SUPERMICRO SYS-740GP-TNRT 4U Tower 4U Rackmountable Tower Dual Processor (3rd Gen Intel Xeon) Workstation with 4 PCIe GPUs, For Customized Please Contact with Newegg B2B.

The SUPERMICRO SYS-740GP-TNRT is a 4U tower workstation designed for AI and deep-learning training, with support for up to four PCIe GPUs and dual 3rd Gen Intel Xeon Scalable processors; it suits teams building GPU-accelerated systems, with CPUs, memory, and storage configured separately.

Recommended For

• AI and deep-learning teams training or developing models across multiple supported NVIDIA GPUs, with workloads that benefit from a dual-Xeon platform and room for up to four double-width cards.
• Rendering teams that need a workstation chassis designed to host several supported GPUs for parallel rendering workloads.
• HPC and scientific-computing groups running CPU- and GPU-intensive workloads that can use dual 3rd Gen Intel Xeon Scalable processors, ECC memory, and multiple PCIe GPUs.
• Organizations consolidating several supported GPU workloads in one tower system, with a need for hot-swap storage, 10GbE networking, and rack-mount compatibility.

Real-World Use Scenarios

• For a team training deep-learning models, configure the system with compatible GPUs, CPUs, memory, and storage to run multi-GPU training jobs on one workstation. Training speed and model capacity depend on the selected components and software.
• For 3D or visual-effects work, use a configured multi-GPU system to run GPU rendering jobs locally. This can bring rendering capacity into one workstation; actual render times depend on the GPUs, application, and project.
• For scientific computing or engineering teams, configure the system for GPU-accelerated simulations and other HPC workloads. Its multi-GPU and dual-processor platform can consolidate compute work on one machine, with results depending on workload scaling and the chosen components.
• For a lab or enterprise team running GPU-enabled virtual machines, use the system as a shared virtualization host after selecting compatible GPUs and virtualization software. The result can be several workloads on one host, subject to software support and resource allocation.
• For projects that need fast local working storage alongside capacity for data, configure NVMe storage for active datasets and use the hot-swap bays for supported drives. Drive types and NVMe availability depend on the selected configuration; the listed barebones system does not include storage.

Spec Summary