Solutions
Global AI delivers vertically integrated sovereign AI infrastructure — purpose-built for nations, enterprises, and frontier AI developers who require dedicated, secure, and scalable compute at hyperscale.
Our facilities are engineered from the ground up around the world's most advanced GPU systems — supported by on-site power generation, direct-to-chip liquid cooling, and air-gapped network isolation where required.
NVIDIA GB200 NVL72
NVIDIA GB200 NVL72
Details:
The NVIDIA GB200 NVL72 is a rack-scale, liquid-cooled supercomputer combining 36 Grace CPUs and 72 Blackwell GPUs in a single unified NVLink domain. Built on the Blackwell architecture with 208 billion transistors on TSMC 4NP, it operates as a single massive GPU — delivering exascale AI compute in one rack.
Each GB200 Grace Blackwell Superchip connects two B200 Tensor Core GPUs to an NVIDIA Grace CPU via a 900 GB/s NVLink-C2C interconnect, enabling memory-coherent compute across the full cluster.
Highlights
H100 GPU
Key Details
- 72 Blackwell GPUs + 36 Grace CPUs — rack-scale unified compute
- 1.44 ExaFLOPS FP4 Tensor performance per rack
- 13.5 TB HBM3e memory per rack
- 576 TB/s total memory bandwidth
- 130 TB/s NVLink bisection bandwidth
- 208 billion transistors — TSMC 4NP process
- ~120 kW power draw, fully liquid-cooled
- 800 Gb/s networking via Quantum-X800 InfiniBand / Spectrum-X800 Ethernet
- Supports FP4, FP8, BF16, FP16, FP32, FP64 precision formats
- Includes BlueField-3 DPUs for zero-trust security & network acceleration
NVIDIA GB300 NVL72
NVIDIA GB300 NVL72
Details:
The NVIDIA GB300 NVL72 is the next evolution of rack-scale AI infrastructure — a liquid-cooled system combining 72 Blackwell Ultra GPUs and 36 NVIDIA Grace CPUs in a single 72-GPU NVLink domain. Built on the Blackwell Ultra architecture, it delivers 1.5x more AI compute FLOPS than Blackwell and is purpose-built for the age of AI reasoning and test-time scaling.
Each Blackwell Ultra GPU features 288 GB of HBM3e memory and new Tensor Core technology with 2x attention-layer acceleration. With up to 40 TB of total fast memory per rack and 800 Gb/s per GPU networking via ConnectX-8 SuperNIC, the GB300 NVL72 is engineered for multi-trillion-parameter models and frontier AI factories.
Highlights
Key Details
- 72 Blackwell Ultra GPUs + 36 Grace CPUs — rack-scale unified compute
- 1,440 PFLOPS FP4 — 1.5x more AI compute FLOPS than Blackwell GB200
- 288 GB HBM3e per GPU — up to 20 TB total HBM, 40 TB fast memory per rack
- 576 TB/s total memory bandwidth
- 130 TB/s NVLink 5 bisection bandwidth across all 72 GPUs
- 800 Gb/s per GPU via ConnectX-8 SuperNIC (Quantum-X800 InfiniBand / Spectrum-X Ethernet)
- 2x attention-layer acceleration vs. Blackwell
- Up to 132 kW power draw, fully liquid-cooled
- Supports FP4, FP8, FP6, BF16, FP16, TF32 precision formats
- Powered by NVIDIA Mission Control for AI factory orchestration
NVIDIA Vera Rubin NVL72 (Coming Soon)
NVIDIA Vera Rubin NVL72 (Coming Soon)
Details:
The NVIDIA Vera Rubin NVL72 is the next generation of rack-scale AI infrastructure, unifying 72 Rubin GPUs and 36 Vera CPUs in a single NVLink 6 domain.
Built on six co-designed chips — including ConnectX-9 SuperNICs and BlueField-4 DPUs — it treats the data centre as the unit of compute, purpose-built for agentic AI, deep reasoning, and gigascale inference.
Highlights
Key Details
- 72 Rubin GPUs + 36 Vera CPUs — rack-scale unified compute platform
- 3.6 ExaFLOPS NVFP4 inference / 2.5 ExaFLOPS NVFP4 training per rack
- 288 GB HBM4 per GPU — 20.7 TB total HBM4 per rack, 1.6 PB/s bandwidth
- 54 TB LPDDR5x coherent CPU memory per rack
- 260 TB/s NVLink 6 scale-up bandwidth — 2x the GB200's 130 TB/s
- 1.6 Tb/s per GPU networking via ConnectX-9 SuperNIC (Quantum-CX9 InfiniBand / Spectrum-6 Ethernet)
- 336 billion transistors per Rubin GPU — built on TSMC process
- 88-core Vera CPU with Spatial Multi-Threading (176 threads) + 1.8 TB/s NVLink-C2C
- 100% liquid-cooled, cable-free, fanless modular tray — 18x faster servicing vs. Blackwell
- First rack-scale platform with NVIDIA Confidential Computing across CPU, GPU & NVLink domains
We have real compute capacity available in 2026
Global AI
Infrastructure Pillars
Vertically Integrated Model
True sovereign AI means every aspect of the technology, from where the data center is built, to the energy that powers it, to the hardware and software that run the workload, is controlled, and the customer's data is protected. Global AI is the world's first hyperscaler to combine physical infrastructure, operational expertise, and software-enabled control into fully sovereign operations.
- Full-stack oversight - We design, build, and operate sovereign AI data centers end-to-end — from site selection and facility design to power, cooling, deployment, and ongoing operations.
- Full control of assets - We source, secure, own, and construct our facilities, reducing the risk of external interference. Our data centers are outfitted with leading NVIDIA systems, with servers and storage built in partnership with Dell and Super Micro, custom fit to each customer.
Performance at scale. GPU-dense, single-tenant, air-gapped, and 100% liquid-cooled — direct-to-chip cooling and rear-door heat exchangers engineered for 1000W-class GPUs. Built around NVIDIA GB300 NVL72 with Quantum-X800 InfiniBand networking, and architected for NVIDIA Vera Rubin. Cluster scale, not incremental expansion: our premier data center operates one of the largest NVIDIA GB300 NVL72 cluster in New York.
Sovereign Software-Enabled Control
True sovereignty requires more than dedicated hardware and physical isolation. It requires the ability to operate, monitor, and manage your environment,without giving up control. Global AI extends sovereignty beyond the physical layer through a dedicated software platform: the control of on premises infrastructure, with the operational simplicity of a hyperscaler.
- Sovereign Command Center - A "single pane of glass" across infrastructure, operations, and services: infrastructure health, node operations, deployments, diagnostics, alerts, service history, and support workflows, in one interface, deployed within your own environment. You onboard your users, set your security policies, and decide when and how Global AI can access your systems.
- Diagnostics and infrastructure visibility - Node-level diagnostics, health checks, guided troubleshooting, and visual infrastructure tools with physical location and rack-level views, simplifying the management of complex AI environments.
- Operate at any layer - Engage where it makes sense for your team: infrastructure management, managed Kubernetes (cluster lifecycle, control plane, GPU operator management), managed Slurm, or application-level operations. Advanced AI infrastructure, without needing deep expertise at every layer of the stack.
- Integrated support and agentic workflows - Support requests, operational workflows, and API integrations built into your environment, plus agentic capabilities for AI assisted monitoring, incident triage, deployment planning, and remediation recommendations.
Infrastructure Security
The moment an enterprise's or nation's data becomes exposed to the public cloud and the large language models that operate there, it cannot be recalled. It cannot be removed from the models, it becomes a permanent part of the public domain. Keeping data out of that domain has never been more critical.
- Single-tenant and isolated - Physically isolated, private compute environments. Our customers are never co-located, and their data is never connected or exposed to the public cloud.
- Data residency and privacy by design - Customer data is physically stored within the same facilities where it is used — never leaving the data center or the customer's systems, under extremely strict permissions. Full institutional control over data and workloads.
Security controls and compliance readiness. Multifactor authentication, biometric access, network segmentation, regular penetration testing and vulnerability scanning, with strict U.S. export compliance, HIPAA and SOC 2 pathways, and a FedRAMP-ready framework.
Leading Engineering
Expertise
Global AI is a team of leading engineers and technologists with decades of experience across every stage of AI and transformational technology.
- Bleeding-edge compute, engineered per customer - We design infrastructure around each customer's specific requirements — compute, networking, storage, cooling, and deployment architecture optimized per use case, in close partnership with NVIDIA.
- Best-in-class hardware ecosystem - Tier-one partners only: server buildouts with Dell and Super Micro, fit-for-purpose for every customer.
Reliable engineering. We rigorously test, monitor, and optimize infrastructure throughout deployment, identifying hardware, networking, and firmware issues before they reach customer environments. The result: reduced operational risk, faster deployment timelines, and reliable performance at scale.
Responsible by Design
Global AI believes local communities should play a central role in data center development. Across every project, we prioritize disciplined design, construction, and operations — minimizing impact on our neighbors while bringing strong economic benefits to the surrounding area.
- Revitalization over greenfield builds - We prioritize bringing underutilized industrial and commercial sites back to productive use rather than building from scratch. Our Endicott, New York site is a former IBM campus. Revitalization reduces incremental land use, accelerates deployment, and returns economic opportunity to communities with deep manufacturing and technology roots.
- Closed-loop water cooling - Our closed loop systems drastically reduce ongoing water needs: after the initial fill, water is recirculated rather than continuously consumed, typically requiring only minimal replenishment of approximately 1% per year.
- Grid and ratepayer protection - Our data centers are designed to guarantee no direct impact on residential or local business energy rates. We coordinate closely with the electric utility on long-term power planning, prioritize on-site generation using energy cells and natural gas with limited additional grid draw, and fund any required upgrades ourselves, so costs are never borne by ratepayers.
- Noise and lighting - We design our data centers to keep noise and lighting at or below local code requirements at the property line, using upfront studies, setbacks, berms, landscaping, and fully shielded lighting, and we verify performance as operations ramp. Our data center typically emit about the same level of noise as a household dishwasher.
We have real compute capacity available in 2026
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