Axelera Metis M.2 Max (214 TOPS D-IMC @ 15 TOPS/W) & SiMa.ai Modalix DevKit 3.0 (TSMC 6nm Physical AI SoM) Specification Comparison
Comparative silicon architecture analysis of the $189 Axelera Metis M.2 Max (Quad-Core RISC-V + Digital In-Memory Computing delivering 214 INT8 TOPS at ~6.5W) and the $999 SiMa.ai Modalix MLSoC DevKit 3.0 (50-TOPS MLA + 4x MIPI CSI-2 ISP + Synopsys CVU under 10W).
⚡ Key Engineering & Supply-Chain Takeaways
- Axelera's Metis M.2 Max ($189, M.2 2280 PCIe Gen3 x4) combines four Digital In-Memory Computing (D-IMC) cores and a quad-core RISC-V control cluster to deliver up to 214 INT8 TOPS at 15 TOPS/W (~6.5W typical).
- In vendor-published vision benchmarks, a single Metis AIPU processes over 3,200 FPS on ResNet-50 and 400+ FPS on YOLOv8s while supporting quantized VLMs and LLMs via the Voyager SDK.
- SiMa.ai's TSMC 6nm Modalix MLSoC DevKit 3.0 ($999) integrates a 24MP ISP (4× MIPI CSI-2), Synopsys ARC EV74 CVU, 4× Cortex-A65 cores, and a 50-TOPS MLA into a standalone sub-10W Physical AI module.
🔬 Technical & Supply-Chain Specification Matrix
| Axelera Metis M.2 Max ($189) | Up to 214 INT8 TOPS / 15 TOPS/W (~6.5W Typ) / 4× D-IMC + Quad-Core RISC-V |
|---|---|
| Metis Vision & VLM Stack | 3,200+ FPS ResNet-50 / 400+ FPS YOLOv8s / Voyager PyTorch & ONNX SDK |
| SiMa.ai Modalix DevKit 3.0 ($999) | TSMC 6nm Standalone SoM / 50 TOPS MLA + 4× Cortex-A65 + ARC EV74 CVU (<10W) |
| Modalix Camera & Multimodal I/O | 4× 4-Lane MIPI CSI-2 + 24MP On-Chip ISP + Dual 10GbE + Palette VLM SDK |
Digital In-Memory Computing (D-IMC) Co-Processors vs Standalone Physical AI SoMs
Based on official silicon documentation from Axelera AI and SiMa.ai, late-2026 edge AI hardware offers two distinct deployment topologies:
- Axelera Metis M.2 Max ($189): Designed as a drop-in PCIe Gen3 x4 M.2 2280 accelerator for x86 mini PCs and ARM industrial gateways, Metis performs matrix-vector multiplication directly inside SRAM bitcells via Digital In-Memory Computing (D-IMC)—delivering up to 214 INT8 TOPS at 15 TOPS/W (~6.5W typical).
- SiMa.ai Modalix MLSoC DevKit 3.0 ($999): Engineered for hostless mobile robots and drones on TSMC 6nm, Modalix integrates 4× MIPI CSI-2 camera inputs, a 24MP ISP, a Synopsys CVU, 4× Cortex-A65 cores, and a 50-TOPS MLA to run complete camera-to-VLM pipelines under 10 Watts.
🔗 Related AI Hardware in RECIWO Database
All 93 Devices →Axelera Metis M.2 Max 214-TOPS D-IMC Edge AI Accelerator
M.2 2280 PCIe Gen3 x4 edge AI accelerator powered by Axelera's Metis AIPU (Quad-Core RISC-V + Digital In-Memory Computing), delivering up to 214 INT8 TOPS at 15 TOPS/W (~6.5W typical) for multi-stream computer vision and local VLM/LLM inference.
SiMa.ai Modalix MLSoC DevKit 3.0 (50 TOPS Physical AI SoM)
TSMC 6nm Physical AI and robotics developer kit built around the SiMa.ai Modalix MLSoC, combining a 50-TOPS Machine Learning Accelerator, 4× Arm Cortex-A65 cores, on-chip ISP for 4× MIPI CSI-2 cameras, and sub-10W multimodal VLM execution.
DEEPX DX-M1 25-TOPS Ultra-Low-Power M.2 Edge AI NPU
5nm M.2 2280 PCIe Gen3 x4 neural accelerator delivering 25 INT8 TOPS at just 3.0W–5.0W with 4GB onboard LPDDR5 and proprietary IQ8 quantization that matches FP16 vision/VLM accuracy for Raspberry Pi 5 and fanless industrial edge servers.
Raspberry Pi AI HAT+ 2 (Hailo-10H 40 TOPS + 8GB RAM)
Second-generation official Raspberry Pi 5 GenAI HAT pairing the 40-TOPS (INT4) Hailo-10H neural processor with 8GB of dedicated onboard LPDDR4X memory—running 1.5B–3B local LLMs and VLMs at 3 Watts without touching host Pi RAM.
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A technical architecture and specification comparison of the Axelera Metis M.2 Max ($189, 214 INT8 TOPS Digital In-Memory Computing AIPU at 15 TOPS/W), SiMa.ai Modalix DevKit 3.0 ($999, TSMC 6nm 50-TOPS standalone Physical AI SoM with 4x MIPI CSI-2), DEEPX DX-M1 ($139, 25 TOPS at 3.2W), and Hailo-10H ($130).
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