A high-density, ruggedized rack server built for the heaviest GPU-accelerated workloads: large-scale AI/ML training and inference, and multi-node sensor fusion.
Train and run inference on models too large for a 1U or 2U system, with 4 or more GPUs on hand.
Aggregate and process data from many sensors or compute modules at once, in real time.
Log and process the largest data acquisition workloads across an entire production floor.
A compact rack server for space-constrained edge deployments running single- or dual-GPU workloads.
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Balanced compute and expansion for combined AI/ML and data acquisition workloads.
View Details →Efficient, compact computers for Mach3, EtherCAT, and vision systems.
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