AIO-3399C (AI Version)

T-Chip

The AIO-3399C (AI Version) is based on a Rockchip RK3399 SoC and a quad-core Mali-T860 GPU, and includes a modular neural deep-learning accelerator NPU with no external buffer memory needed. It has strong peak power and super high performance, supports Pytorch, Caffe deep-learning framework, and provides complete and user-friendly model training tools and web training model cases, enabling it to be rapidly used for mobile edge computing, smart home devices, facial recognition, AI server, etc.



📅 Added on January 25, 2019
🔗 Official website
🛠️ Edit source (see our guide)

Hardware Specifications (Start Comparison)

Manufacturer T-Chip
SoC Rockchip RK3399
CPU 2× ARM Cortex-A72 @ 2.0Ghz
4× ARM Cortex-A53 @ 1.5Ghz
GPU Mali-T860 MP4 600Mhz
RAM 4.0 GiB LPDDR4
eMMC 1× soldered
SD 1× SD slot bootable
USB
1× host port
1x USB-OTG
Ethernet
1× 1 Gbps
Wi-Fi On-board Wi-Fi without external antenna
2.4Ghz b/g/n
5Ghz a/n/ac
Bluetooth On-board Bluetooth (4.2)
  • Audio support
Video interfaces
1× HDMI
Display I/O -
Audio
1× audio output
1× line-in
1× microphone-in
Camera I/O 2× camera interfaces
GPIOs -
Pin Header none / custom
Embedded I/O -
Generic Peripherals -

Physical Aspects

Power Requirements 12.0 V DC 2.0A
Battery -
Dimensions 126mm x 91mm
Form Factor Unknown
Mounting holes No

Software

Linux Yes
Android -
Windows -

Certifications and conformity

(No information available)

Datasheets

No links were added yet.

Availability

The reference price is (US) $139.0
For purchase information, please refer to the official website .

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