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Delivers instant decision-making on the robot by processing sensor data and running AI models with ultra-low latency.
Handles massive sensory datasets (vision, LiDAR, IMU, etc.) quickly and efficiently for accurate perception and context awareness.
Supports rapid training and retraining of neural networks, reducing time to iterate and improve robot intelligence.
Enables large-scale, high-speed simulations and digital twin environments to validate behaviors before hardware deployment.
Flexible, scalable hardware that grows with workload demands, from single robots to multi-robot systems.
AI-driven planning and control algorithms powered by HPC allow robots to navigate complex, dynamic environments with precision.
“HOT Systems workstations have significantly improved our design and BIM workflows. The performance, stability, and local technical support make them a reliable choice for demanding project environments. Their team understands real-world AEC requirements better than most global brands.”
“We chose HOT Systems for their engineered approach rather than off-the-shelf configurations. From consultation to deployment, the process was smooth, and the systems delivered exactly as promised. The after-sales support and quick turnaround are a major advantage.”
“HOT Systems stands out for combining high-performance hardware with dependable regional support. Their solutions have helped us standardize our workstation infrastructure while ensuring scalability and long-term reliability across multiple locations.”
“HOT Systems workstations have become a key part of our design and project delivery ecosystem. Their systems have helped us handle complex BIM models, large datasets, and multi-disciplinary coordination with ease. What sets HOT Systems apart is their deep understanding of AEC workflows and their responsive regional support.”
“Our BIM and design teams rely on HOT Systems for high-performance computing across Revit, Navisworks, Civil 3D, and visualization tools. The stability of the hardware, combined with optimized configurations, has improved productivity and reduced downtime on critical projects.”