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ComputeAI™ NML72-GB300 Rack-scale NVIDIA Blackwell Ultra AI factory for frontier model training, AI reasoning, and high-throughput inference services

Overview Organizations are moving beyond individual

Key Capabilities

AI deployments to AI factories, sovereign AI initiatives, and large-scale AI services that require greater levels

model development

of compute, memory, networking, and infrastructure efficiency. As AI workloads scale, organizations

need infrastructure that simplifies deployment and operations while enabling large-scale AI environments.

platform designed for frontier model training,

complexity and accelerate time-to-production

Direct liquid cooling for high-density NVIDIA Blackwell Ultra deployments

Rack-scale NVLink fabric enabling high-bandwidth GPU-to-GPU communication

and direct liquid cooling into a production-ready architecture, the platform helps reduce deployment

Rack-scale AI infrastructure designed to support AI factories

36 NVIDIA Grace CPUs, fifth-generation NVLink switching, rack-level networking, power infrastructure,

Sovereign AI, national AI, and hyperscale AI deployments

AI reasoning, and high-throughput inference. By integrating 72 NVIDIA Blackwell Ultra GPUs,

AI reasoning and high-throughput inference at rack scale

Penguin Solutions ComputeAI NML72-GB300 is a pre-validated, rack-scale NVIDIA GB300 NVL72

Frontier model training and foundation

Pre-validated architecture designed to accelerate deployment and reduce implementation risk

for large-scale AI deployments. Designed for hyperscale AI services, neocloud platforms, and sovereign AI initiatives, ComputeAI NML72-GB300 provides a scalable foundation for organizations deploying AI infrastructure at scale.

Rack-Scale AI Infrastructure for Strategic AI Initiatives Organizations that are deploying larger models, serving more users, and building AI capabilities require greater performance, capacity, and infrastructure efficiency than traditional AI environments can provide. ComputeAI NML72-GB300 delivers rack-scale infrastructure designed to support strategic AI initiatives from frontier model development to production-scale AI services.

Build Differentiated AI Capabilities Organizations developing foundation models require massive-scale compute resources capable of supporting distributed model training and ongoing model development. ComputeAI NML72-GB300 provides the infrastructure required for frontier model training and proprietary model development, helping organizations build differentiated AI capabilities.

Enable Sovereign AI Initiatives Governments, research organizations, and national AI programs require dedicated AI infrastructure capable of supporting strategic AI development within controlled environments. ComputeAI NML72-GB300 combines rack-scale compute, networking, and infrastructure efficiency in a pre-validated platform that helps organizations to deploy and operate sovereign AI environments with greater confidence and scalability.

Deliver AI at Massive Scale Organizations deploying AI services at scale require infrastructure capable of supporting growing volumes of AI requests while maintaining responsiveness and throughput. ComputeAI NML72-GB300 combines 72 NVIDIA Blackwell Ultra GPUs, fifth-generation NVLink switching, and rack-scale architecture to support AI reasoning and inference for large-scale deployments, helping organizations expand AI services across users, applications, and business functions.

Optimize AI Service Economics As AI adoption grows, organizations require platforms capable of serving high volumes of AI requests efficiently. By combining high GPU density, direct liquid cooling, and an integrated rack-scale infrastructure, ComputeAI NML72-GB300 supports high-throughput inference environments that help improve infrastructure utilization and optimize the delivery of AI services at scale.

Deployment-Ready Infrastructure for Large-Scale AI ComputeAI NML72-GB300 is a pre-validated rack-scale NVIDIA GB300 NVL72 platform designed to support frontier model training, AI reasoning, and high-throughput inference. By integrating compute, memory, networking, storage, power, cooling, and system management into a production-ready architecture, the platform helps organizations simplify deployment planning and accelerate time-to-production for large-scale AI infrastructure.

Validated L11 Rack-Scale Configuration Component

Validated Configuration

Platform

ComputeAI NML72-GB300 Rack-Scale AI Factory

GPU

72x NVIDIA Blackwell Ultra GB300 GPUs

GPU Memory

20.1 TB HBM3e (279 GB per GPU)

CPU

36× NVIDIA Grace CPUs

Host Memory

17.28 TB LPDDR5X

AI Fabric

5th Generation NVIDIA NVLink Rack-Scale Fabric

Network Fabric

36× NVIDIA ConnectX-8 SuperNIC Ports

DPU

18x NVIDIA BlueField-3 DPUs

Management Network

2× NVIDIA SN2201 Management Switches

Storage

276 TB NVMe Storage

OS Storage / Data Storage

34.6 TB NVMe SSD / 276.5 TB NVMe SSD

Cooling

Direct Liquid Cooling with Integrated Rack Manifold

Power

8× 33 kW Power Shelves, 48× 5.5 kW PSUs

Supported Operating System

Ubuntu 24.04 LTS (ARM64), RHEL 9.x (ARM64), Rocky Linux 9.x (ARM64)

Warranty

3-Year Standard Warranty*

* Final warranty terms per Penguin Solutions agreement

Contact Us For sales queries, please contact sales@penguinsolutions.com. To learn more about ComputeAI NML72-GB300 and other Penguin Solutions products, please visit: www.penguinsolutions.com © 2026 Penguin Solutions, Inc. All rights reserved. Penguin Solutions and ComputeAI are trademarks or registered trademarks of Penguin Solutions. All other product names, trademarks, and registered trademarks are the property of their respective owners. All company, product, and service names used in this document are for identification purposes only. Use of these names, trademarks, and brands does not imply endorsement.