RISC-V Edge Computing SoCs
Powered by a 64-bit RISC-V high-performance CPU
and self-developed effcient NPU, it supports full-stack
floating-point computing for generative AI acceleration.
and self-developed effcient NPU, it supports full-stack
floating-point computing for generative AI acceleration.
64-bit High-Performance RISC-V Processors
Edge computing SoC equipped with 64-bit out-of-order RISC-V CPU (processors) and self-developed high-performance NPU
Multiple Computing Acceleration Units
Multiple CV and computing acceleration units including NPU, GPU and DSP, which can be widely applied to various scenarios in computing
Graphics Processing
High-performance 3D graphics processing capability
High Computation
Processing power for deep learning is up to:
20TOPS (INT8)
10TOPS (INT16)
10FTOPS (FP16)
20TOPS (INT8)
10TOPS (INT16)
10FTOPS (FP16)
Rich Peripherals
USB 3.0/2.0, Ethernet RGMII, PCIe 3.0, I2C, HDMI, etc.
Strong Capabilities of Audio and Video Processing
Supports video decoding up to 8K@56fps and video encoding up to 8K@25fps, Support audio codecs such as ACC-LC, G.711,
G.722.1, etc.
Security and Reliability
Hardware encryption engine supports the algorithms of TEE, TRNG, ECC, RSA, ECDSA, AES, DES, HMAC, SM3/4, SHA256, CRC32, etc.
High-precision LLMs
Supports software development frameworks such as Pytorch, Tensorflow, PaddlePaddle, ONNX, etc., and high-precision LLMs
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