250 kW+
Racks built for the heaviest loads
250 kW+ racks supporting inferencing and training.
NEXT-GEN HYBRID AI
Plan.
Build.
Scale.
Dedicated GPU environments for training, inference and high-performance computing. Contracted by the megawatt, deployed in phases and run to one operating standard across every campus. Globally.
250 kW+
per rack, for training and inference
2.9GW
Capacity pipeline, 2,784–2,924 MW of critical IT load
09
Campus locations across the US, APAC and the Nordics
2027
First sites ready for service, from February
1×
Operating standard, the same at every campus
Training / Inference / HPC / 250 kW racks / By the megawatt / Air-gap AI / Deployed in phases / One standard /
Training / Inference / HPC / 250 kW racks / By the megawatt / Air-gap AI / Deployed in phases / One standard /
01 — AI INFRASTRUCTURE
Built loud.
Run quiet.
High-density halls, redundant power and a standardized supply chain, engineered once and repeated everywhere we build.
Future-proof by design
Power and cooling sized for the next generation of accelerators, not the last.
Standardized supply chain
NVIDIA, APLD, VAST and leading OEMs, specified the same way at every site.
MISSION CRITICAL
Mission-critical reliability
Redundant power paths and on-site generation keep workloads running.
02 — THE FULL STACK
From the
grid to the
outcome.
05
Enterprise business outcomes
Autonomous driving · Manufacturing optimization · Supply chain · Financial services · Energy optimization
04
AI operating system
Data integration & fusion · Agent orchestration · Air-gap AI deployment · On-prem or cloud · Workflow automation · Security & governance
03
WHERE CHRONOSCALE RUNS
AI Factory — ChronoScale Cloud Platform
AI infrastructure at scale · Hyperscaler connectors · Global data center footprint
02
Compute
NVIDIA and AMD GPUs · XPUs & CPUs · Storage innovators · High-performance networking · ODMs & OEMs
01
Energy
Land · Facility operations · Building systems · Physical infrastructure · Energy & environmental systems
“ChronoScale delivers more than GPU infrastructure — we provide the complete foundation, expertise, and execution needed to drive business outcomes.”
03 — DEPLOYMENT
From requirements
to outcome.
STEP 01
Assess
Define workload requirements, GPU needs, power density, networking, data movement, and deployment timeline.
STEP 02
Architect
Design the compute, networking, storage, and infrastructure around your workload and operating requirements.
STEP 03
Deploy
Integrate, validate, and benchmark the environment against agreed technical requirements.
STEP 04
Fully managed
24 x 7 NOC to Monitor performance, utilization, thermals, reliability, and capacity to keep infrastructure operating efficiently.
04 — GLOBAL CAPACITY
2,924 MW.
Three continents.
Up to 2,924 MW of critical IT load coming online from 2027 to 2031, across the US, Southeast Asia and the Nordics.
Finland
Denmark
North Dakota
Oklahoma
Alabama
Texas
Thailand
Philippines
Malaysia
05 — REAL-WORLD PROOF
Proven at scale.
Partnerships that put ChronoScale infrastructure to work for hyperscale and enterprise AI.
Microsoft + ChronoScale
50 MW AI compute deployment
Purpose-built AI infrastructure supporting NVIDIA GB300 NVL72 systems, including compute, networking, storage, cooling, and data center infrastructure.
Read the announcement
Microsoft
Nutanix + ChronoScale
Enterprise AI ecosystem
Strategic collaboration spanning AI infrastructure and the next generation of enterprise AI capabilities.
Read the announcement
Nutanix
06 — LEADERSHIP
The band.
Decades of building and scaling enterprise infrastructure and AI factories, now under one roof.
Cenly Chen
CHIEF EXECUTIVE OFFICER
CEO and board director. 20+ years in enterprise infrastructure and AI computing; previously led global growth initiatives at Supermicro, managing a $40B+ business.
Lawrence Lam
CHIEF PRODUCT OFFICER
Leads global product strategy for AI compute platforms. 20+ years and $20B+ in AI infrastructure deployments across AI, cloud, networking and compute-as-a-service.
Thomas Jorgensen
SVP MARKETING & OPERATIONS
30+ years as a technology entrepreneur. Ran go-to-market for AI Factories at Supermicro; co-founded Napatech and took it from garage startup to IPO.
Jerome Wong
CHIEF FINANCIAL OFFICER
CFO and Corporate Secretary since 2022. 25 years in finance, accounting and strategy across technology and life sciences. Canadian CPA; B.A. from UBC.
07 — NEWSROOM
Latest from
ChronoScale.
Your
GPUs.
On DEMAND.
Tell us what you need to train, serve or simulate. We will come back with sites, phasing and a ready-for-service date.
Thank you for your interest in ChronoScale.
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