Zaid Kahn
Founder & ChairmanMicrosoft · LinkedIn · Open Compute ProjectEx-Microsoft VP/GM of AI infrastructure. Chairs the Open Compute Project board.
§ 01 · Full-Stack AI Infrastructure
Mantle designs, builds, and operates AI data centers across every layer of the stack. Land to inference, one company. GB200-class compute 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.
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.
Mantle sources and secures powered land and shovel-ready sites near enterprise demand, the scarce input every AI build starts from.
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.
Mantle designs and builds its own data centers, engineered from the slab for direct-to-chip liquid cooling at the densities frontier GPUs demand.
We deploy and operate NVIDIA NVL72 systems. GB200 is operating now, with GB300 NVL72 on the roadmap.
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.
Mantle racks operating today in a Tier III+ facility we designed and run, selling compute now while our owned sites come online.
Data centers Mantle builds and runs end to end, land to inference, for economics and control a leased footprint cannot match.
It is operating today, in a facility Mantle designed and runs. This is capacity you can request and run now, not a waitlist.
The platform we run is the platform we ship into every site we build.
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.
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.
Ex-Microsoft VP/GM of AI infrastructure. Chairs the Open Compute Project board.
Experienced founder, commercial developer, and institutional fund manager. Expert in powered land and capital formation.
Ex-LinkedIn principal data center engineer. Designs and builds the facilities.
Ex-Microsoft chief architect on the first NVIDIA GB200.
Institutional finance and real estate. Structures the capital.
Ex-AECOM SVP for global tech. Hyperscale delivery and business development.
Data center automation and Kubernetes at scale.
Platform engineering and GPU resource management.
Infrastructure automation and DCIM at hyperscale.
Network automation and orchestration.
Liquid-cooled GPU systems. Ex-Microsoft GB200 systems.
Thermal and systems integration for HPC and GPU platforms.
Thermal engineering for next-generation HPC AI gear.
Mission-critical construction leader. Delivers the build.
Data center architecture and operations. Ex-Google and LinkedIn.
Energy markets and grid leader. Sites the power and secures the interconnect.
A complete platform, not raw GPUs. Mantle runs the infrastructure end to end, so your team ships models, not tickets.
Direct engineering support, not a ticket queue.
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.
Multi-tenant or dedicated GB200-class capacity, liquid-cooled and available now, deployed in weeks, not quarters.
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.
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