Rack-Scale AI Factory
NVIDIA GB300 NVL72
Rack Scale Blackwell Ultra Production AI Factory
72 Blackwell Ultra GPUs. 36 Grace CPUs. One liquid-cooled, rack-scale platform built for the new generation of reasoning and integrated by ADS around the network, storage, power, cooling, and deployment plan required to make it useful.
With fifth-generation NVLink, ConnectX-8 800G networking, high-speed memory, and rack-level liquid cooling. ADS helps turn that extraordinary hardware into an infrastructure platform your team can actually deploy and operate.
Request a Consultation
Don’t Buy a Rack. Deploy an AI Factory.
The GB300 NVL72 is an extraordinary compute platform, but business value comes from the complete environment around it. ADS helps remove the integration burden that sits between ordering hardware and putting it into production.
ARCHITECT
Designed Around Your Workload
We start with the models, data flows, scale targets, facility constraints, and operational requirements—then size the surrounding network, storage, power, and cooling accordingly.
INTEGRATE
Best-of-Breed Without the Finger-Pointing
ADS coordinates the rack with the fabric, storage, management, and facility infrastructure so you are not left stitching together multiple technology domains on your own.
VALIDATE
Reduce Day-One Surprises
We focus on compatibility, configuration, connectivity, and readiness before production deployment—reducing the risk that expensive GPU infrastructure sits idle while teams troubleshoot issues.
SUPPORT
One Vendor Across the Stack
When a problem crosses compute, network, storage, or facility boundaries, ADS provides a single integration point to help coordinate resolution instead of making your team arbitrate between vendors.
ADS value proposition: purpose-built architecture, integrated delivery, deployment coordination, and lifecycle support around one of the most demanding AI platforms ever brought into the data center.
✓
Facility Readiness
Plan rack power, CDU strategy, placement, network connectivity, and deployment requirements before hardware arrives.
✓
800G Fabric Integration
Integrate the rack with the appropriate Spectrum-X Ethernet or Quantum-X800 InfiniBand architecture for the target workload.
✓
AI-Ready Storage
Pair rack-scale GPU compute with a data platform designed for ingest, training data, checkpoints, model data, and shared access.
✓
Deployment & Lifecycle
Coordinate the infrastructure stack as a system from planning and installation through production operations and future expansion.
The ADS Difference
Buying the rack is the easy part. Making the AI factory work is the hard part.
GB300 NVL72 changes the scale of the infrastructure problem. ADS brings compute, fabric, storage, power, cooling, and deployment together as one engineered system—so your team can focus on models and applications instead of integration firefighting.
One architecture. One integration partner.
From facility planning through rack integration, validation, deployment, and ongoing support.
Applied Data Systems
©2026 Applied Data Systems
Why ADS
Why Buy GB300 NVL72 from ADS?
Anyone can quote a rack. ADS helps turn a GB300 NVL72 into a production-ready AI platform by aligning compute, networking, storage, power, cooling, deployment, and lifecycle support around your actual workload.
Don’t just buy a rack. Deploy an AI factory.
ADS reduces time to production and integration risk by delivering a validated architecture built around your models, data flows, facility constraints, and scale targets.
Workload-First Architecture
We help size the full environment around your use case: reasoning, training, inference, or HPC, so the GB300 rack is supported by the right fabric, storage tier, and deployment model.
Full-Stack Integration
A GB300 NVL72 is only one part of the system. ADS integrates compute, high-speed networking, storage, and supporting infrastructure so the platform behaves like one engineered solution.
Storage Designed for AI
We match the rack with the right storage architecture, BM Storage Scale, BeeGFS, VDURA, or custom Ceph, based on checkpointing, model data access, throughput, and data services needs.
Facility & Deployment Readiness
Rack-scale AI requires planning beyond the BOM. ADS helps address power, cooling, CDU strategy, network uplinks, placement, and day-one implementation readiness before equipment arrives.
Validation Before Production
We reduce deployment risk through burn-in, interoperability testing, and performance validation so customers move toward production with more confidence and fewer surprises.
One Accountable Partner
Instead of coordinating multiple vendors independently, customers get a partner focused on the end-to-end result—from design and integration through deployment and ongoing support.
XN15-CB0-LA01 Compute Tray
Dense Compute, Memory, and 800G Networking
Each 1U compute tray is a tightly integrated GB300 building block designed for high-bandwidth communication inside and outside the rack.
Compute & Memory
Superchips
2 × NVIDIA GB300 Grace Blackwell Ultra Superchips
GPU Memory
4 × 279 GB HBM3E
CPU Memory
2 × 480 GB LPDDR5X
Local Storage
8 × E1.S Gen5 NVMe drive bays + M.2 PCIe 5.0
Network, I/O & Cooling
Networking
4 × NVIDIA ConnectX-8 800 Gb/s OSFP ports
DPU
1 × NVIDIA BlueField-3 DPU
NVLink
4 × NVIDIA NVLink Switch connectors
Cooling
8 fans + 2 Superchip cold-plate loops
Why GB300 NVL72
Designed for the Age of AI Reasoning
The attached platform brief emphasizes reasoning-model inference, fast-access memory, HBM bandwidth, and high-speed networking as the primary advantages of the GB300 NVL72 architecture.
20 TB
HBM3E GPU Memory
Up to 20 TB of HBM3E GPU memory across the rack, with up to 576 TB/s aggregate HBM bandwidth.
17 TB
Grace CPU Memory
Up to 17 TB LPDDR5X CPU memory, expanding the fast-access memory pool available to demanding AI workloads.
50×
Reasoning Inference Output
The source datasheet states up to 50× higher reasoning-model inference output versus NVIDIA Hopper when paired with Quantum-X800 or Spectrum-X and ConnectX-8.
Ready to Put GB300 NVL72 to Work?
Don’t start with a parts list. Start with the workload. Bring ADS your model requirements, scale targets, storage profile, network strategy, and facility constraints—we’ll help turn them into a GB300 NVL72 AI factory designed for production.
Request a Consultation
DLB2-CB3 Rack Architecture
Built as a System, Not a Collection of Servers
The rack combines 18 liquid-cooled compute trays with nine NVIDIA NVLink Switch Trays, six 33 kW power shelves, management switching, a 54 V DC bus bar, and support for either an in-rack or in-row CDU.
Each compute tray integrates two GB300 Grace Blackwell Ultra Superchips, high-speed local NVMe, four ConnectX-8 800 Gb/s OSFP ports, and a BlueField-3 DPU.
The result is a rack-scale architecture designed around the memory, interconnect, networking, power, and cooling demands of reasoning-scale AI.
Management
2 OOB management switches + optional OS switch
Power
3 × 1U 33 kW power shelves
Compute
10 × 1U XN15-CB0-LA01 compute trays
NVLink Fabric
9 × 1U NVLink Switch Trays, 144 NVLink ports per tray
Compute
8 × 1U XN15-CB0-LA01 compute trays
Power
3 × 1U 33 kW power shelves
Cooling
Compatible with in-rack or in-row CDU