SYS-820GH-TNR2
8U AI training platform with 8 Gaudi®2 accelerators
- Dual Intel® Xeon® 3rd Gen Scalable Processors (Ice Lake) TDP up to 270W
- Intel® C621A Chipset
- 32x DIMM slots, up to 8TB Registered ECC DDR4 3200MHz SDRAM
- 2x PCIe 4.0 x16 FHFL slot and 2x PCIe 4.0 x8 FHFL slot
- 6x 400GbE QSFP-DD for scale-out and 1x 1GbE BaseT (dedicated IPMI port)
- 4x 2.5”NVMe Hot-Swap Drive Bays
- Up to 16x 2.5" SAS or SATA Hot-Swap Drive Bays (Additional SAOC is required)
- Up to 8x 2.5" SATA Hot-Swap Drive Bays
- 12x Removable Heavy-Duty FANs (Includes 2x Dummy PSU FAN)
- 6x 3000W(54V+12V) Redundant Power Supplies, Titanium Level
Key Applications
- Computer Vision
- Natural Language Processing
- Recommendation
- Purpose Built for AI/Deep Learning Training
Product SKUs | SuperServer SYS-820GH-TNR2 |
Motherboard | Super X12DPG-OA6-GD2 |
Processor | |
CPU | Dual Socket P+ (LG-4189) 3rd Gen Intel® Xeon® Scalable Processors |
Core Count | Up to 40C/80T; Up to 60MB Cache per CPU |
Note | Supports up to 270W TDP CPUs (Air Cooled) |
System Memory | |
Memory | Memory Capacity: 32 DIMM slots Up to 8TB: 32x 256 GB DRAM Memory Type: 3200/2933/2666MHz ECC DDR4 RDIMM/LRDIMM |
Memory Voltage | 1.2 V |
Error Detection | ECC |
On-Board Devices | |
Chipset | Intel® C621A |
Network Connectivity | 6x 400GbE QSFP-DD1x 1GbE BaseT Note: IPMI LAN port on CPU processor tray, and QSFP-DD ports are for AI Scale-out purpose |
Input / Output | |
USB | 2 USB 3.0 port(s) (2 USB 3.0) |
Video | 1 VGA port(s) |
System BIOS | |
BIOS Type | AMI 32MB SPI Flash EEPROM |
Management | |
Power Configurations | ACPI Power Management Power-on mode for AC power recovery |
Security | |
Hardware | Trusted Platform Module (TPM) 2.0 |
PC Health Monitoring | |
CPU | 7+1 Phase-switching voltage regulator Monitors for CPU Cores, Chipset Voltages, Memory |
FAN | Fans with tachometer monitoring Pulse Width Modulated (PWM) fan connectors Status monitor for speed control |
Temperature | Monitoring for CPU and chassis environment Thermal Control for fan connectors |
Chassis | |
Form Factor | 8U Rackmount |
Model | CSE-GP802TS-R000NP |
Dimensions and Weight | |
Height | 14" (356mm) |
Width | 17.6" (447mm) |
Depth | 31.5" (800mm) |
Package | 26.8" (H) x 40" (W) x 55.2" (D) |
Weight | Gross Weight: 282 lbs (128 kg) |
Available Color | Silver |
Front Panel | |
Buttons | Power On/Off buttonReset button |
LEDs | HDD Information LED Information LED Power On LED PSU Failed LED |
Expansion Slots | |
PCI-Express (PCIe) | 2 PCIe 4.0 x16 FHFL slot(s)2 PCIe 4.0 x8 FHFL slot(s) |
Drive Bays / Storage | |
Hot-swap | 20x 2.5" hot-swap NVMe/SATA/SAS drive bays (4x 2.5" NVMe dedicated; Up to 8x 2.5" SATA dedicated or Up to 16x 2.5" SAS/SATA supported by additional SAOC) |
M.2 | 2 M.2 NVMe M-Key, 2280/22110 |
System Cooling | |
Fans | 12 Removable Heavy-Duty 84x203.5x82.4mm Fan(s) |
Power Supply | 18000W Redundant Titanium Level power supplies |
Certification | Titanium Level |
Operating Environment | |
Environmental Spec. | Operating Temperature: 10°C ~ 35°C (50°F ~ 95°F) Non-operating Temperature: -30°C to 60°C (-22°F to 140°F) Operating Relative Humidity: 8% to 80% (non-condensing) Non-operating Relative Humidity: 8% to 90% (non-condensing) |
Building on the success of the original Supermicro Gaudi AI training system, the Gaudi2 AI Training Server prioritizes two key real-world considerations: integrating multi AI training system to analyze diverse AI models faster, while simultaneously multiple scalability function and price advantages.
Key Features
- GPU: 8 Gaudi2 HL-225H mezzanine cards
- CPU: Dual 3rd Gen Intel® Xeon® Scalable processors
- Memory: 32 DIMMs - up to 8TB registered ECC DDR4-3200MHz SDRAM
- Drives: up to 24 hot-swappable hard drives (SATA/NVMe/SAS)
- Power: 6x 3000W High efficiency (54V+12V)
- Networking: 24x 100GbE (48 x 56Gb) PAM4 SerDes Links by 6 QSFP-DDs
- Expansion Slots: 2x PCI Gen4 switches
- Workloads: AI Training and Inferencing
GAUDI2 PROCESSOR FOR DEEP LEARNING TRAINING AND INFERENCE WORKLOADS.
The Gaudi2 processor significantly increases training and inference performance, building on the high-efficiency, first-generation Gaudi architecture that delivers up to 40% better price performance in the AWS cloud with Amazon EC2 DL1 instances and on-premises with the Supermicro Gaudi®2 AI Training Server.
Gaudi2 delivers training and inference performance on a whole new level with a leap from the first-gen Gaudi 16nm process technology to Gaudi2’s 7nm. It increases the number of AI-customized Tensor Processor Cores–from 8 to 24, adds support for FP8 and integrates a media processing engine for processing compressed media for offloading the host subsystem. Gaudi2’s in-package memory has tripled to 96 GB of HBM2e at 2.45 Terabytes-per-second bandwidth