Albatron.ai introduces the TALO-A1000, a new embedded AI controller system designed to support high-performance AI workloads alongside deterministic, time-synchronized operations in industrial and autonomous environments.
TALO-A1000 - AI Controller for Deterministic Autonomous Systems
2026.05.04
AI Performance for Real-Time Workloads
The system delivers up to 1200 / 2070 TOPS of AI performance, powered by NVIDIA’s Blackwell architecture, with up to 2,560 CUDA cores and 96 Tensor cores, enabling real-time processing across multi-sensor workloads.
Time-Synchronized System Behavior
To maintain consistent system behavior, the TALO-A1000 supports IEEE 802.1AS, Qav, and Qbv, along with 2x 10GbE, 2x 1GbE, and dual 10G SFP+, allowing time-synchronized communication for control and real-time execution.
Built for Multi-Camera and Sensor Input
It supports up to 8 GMSL2 camera inputs at 5 Gbps per channel with FAKRA-Z connectors, making it suitable for machine vision, traffic monitoring, and robotic perception.
Power stability for critical environments
The system also supports a 9 to 55V DC input range with 1500V AC isolation, ensuring stable operation in environments with fluctuating power conditions.
Direct Integration with Industrial Systems
For system integration, the platform includes USB 3.1, isolated RS-232/485, and CAN Bus 2.0A/B, enabling direct connectivity with industrial equipment and control systems.
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