§ 01 · Full-Stack AI Infrastructure

The foundation of AI.

Mantle designs, builds, and operates AI data centers across every layer of the stack. Land to inference, one company. GB200-class compute available now.

Tier III+ Pacific NW · OperatingLand to inference · Full stackGB200 Available Now
§ 02 · Why Now

Mantle's compute is available now.

Mantle has compute running today, placed in existing facilities and ready to use. No interconnect queue, no megacampus timeline, no waitlist. We are also building our own liquid-cooled sites near enterprise demand, each online in 12 to 18 months, for the long term. Inference, not training. Capacity that arrives when your workload does, not years after.

§ 03 · Platform

Every layer of the stack, from land to inference.

Most AI infrastructure is assembled from a dozen vendors. Mantle owns the whole stack: the land, the power, the building, the hardware, and the software that runs on it.

Powered land, secured
01

Land

Mantle sources and secures powered land and shovel-ready sites near enterprise demand, the scarce input every AI build starts from.

Grid-aligned deployment
02

Power

We size each site to fit distribution-level grid opportunities, so we can often move faster than the large campuses that depend on major transmission interconnections.

Liquid-cooled by design
03

Structure

Mantle designs and builds its own data centers, engineered from the slab for direct-to-chip liquid cooling at the densities frontier GPUs demand.

NVIDIA NVL72 systems
04

Hardware

We deploy and operate NVIDIA NVL72 systems. GB200 is operating now, with GB300 NVL72 on the roadmap.

Orchestration and fleet
05

Software

Orchestration, fleet automation, and the inference platform that turns the hardware into capacity teams can request and run.

Five layers, one company. From the dirt to the inference endpoint, Mantle builds and runs all of it.

Two ways we deliver

Capacity now

Mantle racks operating today in a Tier III+ facility we designed and run, selling compute now while our owned sites come online.

Owned sites

Data centers Mantle builds and runs end to end, land to inference, for economics and control a leased footprint cannot match.

§ 04 · Compute

GB200-class inference compute, available now.

It is operating today, in a facility Mantle designed and runs. This is capacity you can request and run now, not a waitlist.

Platform
GB200 NVL72Operating now. GB300 NVL72 on the roadmap.
Cooling
Direct-to-chipLiquid-cooled by design
Network
400G fabricDual-bonded, redundant
Facility
Tier III+Pacific NW

The platform we run is the platform we ship into every site we build.

Mantle scales with AI.

Rack power density is climbing fast. Today's GPUs need 120 to 160 kW a rack; the next generation pushes toward 600. Because Mantle owns the land, the power, and the buildings, our sites are built to move up that curve, not age out at a fixed ceiling.

RACK DENSITY (kW)~60 kWLegacy colo120–160 kWToday · GB200~600 kWNext gen · ~2027
§ 05 · Team

Operators, not tourists.

Mantle is run by senior operators from Microsoft, Google, LinkedIn, Intel, Comcast, and AECOM. Roughly fifteen leaders deep, across land, power, infrastructure, hardware, cooling, networking, construction, and capital. The people who designed and ran data centers at this scale are the people running Mantle, team by team.

Leadership

Zaid Kahn

Founder & ChairmanMicrosoft · LinkedIn · Open Compute Project

Ex-Microsoft VP/GM of AI infrastructure. Chairs the Open Compute Project board.

Jordan Friedman

Chief Executive OfficerCommercial Development · Powered Land

Experienced founder, commercial developer, and institutional fund manager. Expert in powered land and capital formation.

Infra Ops

Jacob Rose

Chief Development OfficerLinkedIn

Ex-LinkedIn principal data center engineer. Designs and builds the facilities.

John Jason Brzozowski

President, GPUaaSMicrosoft · Comcast

Ex-Microsoft chief architect on the first NVIDIA GB200.

Hussain Moosajee

Chief Investment OfficerInstitutional Finance · Real Estate

Institutional finance and real estate. Structures the capital.

Sean Bondar

Chief of Business DevelopmentAECOM · Accenture

Ex-AECOM SVP for global tech. Hyperscale delivery and business development.

Software

Dima Pugachevich

SVP Software EngineeringLinkedIn

Data center automation and Kubernetes at scale.

Alexander Kabanov

Principal EngineerLinkedIn · Apple

Platform engineering and GPU resource management.

Alexander Luberg

Principal EngineerLinkedIn

Infrastructure automation and DCIM at hyperscale.

Networking

Chris Tuska

Principal Network ArchitectImperium Data · Rocky Mountain IPv6

Network automation and orchestration.

Hardware & Systems

Aaron Anderson

Principal Systems EngineerMicrosoft · Intel

Liquid-cooled GPU systems. Ex-Microsoft GB200 systems.

Jason Chesser

SVP Systems EngineeringMicrosoft · Intel

Thermal and systems integration for HPC and GPU platforms.

Chris Gonzales

Principal Thermal Systems EngineerLenovo · Intel

Thermal engineering for next-generation HPC AI gear.

Structure

Karl Dzioba

Construction EngineeringSuffolk Construction

Mission-critical construction leader. Delivers the build.

Trevor Matthews

SVP EngineeringGoogle · LinkedIn

Data center architecture and operations. Ex-Google and LinkedIn.

Land & Power

Michael Lavillotti

Head of Land & PowerEdged Energy · NYISO

Energy markets and grid leader. Sites the power and secures the interconnect.

§ 06 · For Customers

Looking for compute?

GB200 available now

Request capacity

~ 30 seconds
Response within 24 hrs · No obligationNot ready? Just want to learn more
What you operate day one

A complete platform, not raw GPUs. Mantle runs the infrastructure end to end, so your team ships models, not tickets.

A Mantle engineer on your workloads

Direct engineering support, not a ticket queue.

Storage included, not billed on top

High-performance all-flash storage carved out for your team, in the platform price.

Managed GPU Kubernetes · Dedicated all-flash storage · Private container registry · Hard tenant isolation · Live telemetry and dashboards.

SOC 2 Type II in progress. Backed by a 99.99% uptime SLA.

What you can run

Production inference

Multi-tenant or dedicated GB200-class capacity, liquid-cooled and available now, deployed in weeks, not quarters.

Batch and high-throughput

Reserved capacity for large-scale batch and high-throughput inference, on hardware Mantle deploys and operates itself.

Multi-year capacity reservations are available for teams running AI as core infrastructure, with terms set against real, operating availability.

§ 07 · For Investors

Mantle is raising.

Request access to our data room for the full materials. Send your information and we will open it.