Visualization, Rendering & Deep Learning
- Up to 8 x PCI-e GPUs; Supported GPU: NVIDIA A100, A40, A30, A16, A2 and RTX A6000, RTX A5500, RTX A5000, RTX A4500, RTX A4000
- Dual AMD EPYC™ 7002 Series Processors
- 8TB Registered ECC DDR4 3200MHz SDRAM in 32 DIMMs
- 8 PCI-E 4.0 x16 + 3 PCI-E 4.0 x8 slots (Option: 10 PCI-E 4.0 x16 slots; depends on NVMe devices)
- Up to 24 Hot-swap 2.5″ drive bays; 4x 2.5″ SATA drives and 4x 2.5″ NVMe drives supported (optional)
- 2 GbE LAN ports (rear)
- 2000W (2+2) Redundant Power Supplies
- 3 Years Manufacturer’s Warranty
- Optional: Ubuntu Linux OS install
- Optional: Dihuni AI Stack Pre-loaded (Packages include NVIDIA Cuda Toolkit, NVIDIA DIGITS, NVIDIA TensorRT, Keras and NVCaffe, Caffe2, Microsoft Cognitive Toolkit (CNTK), MXNet, PyTorch, TensorFlow, Theano, Torch and others as needed