred generation — independent of grid outages and price spikes, for stable cost and uptime.

◴

Edge placement on fiber

Sited on fiber close to your users for real-time, sub-10 ms inference.

✓

Compliance-ready

GLBA, GDPR, HIPAA, DORA-aligned with SOC 2 evidence built in.

Platform

Power, compute, orchestration — built for sovereignty.

A full-stack platform engineered so regulated enterprises run AI inference at the edge with isolation, performance, and compliance built in from the silicon — and the power — up.

How we define sovereign

Sovereignty is ownership — not just isolation, and not just where the data lives.

Most of the market treats "sovereign" as a synonym for data residency. We think that's the starting line, not the finish. To us a cloud is sovereign only when one company owns the facility, the hardware and the platform — so there is no third party who can be compelled, acquired, or breached between you and your workload. Residency is a fact about geography. Isolation is a fact about architecture. Sovereignty is a fact about ownership, and it is the hardest of the three to claim honestly. Today we deliver isolation — your GPUs, memory and GPU network fabric are dedicated to you and isolated from every other tenant at the hardware level (the IP network is shared, your GPU interconnect is not). Full sovereignty arrives in 2026 at our first owned site in Québec, and in 2027 in the Florida Panhandle. We would rather tell you which one you are buying than blur the two.

Tier 3 · Partner

Facility partner · Hardware partner · Platform Layer7.

What we may say: “delivered on partner infrastructure in a named jurisdiction, orchestrated and billed by Layer7.” No residency guarantee beyond what that provider contractually offers.

Tier 2 · Dedicated

Facility rented · Hardware Layer7 · Platform Layer7.

What we may say: “your workload runs on Layer7-owned hardware in a named jurisdiction.” It does not claim facility ownership or physical custody.

Tier 1 · Sovereign

Facility Layer7 · Hardware Layer7 · Platform Layer7.

Full-stack claims. No capacity may be described as sovereign until Layer7 owns the facility it runs in — which is our first owned site, in Québec, in 2026.

▣

Workload isolation — what you get today

On dedicated form factors — bare metal, pods and clusters — GPUs, memory and GPU network fabric are yours alone, enforced at the hardware level: no noisy neighbours, no shared accelerators, no co-tenanted GPU interconnect. Choose vGPU or MIG and you are deliberately sharing a card; we price and label it that way rather than blur the line.

◷

Data residency — table stakes

Keeping data in-country is necessary, and it's built in. But residency alone is the floor, not the differentiator. We start there and add the isolation guarantees regulated workloads will actually be held to next.

The console

One control plane. Every tier, labelled.

Spend, capacity, deployments and optimisation in one place — across owned and partner regions alike. The tier badge sits in the header of every session, so the question of who owns the hardware under your workload is answered before you launch anything, not buried in a contract.

Layer7 console dashboard showing month-to-date spend, GPU allocation, running deployments and optimisation recommendations
Overview — spend, allocation and live deployments, with the control-tier badge in the session header.
Layer7 console capacity planner showing GPU type, count, hours and region with a capacity analysis
Capacity planner — size a run by GPU type, hours and region before you commit to it.

Console shown with sample data.

The unit of isolation

Your workload runs in its own sealed pod.

Most clouds sell you a slice of a shared rack row and call the software boundary “isolation.” We deploy in pods — sealed, self-contained units holding two GPU servers and nothing else. Each one carries its own power chain, its own cooling, and its own heat rejection. Nothing inside is shared with another tenant, because there is nothing else inside.

▦

Two servers. Sixteen GPUs.

A single sealed cabinet holds exactly two 8U HGX B300 servers — 16 GPUs, around 40 kW at design peak. Not a partition of something larger. The whole unit, or none of it.

⚡

Its own power chain

Every pod has a dedicated 60 kVA UPS with lithium-iron battery ride-through, so a grid disturbance is absorbed inside your unit rather than upstream of a hall full of tenants.

❅

Its own cooling

Rear-door heat exchanger and self-rejecting condenser bay inside a sealed IP65 enclosure. Your heat leaves at the pod — it never mixes into a shared cold aisle, and there is no chilled-water plant to share or fail.

⛨

The unit of sovereignty

At the sites we own, the pod is what makes Tier 1 physical: our building, our hardware, our platform, in a sealed cabinet nobody else opens. Sovereignty you could walk up to and put a hand on.

Pods deploy at every tier — the isolation is the same. What changes with the tier is who owns the building around them.

Power & sustainability

Power-first siting is the advantage — and it's green.

Because we are permitting and building our own on-site LNG-preferred generation, we move while the grid stays constrained — and because we engineer for efficiency, every environmental gain is also an economic one.

On-site LNG fuel cell generators
On-site LNG-preferred generation
Edge datacenter site
Purpose-built datacenters

Self-generated power

LNG-preferred generation, with solar/storage layered in — bypassing multi-year utility "large-load" queues, fixed-price and resilient.

Liquid-cooled & low-PUE

Direct-to-chip cooling and dense compute, engineered across five+ GPU generations with waste-heat reuse.

Edge-sited & fast to deploy

Right-sized units near demand — lower latency, faster to build, lighter community and grid footprint.

Who we serve

For data, regulatory, and performance needs the cloud can't meet.

01

Regulated entities

Banks, governments, and regulated enterprises deploying private AI inference on data that must stay in-country — audit-grade isolation, sub-10 ms reach.

02

Neoclouds & AI-native ISVs

Production GPU access without hyperscaler waitlists, lock-in, or unpredictable egress — transparent per-GPU-hour pricing.

03

Enterprise & Fortune 500 (3MW+)

Internal copilots and agentic systems on proprietary IP — dedicated, ring-fenced megawatt-scale capacity with on-site power.

Company

Land, power, compute, and software — under one roof.

Layer7 Systems brings together an edge GPU cloud operator and a 30+ year master developer of land and power — purpose-built to operate and scale sovereign-ready AI compute across the North American edge.

▥

The compute layer

An edge GPU neocloud and AI-native orchestrator with a track record serving regulated enterprises — provisioning, scaling, monitoring, and governing GPU workloads, with NVIDIA and Supermicro partnerships.

⌂

The land & power layer

A 30+ year master developer bringing owned, zoning-cleared sites, rapid datacenter delivery, and on-site LNG-preferred power — anchored by long-term offtake.

Leadership

Purpose-built to scale sovereign AI compute.

Deep expertise across AI infrastructure, data centers, enterprise sales, security, energy, and finance.

NP

Neil Paine

Chief Executive Officer

Real-estate development and finance leader; 15+ years building and operating large-scale infrastructure, drawing on The Eagle Group's 30+ year track record.

BL

Blair Lilford

Chief Technology Officer

Two decades building telecom and datacenter infrastructure; multi-time founder. Previously with Nortel and SALT Technology Group, and serves on a government technology advisory board.

MC

Mike Cook

Chief Marketing & Ops Officer

Senior roles at Fortune 200 companies in business development and operations; start-up unicorn SVP.

PR

Pujan Roka

Connectivity

Fiber and edge connectivity expert; patent holder and published contributor on AI connectivity.

CC

Chris Crane

Energy

Energy-solutions founder; leader in clean energy, critical infrastructure, and next-gen power systems.

Trajectory

From live pilot to gigawatt scale.

Now
Tier 3 · Partner capacity — GPU capacity live on partner infrastructure, orchestrated, monitored and billed end to end by Layer7; first enterprise customers onboarding.
Next
Tier 2 · Dedicated — Layer7-owned hardware in named jurisdictions. The building is still rented; the machines are ours.
2026
Tier 1 · Sovereign — our first owned site, in Québec. Facility, hardware and platform under one owner; the first capacity we can honestly call sovereign.
2027
Site 01, Florida Panhandle — 20 MW on land we already hold, with on-site LNG-preferred generation. Sovereign and self-powered.
2026–27
Edge expansion — scaling the 100 MW pipeline across the North American edge.
Vision
Sovereign cloud everywhere you operate — within 10 ms of your customers: one provider, one control plane, every market you need.
Locations

Building across Canada and the US.

Owned sites plus collaboration locations across Canada and the United States. Our first owned site comes online in Québec in 2026 and carries the sovereign tier; Site 01 in the Florida Panhandle follows in 2027, adding power we generate ourselves.

Layer7 sites

Florida Panhandle
Pensacola area · Site 01 · Online 2027

Land secured, permits in place, with natural gas and fiber already on site. Breaking ground shortly — our first self-powered datacenter, running on LNG-preferred generation we build and own, independent of the grid.

✓ Land purchased✓ Permits in place✓ Gas on site✓ Fiber on site
Breaking ground shortly
Indiana
Site 02 · Under development

Our next site — under development, extending the power-first edge footprint. Details to follow.

Under development

Collaboration locations

South Florida
Collaboration · United States

South Florida edge presence through a Layer7 collaboration partner.

Collaboration
Pennsylvania
Collaboration · United States

Northeast US capacity delivered with a Layer7 collaboration partner.

Collaboration
Eastern Townships
Collaboration · Québec, Canada

Canadian capacity in the Estrie region through a Layer7 collaboration partner — inside the Montréal–Boston–New York triangle, within 10 ms of more than 35 million people.

Collaboration
Eastern Ontario
Collaboration · Canada

Eastern Ontario capacity through a Layer7 collaboration partner — coming online in the next few months.

Coming online
Ohio
Collaboration · United States

Ohio capacity through a Layer7 collaboration partner — coming online in the next few months.

Coming online
Southern Ontario
Collaboration · Canada

Canadian presence in southern Ontario through a collaboration partner.

Collaboration

Have a site? Let's build it together.

Own land, power, or a facility and need a partner to design, build, and operate the datacenter? You bring the site — Layer7 brings turnkey build, on-site power, and dedicated GPU operations. Let's talk.

Partner with us
◉ Operating across the United States and Canada, including Québec.
Investors

A power-first wager on the inference era.

Layer7 brings land, power, compute, and software under one roof to deliver sovereign-ready AI inference at the edge. This page is a high-level overview — for more information, reach out and our team will follow up personally.

Request more information
The thesis

Inference. Edge. Sovereign.

AI is shifting from training to inference — latency-sensitive, distributed, and anchored to users. The bottleneck is no longer chips; it's power. And sovereignty is becoming the default for any enterprise running sensitive data through AI.

↻

Inference is the recurring layer

Every query, agent action, and copilot runs through inference — the recurring-revenue layer of AI, growing fast and moving to the edge.

⚡

Power is the moat

You can buy GPUs; you can't buy power. We bought land with gas and fiber on it and permitted our own generation — gas-first, renewables-ready — while competitors sit in interconnection queues.

⛨

Climbing the ownership stack

Partner capacity earns revenue today; Layer7-owned hardware and then a Layer7-owned facility move margin and defensibility up the stack with each tier. Regulated demand is already there — one major breach makes full-stack sovereignty the default for everyone.

Why Layer7

Land, power, compute, and software — under one roof.

Two domain leaders, one integrated company: a 30+ year master developer of land and power joined with an edge GPU neocloud and AI orchestrator — capturing margin across the full stack.

⌂

The land & power layer

Owned, zoning-cleared sites; on-site LNG-preferred power; modular delivery — anchored by long-term offtake.

▥

The compute & GTM layer

Edge GPU neocloud and AI-native orchestration with a regulated-enterprise track record, plus NVIDIA and Supermicro partnerships.

0 MW
Committed capacity
0 MW
Active pipeline
NVIDIA · Supermicro
Strategic partners
Live 2026
First customers
Investor relations

Request more information.

Interested investors can request more information about Layer7 and the current opportunity. Share a few details and our team will follow up personally.

This page is for information only and is not an offer to sell or a solicitation of an offer to buy any security. Any offering will be made only to qualified investors pursuant to definitive documents and applicable securities laws.

Reserve capacity

Tell us what you need. We'll tell you what we can honestly serve.

Reserve partner capacity running today, or hold a place at one of our owned sites — Québec in 2026, the Florida Panhandle in 2027, Indiana in development. Tell us what you need and our team will follow up within one business day. If your requirement is full sovereignty, we will place you against an owned site rather than offer you something that nearly fits.

Reach us

hello@layer7.systems

For reserved compute, enterprise 3 MW+ capacity, partnership, or investor inquiries, email us and a member of the team will respond within one business day.

Layer7 Systems

The edge-first, power-first neocloud. The land is bought, the power is permitted, and your GPUs are running today — sovereign from 2026.