Supermicro 4U Tower GPU Server Barebone, 4th Gen Intel® Xeon® Scalable processor support,including Xeon® CPU MAX Series

The Supermicro SYS-741GE-TNR is a 4U tower/rackmount GPU server barebone for organizations building AI training, deep-learning, or HPC systems, with support for up to two 4th Gen Intel Xeon Scalable processors and up to four GPU cards.

Recommended For

• AI and deep-learning teams building a local training or inference server around multiple supported PCIe GPUs, rather than a single-GPU desktop.
• HPC and scientific-computing groups running CPU/GPU workloads that benefit from a dual-Xeon platform; Supermicro’s system has published SPEC accelerator and HPC benchmark results.
• Rendering, animation, and visualization teams that need a stationary workstation/server configured with several supported GPUs for local production workloads.
• IT and research teams assembling a customized server with ECC memory, hot-swap storage, and remote server-management features for sustained lab or infrastructure workloads.

Real-World Use Scenarios

• A research team training or fine-tuning deep-learning models can configure the system with supported GPUs and use it as a local compute server; the barebone itself does not include GPUs, CPUs, memory, or storage.
• An HPC group running parallel scientific workloads can use a configured system for compute jobs; a published SPEC ACCEL result confirms that this model was tested on an accelerator benchmark, but does not predict performance for every workload.
• A 3D animation or visualization team can use a GPU-equipped configuration to render scenes and work with graphics-heavy projects on a shared workstation platform; render times depend on the selected GPUs and software.
• An organization delivering virtual desktops or cloud gaming can configure the server to host GPU-accelerated sessions; the number and responsiveness of sessions depend on the GPUs, software, and workload.
• A media team handling video workloads can use a configured system for GPU-assisted streaming or processing; the actual throughput depends on the installed accelerators and the video software being used.

Spec Summary