Product

GPU SuperServer SYS-821GE-TNHR

Key Features

  1. 5th/4th Gen Intel®  Xeon® Scalable processor support

  2. Support for NVIDIA HGX™ H100/H200 8-GPU

  3. 32 DIMM slots Up to 8TB: 32x 256 GB DRAM Memory Type: 5600MTs ECC DDR5

  4. 8 PCIe Gen 5.0 X16 LP
    2 PCIe Gen 5.0 X16 FHHL Slots, 2 PCIe Gen 5.0 X16 FHHL Slots (optional)

  5. Flexible networking options

  6. 2 M.2 NVMe for boot drive only
    16x 2.5" Hot-swap  NVMe drive bays (12x by default, 4x optional)
    3x 2.5" Hot-swap  SATA drive bays
    Optional: 8x 2.5" Hot-swap  SATA drive bays

  7. 10 heavy duty fans with optimal fan speed control

  8. Optional: 8x 3000W (4+4) Redundant Power Supplies, Titanium Level
    6x 3000W (4+2) Redundant Power Supplies, Titanium Level

Multi GPU HPC Rack Server

Key Features

  1. Choose the desired configuration among the most powerful NVIDIA GPUs for Deep Learning and large language model (LLM) inference:

    Up to 8x NVIDIA H200 141GB

    The NVIDIA Hopper H200 generation, the powerful NVIDIA processor with the highest compute density. The NVIDIA H200 141GB is the direct successor of the H100 80GB and is based on the GH-100 processor in 5nm manufacturing with 16.896 CUDA cores, fourth-generation Tensor cores and 141 GB HBM3e memory with data transfer rates of 4.8 TB/s.
    Additional up to 4x NVIDIA H200 can be switched via a NVLINK connector with data transfer rates of 900 GB/s. The NVIDIA H200 NVL is currently the most powerful deep learning accelerator card available.

FETA40i-C System on Module

CPU: Allwinner A40i

Architecture: 4x Cortex-A7

Frequency: 1.2GHz

RAM: 1GB DDR3，2GB DDR3(optional)

ROM: 8GB eMMC

System: Linux3.10，Android7.1

FETT3-C System on Module

CPU: Allwinner T3

Architecture: Cortex-A7

Frequency: 1.2GHz

RAM: 1GB DDR3，2GB DDR3(optional)

ROM: 8GB eMMC

System: Linux3.10，Android7.1

NF5468m6 GPU Rack Server 4U Dual‑Channel AI

Key Features

  • Support for up to 10 NVIDIA GPUs

  • Multiple CPU options, including Intel Xeon and AMD EPYC

  • Up to 6 TB of memory

  • Multiple storage options, including NVMe, SATA, and SAS drives

  • High-speed networking options, including 10/25/40/100 GbE

Ideal Use Cases:

Thinkmate's Supermicro GPU servers are optimized for a wide range of AI and machine learning applications, including:

  • Deep learning and neural network training

  • Image and speech recognition

  • Natural language processing

  • Robotics and autonomous vehicles

  • Medical research and analysis

  • Financial modeling and analysis

HP - P02540-B21 - HP - P02540-B21 - Intel Xeon-Platinum 8280 (2.7GHz/28-core/205W)

Key Features

  1. HPE Nimble Storage dHCI Large Solution with HPE ProLiant DL380 Gen10
    HPE ProLiant DL380 Gen10, DL380 Gen10 Base, DL380 Gen10 Entry, DL380 Gen10 Entry SMB, DL380 Gen10 for Cohesity DataPlatform, DL380 Gen10 for SAP HANA Compute Block, DL380 Gen10 High Performance, DL380 Gen10 Network Choice, DL380 Gen10 Network Choice for SAP HANA Compute Block, DL380 Gen10 NVMe All Flash Server for Datera, DL380 Gen10 Performance, DL380 Gen10 SMB, DL380 Gen10 SMB Networking Choice, DL380 Gen10 Solution, DL388 Gen10, DL388 Gen10 Network Choice

FETT507-C System on Module

CPU: Allwinner T507

Architecture: 4×Cortex-A53

Frequency: 1.5GHz

RAM: 1GB DDR3(optional)，2GB DDR3L

ROM: 8GB eMMC

System: Linux4.9，Android10，ForlinxDesktop 18.04

FET153-S System on Module

CPU: Allwinner T153

Architecture: 4x Cortex-A7@1.6GHz+RISC-V E907@600MHz

Frequency: 1.6GHZ

RAM: 256MB DDR3，512MB DDR3，1GB DDR3

ROM: 256MB NandFlash，512MB NandFlash，8GB eMMC

System: Linux 5.10

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