AI Chip
From your model to a product.
Bring our core NPU IP into a product. SeM-V1 is our first chip, designed for Voice functionality.

SeM-V1
Our first Voice AI Chip, built around Semunite’s core NPU IP.
SeM-V1 is being developed as an Always-On Voice Agent AI Chip product line, separate from the SUAI test chip.
- Keyword Spotting (KWS)
- Wake-Word Detection
- Speech-to-Text (STT)

SeM-V1 chip architecture
The full architecture of SeM-V1, our first Voice chip. Four NPU cores connect to a RISC-V Data Core, shared L2 SRAM and peripherals. The data path inside each NPU core is shown separately below.
Explore SeM-V1 architecture and NPU PPA
Explore the SeM-V1 NPU core
SeM-V1 configuration and NPU specifications
Compute and integration
- NPU cluster
- 4 NPU cores
- PE array / core
- 32 × 6 INT8
- MAC throughput
- 192 MAC/cycle/core · 768 MAC/cycle
- Accumulation
- 32-bit
- SRAM / core
- Input 1 KB · Weight 4 KB · Output 1 KB
- DMA
- 3 DMA/core · Input / Weight / Output
- Data Core
- RISC-V CV32E40P + FPU
- Shared L2 SRAM
- 1 MB
- Peak performance
- ≈ 0.31 TOPS · INT8 · 200 MHz
- Interfaces
- QSPI, UART, I2C, I2S/PDM, SDIO, GPIO, JTAG
- Process / I/O
- Samsung 28nm · 3.3 V I/O
Peak performance is specified at INT8 and 200 MHz. The QuartzNet workload throughput is shown separately.
NPU PPA · QuartzNet
- Throughput
- 49 GOPS (INT8)
- Power
- 15.4 mW
- Efficiency
- 3.2 TOPS/W · 0.9 V
- Efficiency (est.)
- 5.0 TOPS/W · Estimated · 0.7 V
- Area · 4 cores
- 0.43 mm²
- Conditions
- INT8 · 400 MHz / 0.9 V
Synopsys PrimeTime PX results for the NPU block during QuartzNet compute, INT8, 400 MHz / 0.9 V. Area is the sum of four P&R cores including SRAM and DFT. Efficiency at 0.7 V is estimated.
SeM-V1 Development Status
Evaluate product integration against the development and validation status of each product.
- SeM-V1
- AI Chip development in progress
- Power efficiency
- Product-specific validation in progress
- Compiler · Runtime · Profiling
- Deployment software · evaluation hardware
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