Jetson Mate Cluster Standard - Carrier Board with 1 Jetson Nano & 3 Jetson Xavier NX SoMs for GPU Cluster/ Server
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Jetson Mate Cluster Standard - Carrier Board with 1 Jetson Nano & 3 Jetson Xavier NX SoMs for GPU Cluster/ Server

Seeed Studio

Overview

Jetson Mate Cluster Standard - Carrier Board is a developer kit from Seeed Studio built on the NVIDIA Jetson Nano module, rated by Seeed at 21 TOPS. Its GPU is NVIDIA Maxwell architecture with 128 NVIDIA CUDA® cores. It carries 4 GB 64-bit LPDDR4, 1600MHz 25.6 GB/s. Seeed publishes a fixed price for this configuration.

Key Features

  • Jetson Nano module rated at 21 TOPS
  • GPU: NVIDIA Maxwell architecture with 128 NVIDIA CUDA® cores
  • CPU: Quad-core ARM Cortex-A57 MPCore processo
  • Memory: 4 GB 64-bit LPDDR4, 1600MHz 25.6 GB/s
  • Storage: 16 GB eMMC 5.1
  • Camera input: 12 lanes (3x4 or 4x2) MIPI CSI-2 D-PHY 1.1 (1.5 Gb/s per pair)

Ideal For

developers prototyping on the Jetson Nano before committing to a production carrier

Specification

Details

GPU

NVIDIA Maxwell architecture with 128 NVIDIA CUDA® cores

CPU

Quad-core ARM Cortex-A57 MPCore processo

Memory

4 GB 64-bit LPDDR4, 1600MHz 25.6 GB/s

Storage

16 GB eMMC 5.1

Video Encode

250MP/sec(1x 4K @ 30 (HEVC), 2x 1080p @ 60 (HEVC), 4x 1080p @ 30 (HEVC), 4x 720p @ 60 (HEVC), 9x 720p @ 30(HEVC))

Video Decode

500MP/sec(1x 4K @ 60 (HEVC), 2x 4K @ 30 (HEVC), 4x 1080p @ 60 (HEVC), 8x 1080p @ 30 (HEVC), 9x 720p @ 60 (HEVC))

Camera

12 lanes (3x4 or 4x2) MIPI CSI-2 D-PHY 1.1 (1.5 Gb/s per pair)

Connectivity

Gigabit Ethernet, M.2 Key E

Display

HDMI 2.0 and eDP 1.4

USB

4x USB 3.0, USB 2.0 Micro-B

Others

GPIO, I2C, I2S, SPI, UART

Mechanical

69.6 mm x 45 mm, 260-pin edge connector

Specification

Details

AI Performance

21 TOPS (INT8)

GPU

NVIDIA Volta architecture with 384 NVIDIA CUDA® cores and 48 Tensor cores

Max GPU Frequency

1100 MHz

CPU

6-core NVIDIA Carmel ARM®v8.2 64-bit CPU 6 MB L2 + 4 MB L3

Max CPU Frequency

1900 MHz

Memory

8 GB 128-bit LPDDR4x @ 51.2GB/s

Storage

16 GB eMMC 5.1

Power

10 W | 15 W

PCIe

1 x1 (PCIe Gen3) + 1 x4 (PCIe Gen4), total 144 GT/s *

CSI Camera

Up to 6 cameras (24 via virtual channels)

Video Encode

2x 4K @ 30 | 6x 1080p @ 60 | 14x 1080p @ 30 (H.265/H.264)

Video Decode

2x 4K @ 60 | 4x 4K @ 30 | 12x 1080p @ 60 | 32x 1080p @ 30 (H.265) 2x 4K @ 30 | 6x 1080p @ 60 | 16x 1080p @ 30 (H.264)

Display

2 multi-mode DP 1.4/eDP 1.4/HDMI 2.0

DL Accelerator

2x NVDLA Engines

DLA Max Frequency

1100 MHz

Vision Accelerator

7-Way VLIW Vision Processor

Networking

10/100/1000 Base-T Ethernet

USB

1xUSB 3.1 (10 Gbps) | 3xUSB 2.0

Other IOs

1x SDIO / 2x SPI / 3x UART / 2x I2S / 4x I2C / 1x CAN / GPIOs

Dimensions

45 mm x 69.6 mm

Connector

60 pin SO-DIMM connector

Specification

Details

Onboard 5-Port Gigabit Switch

Microchip KSZ9896CTXC

Power Supply

90W PD Power Adapter

Feature

Utilizes the power of one Jetson Nano with 0.5 TFLOPS and three Jetson Xavier NX with 6 TFLOPS each

Feature

Pre-installed SoMs on Jetson Mate carrier board makes it very convenient to get started

Feature

All-in-one solution with a case, cooling fan, and SoMs in a compact form factor

Feature

Easy to build a GPU cluster with easy-to-follow guides provided

Feature

Onboard 5-port Gigabit switch for the SoMs to communicate with each other

Feature

One master node with three worker nodes with the ability to power on/off the worker nodes separately

Feature

GPU Cluster

Feature

1 x Jetson Mate Carrier Board

Feature

1 x Jeton Mate Cooling Fan

Feature

1 x Jetson Mate Case

Feature

1 x Jetson Nano

Feature

3 x Jetson Xavier™ NX

$1,825.00

Prices may vary. Verify on vendor site.

Quick Specs

Specification
Details
GPU
NVIDIA Volta architecture with 384 NVIDIA CUDA® cores and 48 Tensor cores
CPU
6-core NVIDIA Carmel ARM®v8.2 64-bit CPU 6 MB L2 + 4 MB L3
Memory
8 GB 128-bit LPDDR4x @ 51.2GB/s
Storage
16 GB eMMC 5.1
Video Encode
2x 4K @ 30 | 6x 1080p @ 60 | 14x 1080p @ 30 (H.265/H.264)

Tags

edge-inferencecomputer-visionroboticsmulti-gpu