Topaz Labs
Model deployment
Precompiling hardware-specific AI models took weeks per update. On-device generation enabled lightweight, single-package deployments.
- 15-20% reduction in model run times for users
- 3-4x reduction in AI engine storage size
Potholes and pedestrians taxed legacy compute. A 5x boost in video processing power now enables 12-hour autonomous delivery shifts.
A robotics spinoff from Uber operates one of the largest autonomous sidewalk delivery fleets, serving over 2,500 restaurants across five major U.S. cities.
Robots must navigate unpredictable sidewalk hazards like potholes and pedestrians, a far harder task than moving through controlled warehouses....
“Serve is on track to deploy 2,000 robots and become one of the largest fleets of autonomous robots in public spaces by the end of 2025. Our rapid progress and technology leadership would not be possible without our partnership with NVIDIA.”
Autonomous sidewalk delivery robots for last-mile logistics.
NVIDIA is a technology company that specializes in semiconductors, graphics processing units, and artificial intelligence for applications in data centers, gaming, and more.
Serve Robotics's Autonomous delivery navigation is part of this use case:
Related implementations across industries and use cases
Precompiling hardware-specific AI models took weeks per update. On-device generation enabled lightweight, single-package deployments.
Micro-delays broke 200-step automations. A custom inference engine now ensures 92% accuracy and handles 3x traffic spikes.
With 2.5 staff, manual counts slowed signal timing. Vision AI now tracks 55k vehicles in a live 3D twin to optimize flow continuously.
Programming robots took hundreds of hours. Using digital twins, engineers now train precise tasks in half a day.
Simulations were stuck in 2D and took hours. Physics-informed AI now models 3D urban airflow in seconds.
Manual checks of varied supplier documents bottlenecked financial close. Now, AI matches contracts, routing discrepancies to specialists.
Rate limits capped geocoding at 2,000 requests/min. A fine-tuned LLM now clears 8,000/min—cutting costs by 80%.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.
Protecting users from harmful on-device AI required internet. A powerful safety AI now runs directly on the PC, guarding users even when offline.
Potholes and pedestrians taxed legacy compute. A 5x boost in video processing power now enables 12-hour autonomous delivery shifts.
A robotics spinoff from Uber operates one of the largest autonomous sidewalk delivery fleets, serving over 2,500 restaurants across five major U.S. cities.
Robots must navigate unpredictable sidewalk hazards like potholes and pedestrians, a far harder task than moving through controlled warehouses....
“Serve is on track to deploy 2,000 robots and become one of the largest fleets of autonomous robots in public spaces by the end of 2025. Our rapid progress and technology leadership would not be possible without our partnership with NVIDIA.”
Autonomous sidewalk delivery robots for last-mile logistics.
NVIDIA is a technology company that specializes in semiconductors, graphics processing units, and artificial intelligence for applications in data centers, gaming, and more.
Serve Robotics's Autonomous delivery navigation is part of this use case:
Related implementations across industries and use cases
Precompiling hardware-specific AI models took weeks per update. On-device generation enabled lightweight, single-package deployments.
Micro-delays broke 200-step automations. A custom inference engine now ensures 92% accuracy and handles 3x traffic spikes.
With 2.5 staff, manual counts slowed signal timing. Vision AI now tracks 55k vehicles in a live 3D twin to optimize flow continuously.
Programming robots took hundreds of hours. Using digital twins, engineers now train precise tasks in half a day.
Simulations were stuck in 2D and took hours. Physics-informed AI now models 3D urban airflow in seconds.
Manual checks of varied supplier documents bottlenecked financial close. Now, AI matches contracts, routing discrepancies to specialists.
Rate limits capped geocoding at 2,000 requests/min. A fine-tuned LLM now clears 8,000/min—cutting costs by 80%.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.
Protecting users from harmful on-device AI required internet. A powerful safety AI now runs directly on the PC, guarding users even when offline.