Aetina Keeps its Edge AI Innovations Coming
July 19, 2023
News
New Taipei City, Taiwan. A new embedded box PC from Aetina leverages NVIDIA for an edge AI platform utilizing the Jetson AGX Orin, Orin NX, and Orin Nano system-on-modules (SoMs). A designed heat sink provides maximum cooling in the fanless compact enclosure as it also reduces maintenance once deployed. The solutions operate within a temperature of -25°C to +55°C delivery AI performance across many verticals.
AIE-CO21/31 | AIE-CN31/41
Model Number |
AIE-CO21 / AIE-CO31 |
AIE-CN31 / AIE-CN41 |
Module Compatibility |
NVIDIA Jetson Orin Nano 4/8GB |
NVIDIA Jetson Orin NX 8/16GB |
AI Performance |
20/40 TOPS |
70/100 TOPS |
GPU |
512-core NVIDIA Ampere architecture GPU with 16 Tensor Cores |
1024-core NVIDIA Ampere architecture GPU with 32 Tensor Cores |
CPU |
6-core NVIDIA Arm® Cortex®-A78AE 1.5MB L2 + 4MB L3 |
6-core NVIDIA Arm® Cortex®-A78AE 1.5MB L2 + 4MB L3 |
Memory |
4GB 64-bit LPDDR5 34 GB/s |
8GB 128-bit LPDDR5 102.4 GB/s |
Storage |
1 x M.2 M-Key 2242 (128GB built-in) |
|
Display |
1 x HDMI 2.0 Type A |
|
RTC |
With super capacitor, battery (optional) |
|
LAN |
1 x RJ-45 GbE port |
|
USB |
2 x USB 3.2 Gen2 Type A |
|
I/O Interfaces |
5 x GPIO, 1 x UART1, 1 x I2C, 1 x CAN (Isolation) |
|
Expansion |
1 x M.2 E-Key 2230 (support PCIe x1 Gen3, USB 2.0) |
1 x M.2 E-Key 2230 (support PCIe x1 Gen4, USB 2.0) |
AIE-PO22/32 | AIE-PN32/42
Model Number |
AIE-PO22 / AIE-PO32 |
AIE-PN32 / AIE-PN42 |
Module Compatibility |
NVIDIA Jetson Orin Nano 4/8GB |
NVIDIA Jetson Orin NX 8/16GB |
AI Performance |
20/40 TOPS |
70/100 TOPS |
GPU |
512-core NVIDIA Ampere architecture GPU with 16 Tensor Cores |
1024-core NVIDIA Ampere architecture GPU with 32 Tensor Cores |
CPU |
6-core NVIDIA Arm® Cortex®-A78AE 1.5MB L2 + 4MB L3 |
6-core NVIDIA Arm® Cortex®-A78AE 1.5MB L2 + 4MB L3 |
Memory |
4GB 64-bit LPDDR5 34 GB/s |
8GB 128-bit LPDDR5 102.4 GB/s |
Storage |
1 x M.2 M-Key 2242 (128GB built-in) |
|
Display |
1 x HDMI 2.0 Type A |
|
RTC |
With super capacitor, battery (optional) |
|
LAN |
2 x RJ-45 GbE ports |
|
USB |
2 x USB 3.2 Gen2 Type A |
|
I/O Interfaces |
5 x GPIO, 1 x UART, 1 x I2C, 1 x RS-422/485, 1 x CAN (Isolation) |
|
Expansion |
1 x M.2 B-Key 3042/3052 |
1 x M.2 B-Key 3042/3052 |
AIE-PX11/12/21/22
Model Number |
AIE-PX11 / AIE-PX12 |
AIE-PX21 / AIE-PX22 |
Module Compatibility |
NVIDIA Jetson AGX ORIN 32GB |
NVIDIA Jetson AGX ORIN 64GB |
AI Performance |
200 TOPS |
275 TOPS |
GPU |
1792-core NVIDIA Ampere GPU with 56 Tensor Cores |
2048-core NVIDIA Ampere GPU with 64 Tensor Cores |
CPU |
8-core NVIDIA Arm® Cortex A78AE v8.2 64-bit CPU 2MB L2 + 4MB L3 |
12-core NVIDIA Arm® Cortex A78AE v8.2 64-bit CPU 3MB L2 + 6MB L3 |
Memory |
32 GB 256-bit LPDDR5 204.8 GB/s |
64GB 256-bit LPDDR5 204.8 GB/s |
Storage |
64GB eMMC 5.1 |
|
Display |
1 x HDMI 2.0 Type A |
|
LAN |
1 x RJ-45 GbE port, 1 x RJ-45 10GbE port |
|
PoE Interface |
2/4 x RJ-45 GbE PSE |
2/4 x RJ-45 GbE PSE |
USB |
2 x USB 3.2 Gen1 Type A, 1 x USB 2.0 (DB-15), 1 x OTG Type C, 1 x USB 3.2 Gen2 Type C |
|
I/O Interfaces |
2 x I2C, 1 x SPI, 5 x GPIO |
|
Expansion |
1 x M.2 B-Key 3042/3052 (LTE/4G/5G, USB 3.2/USB 2.0) |
AIE-PX13/23
Model Number |
AIE-PX13 |
AIE-PX23 |
Module Compatibility |
NVIDIA Jetson AGX Orin 32GB |
NVIDIA Jetson AGX Orin 64GB |
AI Performance |
200 TOPS |
275 TOPS |
GPU |
1792-core NVIDIA Ampere GPU with 56 Tensor Cores |
2048-core NVIDIA Ampere GPU with 64 Tensor Cores |
CPU |
8-core NVIDIA Arm® Cortex A78AE v8.2 64-bit CPU 2MB L2 + 4MB L3 |
12-core NVIDIA Arm® Cortex A78AE v8.2 64-bit CPU 3MB L2 + 6MB L3 |
Memory |
32 GB 256-bit LPDDR5 204.8 GB/s |
64GB 256-bit LPDDR5 204.8 GB/s |
Storage |
64GB eMMC 5.1 |
|
Display |
1 x HDMI 2.0 Type A |
|
Audio |
Line-out/Line-in/Mic (optional with daughter board) |
|
LAN |
1 x RJ-45 GbE port, 1 x RJ-45 10GbE port |
|
USB |
2 x USB 3.2 Gen1 Type A, 1 x USB 2.0 (DB-15), 1 x OTG Type C, 1 x USB 3.2 Gen2 Type C |
|
I/O Interfaces |
2 x I2C, 1 x SPI, 5 x GPIO |
|
Expansion |
1 x M.2 B-Key 3042/3052 (LTE/4G/5G, USB 3.2/USB 2.0) |
For more inforamtion, visit aetina.com.