The SiMa.ai MLSoC Modalix Development Kit (DevKit) is a complete hardware and software platform for evaluating and prototyping intelligent Physical AI applications using the latest MLSoC Modalix System-on-Module (SoM).
Designed for rapid deployment, this kit enables seamless development, benchmarking, and proof-of-concept creation with SiMa.ai’s Palette software, offering best-in-class performance-per-watt in a compact form factor. Ideal for industrial, robotics, and vision-based and LLM-based applications, this kit supports real-time inferencing across computer vision, transformer models, and GenAI workloads.
The MLSoC Modalix SoM combines the power and performance of Modalix with extended peripherals, all in a compact form factor designed to scale Physical AI deployments. Built on the field-proven MLSoC, Modalix, with its rich peripherals and unique architecture, delivers exceptional performance for multimodal Transformers, LLMs, LMMs, and GenAI workloads, while also supporting legacy CNN and computer vision algorithms.
The Modalix SoM offers the best-in-class performance per watt.
| Phase | Description | Details |
|---|---|---|
| Evaluate | Use Palette to compile and run models, assess performance (FPS, latency, compute utilization), and monitor system metrics. |
|
| Prototype | Developers can rapidly prototype functional pipelines using SiMa.ai’s Python APIs. | Enables fast bring-up of custom ML workflows directly on the hardware without complex embedded optimization. |
| Demonstrate | The DevKit supports multi-camera input and high-speed interfaces for showcasing applications. |
|
| Subsystem | Specifications |
|---|---|
| MLSoC Modalix with ML Accelerator (MLA) | 50 TOPs (BF16, INT8, INT16); supports GenAI and neural networks |
| Application Processor | 8× Arm Cortex-A65 @ 1.4–1.5 GHz; 32k Dhrystone MIPS |
| Memory | 32 GB 128-bit LPDDR5, 128-bit @ 6400 Mbps |
| Video Codec | H.264/H.265/AV1 Decode 4K@60; H.264/H.265 Encode 4K@60 |
| Computer Vision (CVU) | 4-core Synopsys EV74 @ 1 GHz; 720 16-bit GOPS |
| Image Signal Processor | ARM Mali-C71 @ 1.2 GHz; supports RAW up to 24-bit, RGGB, RCCG, RCCB, RGBIR, WDR |
| Storage | 16GB eMMC, 64MB QSPI, 128Kb EEPROM |
| Advanced Security | Secure boot, encryption, key storage, user code API |
| Operating Temperature Range | 0–35°C |
| No. | Interfaces |
|---|---|
| 1 | HDMI 1.4 @ 4K |
| 2 | 2 × MIPI CSI-2 Connectors |
| 3 | M.2 M — 4× PCIe Gen4 RC/EP |
| 4 | 4× USB 3.2 |
| 5 | 1× USB-C |
| 6 | 1× Gigabit Ethernet |
| 7 | I²C / UART / GPIO / SPI / GPIO |
| Product Brief | Download |
• DevKit with enclosure (Modalix SoM and Carrier Board)
• Universal power adaptor (DC 12V @ 5A)
• M.2 500GB NVME storage
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The SiMa.ai MLSoC Modalix Development Kit (DevKit) is a complete hardware and software platform for evaluating and prototyping intelligent Physical AI applications using the latest MLSoC Modalix System-on-Module (SoM).
Designed for rapid deployment, this kit enables seamless development, benchmarking, and proof-of-concept creation with SiMa.ai’s Palette software, offering best-in-class performance-per-watt in a compact form factor. Ideal for industrial, robotics, and vision-based and LLM-based applications, this kit supports real-time inferencing across computer vision, transformer models, and GenAI workloads.
The MLSoC Modalix SoM combines the power and performance of Modalix with extended peripherals, all in a compact form factor designed to scale Physical AI deployments. Built on the field-proven MLSoC, Modalix, with its rich peripherals and unique architecture, delivers exceptional performance for multimodal Transformers, LLMs, LMMs, and GenAI workloads, while also supporting legacy CNN and computer vision algorithms.
The Modalix SoM offers the best-in-class performance per watt.
| Phase | Description | Details |
|---|---|---|
| Evaluate | Use Palette to compile and run models, assess performance (FPS, latency, compute utilization), and monitor system metrics. |
|
| Prototype | Developers can rapidly prototype functional pipelines using SiMa.ai’s Python APIs. | Enables fast bring-up of custom ML workflows directly on the hardware without complex embedded optimization. |
| Demonstrate | The DevKit supports multi-camera input and high-speed interfaces for showcasing applications. |
|
| Subsystem | Specifications |
|---|---|
| MLSoC Modalix with ML Accelerator (MLA) | 50 TOPs (BF16, INT8, INT16); supports GenAI and neural networks |
| Application Processor | 8× Arm Cortex-A65 @ 1.4–1.5 GHz; 32k Dhrystone MIPS |
| Memory | 32 GB 128-bit LPDDR5, 128-bit @ 6400 Mbps |
| Video Codec | H.264/H.265/AV1 Decode 4K@60; H.264/H.265 Encode 4K@60 |
| Computer Vision (CVU) | 4-core Synopsys EV74 @ 1 GHz; 720 16-bit GOPS |
| Image Signal Processor | ARM Mali-C71 @ 1.2 GHz; supports RAW up to 24-bit, RGGB, RCCG, RCCB, RGBIR, WDR |
| Storage | 16GB eMMC, 64MB QSPI, 128Kb EEPROM |
| Advanced Security | Secure boot, encryption, key storage, user code API |
| Operating Temperature Range | 0–35°C |
| No. | Interfaces |
|---|---|
| 1 | HDMI 1.4 @ 4K |
| 2 | 2 × MIPI CSI-2 Connectors |
| 3 | M.2 M — 4× PCIe Gen4 RC/EP |
| 4 | 4× USB 3.2 |
| 5 | 1× USB-C |
| 6 | 1× Gigabit Ethernet |
| 7 | I²C / UART / GPIO / SPI / GPIO |
| Product Brief | Download |
• DevKit with enclosure (Modalix SoM and Carrier Board)
• Universal power adaptor (DC 12V @ 5A)
• M.2 500GB NVME storage
No reviews yet. Be the first to share your experience!
Category: View similar items (SiMa.ai)
Fill out the form below and our team will get back to you with bulk pricing.
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