- Manufacturer Part Number: R270-T64
- Number of Processors Supported: 2
- Number of Processors Installed: 2
- Processor Socket: Socket BGA-2601
- Processor Manufacturer: Marvell
- Processor Type: ThunderX_ST
- Processor Core: Octatetraconta-core (48 Core)
- Processor Speed: 2 GHz
- 2nd Processor Manufacturer: Marvell
- 2nd Processor Type: ThunderX_CP
- 2nd Processor Speed: 2 GHz
- Maximum Memory Supported: 512 GB
- Memory Technology: DDR4 SDRAM
- Memory Standard: DDR4-2133/PC4-17000
- Number of Total Memory Slots: 16
- Controller Type: Serial ATA
- Graphics Controller Manufacturer: ASPEED
- Graphics Controller Model: AST2400
- Ethernet Technology:
- 40 Gigabit Ethernet
- 10 Gigabit Ethernet
- Gigabit Ethernet
- Number of Total Expansion Bays: 12
- Number of 3.5″ Bays: 12
- Number of Total Expansion Slots: 4
- Number of PCI Express x8 Slots: 3
- Number of PCI Express x16 Slots: 1
- Total Number of USB Ports: 3
- Number of USB 3.0 Ports: 2
- Network (RJ-45): Yes
- Number of VGA Ports: 1
- Operating System Supported:
- Ubuntu 16.04.1 x64
- openSUSE Linux
- Red Hat Enterprise linux 7.3 x64
- CentOS 7.3 x64
- SUSE Linux Enterprise Server 12 SP2
- Number of Power Supplies Installed: 2
- Maximum Power Supply Wattage: 750 W
- Form Factor: Rack-mountable
- Rack Height: 2U
- Height: 3.4″
- Width: 16.9″
- Depth: 28″
- Weight (Approximate): 46.30 lb
- Package Contents:
- R270-T64 (rev. 110) Barebone System
- 1 x Quick Installation Guide
- 1 x Rail Kit
- Environmentally Friendly: Yes
- Environmental Certification:
- RoHS
- WEEE
- Limited Warranty: 3 Year
Package Contents
- R270-T64 (rev. 110) Barebone System
- 1 x Quick Installation Guide
- 1 x Rail Kit
Overview
ARM Server
ARM architecture servers, represented by Ampere and NVIDIA, rival x86 counterparts through increased core counts and energy efficiency.
Ampere Altra Max CPUs boast up to 128 cores and 128 PCIe Gen4 lanes, enhancing parallel processing suitable for cloud and edge computing.
NVIDIA Grace CPUs target HPC and AI, featuring NVLink C2C interconnect and integrated LPDDR5X memory for efficient data flow.
Both emphasize Total Cost of Ownership (TCO) benefits, optimizing energy usage and core pricing. These alternatives diversify the computing landscape, challenging traditional x86 systems across cloud, edge, HPC, and AI domains.
Applications Include:
- Cloud
- Virtualization
- Edge Computing
- Artificial Intelligence (AI)
- Databases
Reviews
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