Note
We will include heat sinks to all SoMs when we ship out.
Generally, GPU clusters can be hosted on the cloud as well as at the edge. Even though cloud clusters can provide very high processing power, sometimes they have drawbacks such as high latency, low data security and low system reliability. So, the most ideal solution is to have an edge GPU cluster to tackle these issues. However, they are very expensive and complex to get started. So, we are excited to bring you Jetson Mate Cluster Standard which can provide a powerful edge GPU cluster solution at a much affordable price, while being very easy to get started with the provided guides. Also this solution comes in a much compact form factor when compared to other GPU clusters in the market.
Jetson Mate Cluster Standard is an all-in-one solution for your GPU cluster and server applications. It includes a Jetson Mate carrier board, a case, a cooling fan, and most of all, one Jetson Nano with 0.5 TFLOPS AI performance and three Jetson Xavier™ NX SoMs with 6 TFLOPS AI performance each.
Jetson Mate is a carrier board in which you can install all the 4 SoMs provided. In addition, you can also use your own different combinations of Jetson Nano and Jetson Xavier™ NX SoMs up to a maximum of 4 SoMs. There is an onboard 5-port Gigabit switch enabling the 4 SoMs to communicate with each other. All the 3 peripheral SoMs can be powered on or off separately. With one 90w PD power adapter and 1 ethernet cable, you can easily build your own powerful Jetson Cluster.
Note
The kit does not include a power adapter. Please use a 90W PD power adapter for the best performance.
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) |
14 lanes (3x4 or 6x2) MIPI CSI-2 | |
D-PHY 1.2 (up to 30 Gbps) | |
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 |
At Seeed, you can also design your solution all in one page where you choose the desired SBC, any compatible mission board (HATs, expansions) that you want, I/O modules, and nicely place them in the suitable enclosures/cases such as re_computer case. Rest assured, as we have tested full compatibility for all of the products listed on the page. Try it now here and save you time to find hardware compatibility!
This is the wiki page for this product, which will show you how to use the product, as well as details about the software and hardware.
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