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DeepComputingDeepComputing
PRODUCT LAUNCHDeepComputing2026-05-12

DeepComputing Launches DC-ROMA RISC-V Mainboard III with 60 TOPS AI Acceleration for Framework Laptop 13

Key Takeaways

  • ▸First laptop mainboard with RVA23 RISC-V profile support, establishing RISC-V viability in consumer mobile computing
  • ▸Delivers 60 TOPS of general-purpose AI computing for on-device inference and privacy-preserving AI workloads
  • ▸Full compatibility with Framework Laptop 13's modular, repairable ecosystem
Source:
Hacker Newshttps://store.deepcomputing.io/products/dc-roma-risc-v-mainboard-iii-for-framework-laptop-13↗

Summary

DeepComputing has officially launched the DC-ROMA RISC-V Mainboard III, marking a significant milestone as the first laptop mainboard to support the RVA23 RISC-V profile. The mainboard is fully compatible with the modular Framework Laptop 13 and powered by the SpacemiT K3 processor, delivering up to 60 TOPS of general-purpose AI computing for on-device inference and AI-accelerated workloads. This combination enables developers and users to run demanding AI workloads directly on their laptops without relying on cloud resources.

The announcement represents a major step forward in bringing RISC-V architecture to mainstream consumer computing. The first batch is expected to ship at the end of June 2026. The product targets RISC-V developers and those interested in open-source processor architecture, while benefiting from Framework's reputation for repairability and upgradeability.

  • First production batch shipping end of June 2026, with support and Ubuntu pre-installation provided

Editorial Opinion

The DC-ROMA RISC-V Mainboard III represents a meaningful convergence of open-source processor architecture with consumer-friendly, repairable computing. By pairing RISC-V's architectural openness with the SpacemiT K3's impressive on-device AI capabilities, DeepComputing is positioning RISC-V as a viable alternative for developers who prioritize computing freedom and privacy-preserving workloads. The partnership with Framework's modular platform is particularly strategic, signaling that RISC-V adoption is advancing beyond embedded systems into practical mobile computing.

Machine LearningAI HardwareManufacturingOpen Source

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