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service Device Model
HN-Y6238V2
platform
AMD AI Computing service device standard system platform
processor
supports AMD EPYC 7002&7003 series Unlocked processor
chipset
based on AMD EPYC 7002&7003 series processor Build
Memory Standard
supports octa-channel DIMM DDR4 3200/2933/2666/2400/2133MHz spec server memory (depends on CPU) max support 2TB
graphics card
Aspeed AST2500 BMC Controller - 1 x DisplayPort 1.1a with max. resolution up to 1920x1200 @ 60Hz
Power Supply
can Select GRPS800W-3200W Power Supply, supports N+M Redundant
NIC
2 Intel I266V 2.5G 1 x IPMI remote management port (requires BMC module to enable use) Realtek RTL8201F
Storage
supports 4 x 3.5 inch hard drive, supports 4/2.5 inch hard drive SSD SSD Drive, 3 x M.2 2280 NVME PCI Express 4.0x4
I/O port
4 x USB3.2 Gen1 port, 2 x USB2.0 port, 3 x RJ45 LAN port, 1 x 2 -hole audio port, 1 x VGA port
RAID supports
does not support RAID, requires additionally Add Separately
work Environment
operating temperature: 0°C~55°C (32°F~131°F) work Humidity: 10%-95% @40°C Non-Condensing
Chassis parameters
Color: Black, Material: SGCC Galvanized Steel, cooling Thermal: 3 x Active Fan cooling Thermal, Complete System dimensions: 850L*437.6W*176H
Ordering Information
standard
standard system platform: system Chassis +3*12038 Thermal header Removable Fan +5 Power Backplane +11 PCIE 4.0GPU baseboard +CPU cooler + Stress Tester
can Select configuration
CPU: CPU7002&7003 series can Select
memory: ECC/ server memory can Select
hard drive: supports 4 x SATA3.0 6Gbps HDD port, 3 x SFF-8643 supports expand 12 x SATA3.0 6Gbps or 3 x PCIE4.0 x4 U.2 hard drive
OEM service
provide solution customized service
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User Manual
Installation Video
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HN-Y6238V2
· balanced architecture, outstanding performance: max support 8 single-width full-height full-length GPU, significantly boosts heterogeneous computing
· rich ecosystem, system optimization: supports various mainstream AI acceleration card and leading deep learning framework, flexibly adapted to business scenarios
· flexible configuration, easy maintenance: modular redundant design, most components tool-free serviceable, quick disassembly reduces maintenance time, specifically as heavy-load graphics processing tasks design, configuration high-performance GPU, optimized for compute-intensive applications such as deep learning, 3D rendering, scientific simulation, video editing, etc.
· compute density: internal support for multiple GPU, provides high-density computing and scalability for various scenarios
· multiple connection methods: supports direct connection /switch architecture, based on different industry use scenarios, provides more suitable VRAM access methods, reduces latency and bandwidth bottleneck
· high bandwidth, low latency: expandable with multiple network adapter interfaces (10GbE, 25GbE, 40GbE, 100GbE, 200GbE, 400GbE) with supports high-bandwidth, low-latency data transfer
· application areas: widely used at people work intelligent, deep learning, Smart Education, Smart City, Smart Healthcare, high-performance computing, data analysis, Metaverse etc. should using scenarios