"asus gpu server"
ESC8000-E12 4U ASUS 서버 32x DDR5 DIMM 8x 듀얼 슬롯 GPU 사용자 정의
ASUS ESC8000-E12 4U Server: Supports 2x Intel Xeon 6 CPUs, 32x DDR5 DIMMs (Up to 4TB), 8x Dual-Slot GPUs (Up to 600W Each, H200/RTX PRO 6000), 8x 2.5" Drive Bays, and 3+1 Titanium PSUs ASUS ESC8000-E12: 4U GPU Server with Intel Xeon 6 Processors Product Overview The ASUS ESC8000-E12 is a high-density 4U GPU server powered by dual Intel Xeon 6 processors, designed to deliver exceptional performance for demanding AI training, inferencing, and high-performance computing (HPC)
사용자 지정 RS720A-E13-RS8G 2U 랙 ASUS 서버 센터 듀얼 AMD EPYC 9005
ASUS RS720A-E13-RS8G – 2U Dual AMD EPYC 9005 GPU-Optimized Rack Server The ASUS RS720A-E13-RS8G is a high-performance, GPU-optimized 2U rack server built for the AMD EPYC 9005 (Turin) platform. Engineered for modern data centers, it balances exceptional compute power, massive scalability, and efficient thermal design to handle demanding workloads like AI inference, virtualization, databases, and high-performance computing (HPC). Key Specifications Form Factor: 2U rackmount,
컴퓨팅 대용량 저장장치 ASUS 서버 RS521A-E12-RS12U CPU 24x DDR5 DIMM
ASUS RS521A-E12-RS12U 2U Server: Supports 1x AMD EPYC 9005 CPU, 24x DDR5 DIMMs (Up to 3TB), 12x Front NVMe, 2x Rear SATA, 2x M.2, 5x PCIe 5.0 Slots, and OCP 3.0 ASUS RS521A-E12-RS12U: 2U Single-Socket Server with AMD EPYC 9005 Processor and 12 NVMe Product Overview The ASUS RS521A-E12-RS12U is a high-performance 2U single-socket rack server designed for storage-intensive and high-performance computing workloads. Powered by AMD EPYC 9005 Series processors, this server delivers
2U ASUS 서버 RS720A-E13-RS24U 2xAMD EPYC 9005 CPU 24xDDR5 DIMM 3x400W GPU
ASUS RS720A-E13-RS24U 2U Server: Supports 2x AMD EPYC 9005 CPUs (384 Cores), 24x DDR5 DIMMs (Up to 3TB), 24x Front NVMe, 8x PCIe 5.0 Slots, 2x OCP 3.0, and 3x 400W GPUs ASUS RS720A-E13-RS24U: 2U Dual-Socket Server for HPC and AI Workloads Product Overview The ASUS RS720A-E13-RS24U is a high-performance 2U dual-socket rack server designed for demanding enterprise workloads, including high-performance computing (HPC), artificial intelligence and machine learning (AI/ML), data
