GreenWaves Technologies
GAP8 Edge AI Guides
512 KB L2 SRAM with 9 RISC-V cores and hardware convolution engine. Purpose-designed for edge AI workloads — 8-core parallel cluster enables CNN inference at ultra-low power.
Hardware Specs
| Processor | 9-core RISC-V (1 FC + 8 Cluster) @ 250 MHz |
| Cores | 9 |
| Clock | 250 MHz |
| SRAM | 512 KB |
| Flash | 8 MB |
| FPU | none |
| Connectivity | |
| Key Features | Purpose-built for edge AI inference, 8-core compute cluster for parallel processing, Hardware convolution engine (HW CE), Ultra-low power (few mW during inference), L2 memory: 512 KB, L1 cluster: 64 KB shared, External memory via HyperBus/QSPI |
| Price | $5–$12 (chip), $30–$80 (dev board) |
Dev Boards in This Family
1 edge-AI-capable GAP8 development boards with specs and compatibility details.
Hardware Guides
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Orchestrate GAP8 Edge AI with ForestHub
The GAP8 runs inference on-device. ForestHub on your Linux edge gateway ingests its results over MQTT, orchestrates the sense-reason-act loop as a deterministic, auditable graph, and acts on the line.
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