NTS Elite APEX 4U Dual-CPU AI System
The NTS Elite APEX 4U Dual-CPU AI System is an engineer-to-order GPU computing platform from New Tech Solutions (RackMountNTS), based on the Supermicro AS-4125GS-TNRT2 platform. Designed for demanding AI, deep learning, machine learning, and high-performance computing (HPC) environments, this 4U rackmount system combines dual-processor computing architecture with configurable accelerator, memory, storage, and networking options.
Technical Architecture
Dual-CPU AMD EPYC Platform
The system is based on an AMD EPYC server platform designed to provide processing resources for data-intensive applications and accelerator-driven computing. CPU selection and supported configurations should be confirmed against the manufacturer's specifications.
GPU-Accelerated AI Computing
Designed for GPU-intensive workloads, the platform can be configured around compatible accelerators to support AI model development, deep learning, scientific computing, and parallel-processing applications. GPU models, quantities, power requirements, and software compatibility depend on the validated system configuration.
4U Rackmount Design
The 4U chassis integrates compute and accelerator resources into a rackmount form factor for data center and enterprise infrastructure. Deployment planning should consider rack space, power distribution, thermal requirements, airflow, and service access.
Memory, Storage and Networking
Configure supported memory and storage options to suit dataset sizes, model checkpoints, application requirements, and performance targets. Network adapters and interconnects should be selected according to the workload, bandwidth requirements, and compatibility with the final configuration.
Key Benefits
AI and deep learning readiness: Designed for workloads that benefit from GPU acceleration and parallel computing.
Dual-processor architecture: Provides server CPU resources for data preparation, orchestration, application processing, and accelerator workloads.
Configurable infrastructure: Evaluate supported CPU, GPU, memory, storage, and networking options around the intended application.
Rack-based deployment: Integrates into data center environments where rack space, power, cooling, and serviceability must be planned.
Workload-focused configuration: Align hardware selection with performance objectives, infrastructure limits, and procurement requirements.
Deployment planning support: RackMountNTS can coordinate configuration review and applicable staging services for the selected bill of materials.
Recommended Applications
Artificial Intelligence and Deep Learning
Evaluate compatible GPU configurations for neural network training, AI experimentation, and accelerator-intensive development workloads.
Machine Learning
Support machine learning development and training pipelines where the chosen accelerators, memory, and software stack meet application requirements.
High-Performance Computing
Consider the system for scientific research, engineering simulations, and other parallel workloads that can use supported GPU acceleration.
Data Science and Analytics
Deploy dedicated compute resources for data processing, analytical workloads, and computational experiments that require server-class CPU and GPU resources.
Computer Vision and Image Processing
Evaluate supported accelerators for image analysis, computer vision development, and other parallel-processing applications.
Enterprise GPU Infrastructure
Integrate the system into a broader compute environment, subject to the selected networking, storage, software, and orchestration requirements.
Configure Your System
Use the available Configure workbench to explore supported options. Final component availability depends on the manufacturer-approved platform configuration.
CPU: Select supported AMD EPYC processor options.
GPU accelerators: Identify compatible GPU models and quantities for the workload.
Memory: Determine capacity based on the selected processors and application requirements.
Storage: Choose supported storage devices and capacity for datasets, applications, and model checkpoints.
Networking: Review supported network adapters and bandwidth requirements.
Power and cooling: Validate the final configuration against rack power, thermal, and facility constraints.
All selected components should be checked for compatibility before an order is finalized.
RackMountNTS Engineer-to-Order Services
New Tech Solutions works with customers to develop a system configuration around their technical and operational requirements.
Workload review: Share the intended application, compute requirements, GPU targets, storage needs, and performance objectives.
Configuration planning: Review supported components, compatibility, rack requirements, networking, power, and cooling.
Quotation: Request pricing, estimated lead times, and confirmation of the proposed bill of materials.
Deployment preparation: Agree on applicable staging, firmware and driver preparation, validation, acceptance criteria, and shipment documentation.
Where included in the order, NTS can coordinate system staging and validation at its Fremont, California facility. The exact scope of these services should be confirmed in the quotation.
Government, Defense and Commercial Procurement
RackMountNTS supports commercial, federal, defense, and state and local government and education (SLED) customers. Procurement requirements can be reviewed against the applicable statement of work, delivery schedule, documentation requirements, and contract terms.
Potential purchasing routes may include SEWP V, ITES-4H, GSA Multiple Award Schedule (MAS), or applicable cooperative vehicles, subject to customer eligibility, contract scope, and current availability.
Customers requiring alternate sourcing or dual-source options should provide those requirements during the quotation process. Proposed alternatives must be evaluated for technical equivalence and project compliance.
Why Choose RackMountNTS?
RackMountNTS helps customers translate AI and HPC infrastructure requirements into a defined server configuration. Its engineer-to-order process supports component selection, compatibility review, deployment planning, and procurement coordination.
From an initial AI server to a larger compute deployment, customers can work with NTS to document the required hardware, networking, power constraints, delivery expectations, and acceptance requirements before ordering.
Request a Quote
Planning an AI, deep learning, or HPC deployment? Share your workload details, preferred CPU and GPU configuration, memory and storage requirements, networking preferences, rack power budget, and target delivery window with RackMountNTS.
Include any contract vehicle, sourcing restrictions, or acceptance documentation requirements. The NTS team can review the proposed configuration and provide a quotation with applicable pricing, lead times, and confirmed deployment services.
Configure your system or contact NTS to discuss your 4U dual-CPU AI server requirements.
Frequently Asked Questions
What workloads is this system designed for?
The system is intended for evaluation in AI, deep learning, machine learning, and HPC environments. Suitability and performance depend on the selected hardware, software, and workload.
Which GPUs can be installed?
Supported GPU models and quantities must be confirmed using the Supermicro AS-4125GS-TNRT2 specifications and the final system configuration.
Can the system be configured for a specific AI project?
Yes. The proposed configuration can be reviewed against application requirements, compatible accelerators, memory, storage, networking, and facility constraints.
Does RackMountNTS provide staging and validation?
Applicable services can be arranged according to the order. Confirm the exact scope of hardware validation, firmware and driver preparation, testing, and documentation in the quotation.
How can I obtain pricing and lead times?
Contact RackMountNTS with your proposed configuration, workload requirements, and procurement details. Pricing, availability, and lead times are confirmed for the specific quotation.
