NTS Elite APEX 4U Dual AMD EPYC 8-GPU AI & HPC Server
High-Density GPU Computing for AI, Deep Learning, and HPC
The NTS Elite APEX 4U Dual AMD EPYC 8-GPU AI & HPC Server, based on the Supermicro AS-4125GS-TNRT platform, is designed for compute-intensive workloads that benefit from high-density GPU acceleration and server-class processing. Its 4U rackmount architecture combines dual AMD EPYC processor capability with support for up to eight GPUs, subject to the platform's supported configurations.
Engineered for AI infrastructure, deep learning, scientific computing, and high-performance computing (HPC), this GPU server provides a configurable foundation for organizations building accelerated computing environments. New Tech Solutions (RackMountNTS) offers engineer-to-order configuration, helping customers align processor selection, memory, accelerators, storage, and networking with their application requirements.
Key Technical Features and Benefits
Dual AMD EPYC Processor Architecture
The dual AMD EPYC platform provides server-class CPU compute resources for demanding workloads, including data preparation, parallel processing, simulation, and GPU-accelerated applications. CPU selection and supported processor configurations should be confirmed against the chosen platform specification.
Benefit: Helps balance CPU-side processing with GPU acceleration for applications that combine data preparation, orchestration, and parallel computation.
Support for Up to Eight GPUs
The platform is designed to accommodate up to eight GPUs in supported configurations, enabling organizations to build accelerated systems for AI model training, deep learning, scientific workloads, and other GPU-intensive applications.
The supported accelerator models, GPU form factors, power requirements, interconnects, and software compatibility depend on the selected configuration and manufacturer specifications.
Benefit: Provides a high-density GPU computing platform for workloads that can distribute processing across multiple accelerators.
4U Rackmount Design
The 4U chassis integrates compute and GPU resources within a rackmount form factor for data-center and enterprise infrastructure deployments. System planning should account for rack space, airflow, power delivery, thermal requirements, and service access.
Benefit: Supports integration into rack-based AI and HPC environments while consolidating multiple accelerator resources within a single server platform.
Memory and Data-Processing Configuration
Memory capacity and DIMM configuration should be selected according to the supported processor and system specifications. NTS can help align available memory options with datasets, model sizes, simulation requirements, and application concurrency.
Benefit: Helps provision system memory for data-intensive workloads while balancing CPU resources and GPU acceleration.
Storage and High-Speed Networking
Storage devices, storage interfaces, and network adapters can be selected from the options supported by the platform. Network planning should reflect dataset movement, shared-storage access, distributed training, and communication between compute nodes.
Ethernet or InfiniBand connectivity may be considered where supported by the selected hardware and deployment design. GPU-to-GPU interconnect technologies must be verified for the chosen accelerator configuration rather than assumed.
Benefit: Helps match storage throughput and network bandwidth to the data movement and communication requirements of accelerated computing workloads.
Power, Cooling, and System Validation
Multi-GPU servers require careful evaluation of power delivery, thermal management, airflow, and component compatibility. NTS reviews the proposed configuration against applicable platform requirements before shipment.
Benefit: Helps identify configuration constraints before deployment and prepares the system for its intended rack and data-center environment.
AI, GPU Computing, and HPC Applications
The NTS Elite APEX 4U GPU server can be configured for workloads such as:
AI model training and deep learning: GPU-accelerated model development and training, subject to accelerator and software compatibility.
Machine learning and inference: Accelerated workloads requiring parallel processing and suitable GPU memory capacity.
Scientific computing: Computational research, numerical methods, and GPU-accelerated simulations.
High-performance computing (HPC): Parallel workloads that benefit from GPU acceleration and multi-core CPU processing.
Engineering and technical simulation: Supported simulation, modeling, and computational design applications.
Data-intensive computing: Processing pipelines that combine CPU resources, GPU acceleration, memory, storage, and high-speed networking.
Actual performance depends on the selected GPUs, CPU and memory configuration, interconnects, software stack, workload characteristics, and system tuning.
Engineer-to-Order Configuration by RackMountNTS
New Tech Solutions (RackmountNTS) configures the NTS Elite APEX platform around customer workload and infrastructure requirements. Use the Configure workbench to review available options for processors, memory, GPUs, storage, and networking.
NTS evaluates the proposed bill of materials (BOM), component compatibility, power and cooling requirements, and applicable firmware and driver preparation. Systems follow the applicable staging and validation process at the NTS facility in Fremont, California, before shipment.
For a configuration review, provide your target GPU count, intended applications, CPU and memory requirements, storage capacity, networking preferences, rack power budget, and expected delivery window.
Deployment Preparation and Procurement Support
NTS supports commercial, federal, defense, and state, local, and education (SLED) customers with configuration review, parts validation, system staging, and deployment documentation.
For eligible procurements, customers can discuss alignment with SEWP V, ITES-4H, GSA Multiple Award Schedule (MAS), and applicable cooperative purchasing vehicles, subject to contract scope, ordering requirements, and solicitation terms.
Commercial deployments receive the same engineering-led approach to component selection, system readiness, and handoff documentation. Fixed-platform Gold SKUs and configurable engineer-to-order systems may follow different ordering and configuration processes.
Configure Your 8-GPU AI Server
Use Configure to review available hardware options and develop a system aligned with your AI training, GPU computing, or HPC requirements. Final availability, compatibility, and pricing depend on the selected components and configuration.
Submit a Request a Quote to discuss configuration details, applicable lead times, sourcing requirements, and acceptance documentation. NTS can review your draft BOM and help identify the appropriate system options for your intended deployment.
Related AI Infrastructure and Engineering Resources
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From individual GPU servers to multi-node AI and HPC deployments, RackmountNTS helps customers coordinate platform selection, accelerator configuration, storage, networking, and deployment preparation through an engineering-led process.
