V2XCompute: Accelerated Edge and In-Vehicle High-Performance Computing

V2XCompute delivers hardware architectures for processing dense sensor streams, executing local dynamic map fusion, and offloading heavy perception tasks to roadside MEC servers.

Powering Dense Perception Pipelines at Highway Edge Nodes

Fusing hundreds of incoming cooperative perception messages with onboard LiDAR point clouds demands gigawatt-efficient compute. V2XCompute details automotive SoCs with dedicated NPU, DSP, and GPU pipelines.

Core Engineering Areas

• Roadside Unit MEC Architectures — Partitioning perception workloads between vehicle onboard SoCs and roadside micro-datacenters.
• Heterogeneous Automotive SoCs — Leveraging dedicated hardware accelerators to unpack, decrypt, and parse 1,000+ packets per second.
• Power & Thermal Management — Designing ruggedized compute modules operating reliably from -40°C to +85°C without forced air cooling.

Technical Articles

• Real-Time GPU Acceleration of 3D V2X Occupancy Grids from Cooperative Perception
• Dynamic Workload Migration Between Connected Fleets and Intelligent Infrastructure

Related Cluster Architecture Specifications

• AutomotiveV2X — Connected Vehicle-to-Everything & Cooperative ITS Architecture
• CellularV2X — 3GPP C-V2X Architecture, PC5 Direct Sidelink & Cellular Uu Infrastructure
• NRV2X — 5G NR V2X Sidelink, Sub-Millisecond Latency & High-Rate Sensor Sharing
• ISACV2X — Integrated Sensing and Communication (ISAC) for Automotive V2X