Standard 19" Rack Form Factor

AI RackWorkstations

Data center-ready AI in standard 19" rack form factor. From single-GPU inference nodes to 4-GPU training powerhouses. Built for server rooms, managed remotely, deployed by Petronella Technology Group.

CMMC-RP Certified Team|BBB A+ Since 2002|2,500+ Clients
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2U rackmount AI workstation with NVIDIA RTX PRO GPUs
NVIDIA MGX rackmount server exploded view

When You Need Rack-Mounted AI

Rackmount form factors are the right choice when AI needs to be infrastructure, not a desktop peripheral.

Multi-User Access

Serve AI to entire teams through API endpoints. Centralized GPU resources that multiple departments can share.

24/7 Operation

Built for continuous operation with redundant cooling, hot-swap drives, and IPMI out-of-band management.

Remote Management

IPMI/BMC enables full remote access including power control, BIOS configuration, and KVM over IP.

Scalable Infrastructure

Start with one node, grow to a cluster. Standard rack form factor makes it easy to add capacity.

AI Rack Workstation Lineup

Five configurations spanning inference to training, all in standard 19" rackmount form factor with NVIDIA RTX PRO 6000 Blackwell GPUs.

Inference Single & Dual-GPU Rack Systems
96 GB VRAMRackmount

Ryzen 9 AI Inference 96B Rack

Entry-level rack inference node

CPUAMD Ryzen 9 9950X
GPU1x RTX PRO 6000 96GB
VRAM96 GB GDDR7 ECC
Call for Pricing: (919) 348-4912
96 GB VRAMRackmount

Core Ultra 9 AI Inference 96B Rack

Intel platform rack inference node

CPUIntel Core Ultra 9 285K
GPU1x RTX PRO 6000 96GB
VRAM96 GB GDDR7 ECC
Call for Pricing: (919) 348-4912
192 GB VRAMRackmount

Threadripper 9000 AI Inference 192B Rack

Dual-GPU rack for large model inference

CPUAMD Threadripper 9960X
GPU2x RTX PRO 6000 96GB
VRAM192 GB GDDR7 ECC
Call for Pricing: (919) 348-4912
Training Quad-GPU Rack Systems
Maximum Performance
384 GB VRAMRackmount

Threadripper 9000 AI Training 384B Rack

Maximum VRAM in rack form factor for large-scale training

CPUAMD Threadripper 9970X
GPU4x RTX PRO 6000 Blackwell 96GB
Total VRAM384 GB GDDR7 ECC
AI Performance4x 4,000 TOPS
Call for Pricing: (919) 348-4912
384 GB VRAMRackmount

Xeon AI Training Rack Workstation

Intel enterprise platform with 4-GPU training in rack form factor

CPUIntel Xeon W7-3565X
GPU4x RTX PRO 6000 Blackwell 96GB
Total VRAM384 GB GDDR7 ECC
AI Performance4x 4,000 TOPS
Call for Pricing: (919) 348-4912

Turnkey Rack Deployment

Petronella Technology Group handles every step from site assessment to production deployment.

1

Site Assessment

We evaluate your server room for rack space, power capacity, cooling airflow, and network connectivity.

2

Power Planning

Dedicated circuit provisioning, PDU selection, and UPS sizing for reliable power under full GPU load.

3

Rack Installation

Professional rack mounting with proper rail kits, cable management, and airflow optimization.

4

Network Configuration

VLAN setup, firewall rules, VPN access, and 10GbE or 25GbE network connectivity.

5

Software Stack

OS installation, NVIDIA drivers, CUDA toolkit, inference frameworks (vLLM, TensorRT), and monitoring.

6

Cooling Assessment

BTU calculations, hot/cold aisle planning, and supplemental cooling recommendations.

Rack Systems at a Glance

SystemCPUGPUsVRAMBest For
Ryzen 9 96B RackRyzen 9 9950X1x RTX PRO 600096 GBBudget inference
Core Ultra 9 96B RackCore Ultra 9 285K1x RTX PRO 600096 GBIntel ecosystem
TR 9000 192B RackThreadripper 9960X2x RTX PRO 6000192 GBLarge model inference
TR 9000 384B RackThreadripper 9970X4x RTX PRO 6000384 GBAI training
Xeon Training RackXeon W7-3565X4x RTX PRO 6000384 GBEnterprise training

Frequently Asked Questions

What rack space do these AI workstations require?
Our rackmount AI workstations fit standard 19-inch server racks. Single-GPU inference systems typically occupy 2U-3U of rack space, while 4-GPU training systems require 4U. We provide detailed rack planning as part of our deployment service.
What power and cooling requirements should I plan for?
Single-GPU systems need a standard 15A/120V circuit. Dual-GPU (192GB) systems require a 20A/120V circuit. Quad-GPU (384GB) systems need a dedicated 20A/240V circuit. All systems use front-to-back airflow. Call (919) 348-4912 for a site assessment.
Can I manage these systems remotely?
Yes. All rackmount systems include IPMI/BMC for out-of-band management. This provides remote power cycling, BIOS access, console redirection, and hardware health monitoring independent of the OS. We also configure SSH, VPN access, and GPU monitoring dashboards.
Do you handle rack installation and deployment?
Absolutely. Petronella Technology Group provides turnkey deployment including site assessment, power planning, rack mounting, cable management, network configuration, OS installation, and AI framework deployment. We are based in Raleigh, NC and ship pre-configured systems nationwide.
Can I mix inference and training nodes in the same rack?
Yes. A common configuration is 2-3 inference nodes (96GB each) for serving production models alongside a single 384GB training node for fine-tuning. We design rack layouts that optimize power distribution and cooling for mixed GPU workloads.
How loud are rackmount AI workstations?
Rackmount systems use high-RPM fans optimized for airflow rather than silence. Typical noise levels range from 50-70 dBA depending on GPU load. They should be installed in a dedicated server room. If noise is a concern, consider our desktop tower configurations instead.

Explore Related Hardware

AI Training Workstations

AI Inference Workstations

NVIDIA RTX PRO Blackwell GPUs

All AI Hardware

AI That Fits Your Rack

From single-node inference to multi-GPU training clusters. Our team handles site assessment, installation, and ongoing support.

Call Now: (919) 348-4912 Schedule a Call