Обработка ИИ в реальном времени в точке действия
Перенесите инференс ИИ из облака на периферию. Наши периферийные AI-рабочие станции дают задержку меньше миллисекунды, устойчивость без сети и суверенитет данных для критичных приложений в производстве, здравоохранении, рознице и умной инфраструктуре.
Traditional cloud-based AI requires data to travel from device to data centre and back, introducing 50 to 200 milliseconds of round-trip latency. For a robotic arm inspecting 120 parts per minute or an autonomous vehicle navigating at highway speed, that delay is unacceptable. Edge AI workstations run inference locally, cutting response time to under one millisecond while eliminating bandwidth costs and keeping sensitive data on-premises.
Edge AI workloads demand deterministic execution, not just fast averages. Applications such as defect detection on a production line or pedestrian recognition in autonomous driving require guaranteed worst-case inference times. Our workstations combine hardware accelerators with real-time operating system kernels to ensure every frame is processed within its deadline, even under thermal throttling or power constraints.
Guaranteed worst-case latency with RTOS-grade scheduling, ensuring no frame is ever dropped during continuous operation.
Fanless and ruggedised enclosures rated from -25C to 75C, designed for factory floors, outdoor kiosks, and vehicle compartments.
From 7W on Jetson Nano to 60W on AGX Orin, delivering up to 275 TOPS per watt for sustainable always-on deployment.
TensorRT and INT8 quantisation shrink models by 4x while preserving accuracy, enabling complex vision transformers on compact hardware.
Choose the right accelerator for your workload. All platforms support NVIDIA JetPack SDK, CUDA, TensorRT, and containerised deployment with Kubernetes at the edge.
Edge AI workstations are transforming operations across sectors where real-time decisions, data privacy, and network independence are non-negotiable.
Deploy multi-camera vision systems that inspect every unit on the production line at full speed. Detect surface defects, dimensional errors, and assembly faults in under 10 milliseconds per frame, reducing scrap rates by up to 35 percent.
Jetson AGX OrinFuse data from LiDAR, radar, and cameras for real-time path planning and obstacle avoidance. The AGX Orin processes multiple sensor streams simultaneously with functional-safety-grade redundancy.
Jetson AGX Orin / IGX OrinTrack foot traffic, monitor shelf inventory, and enable cashier-less checkout with on-premise vision pipelines. Customer data never leaves the store, ensuring GDPR and PCI compliance by design.
Jetson NanoAnalyse traffic flow, detect incidents, and manage adaptive signals across hundreds of intersections. Each edge node operates independently during network outages and syncs aggregated insights when connectivity resumes.
Jetson AGX OrinRun diagnostic AI models on X-ray, ultrasound, and endoscopy feeds directly in the examination room. IGX Orin meets IEC 62304 medical device software standards with built-in functional safety.
IGX OrinA robust edge deployment balances local autonomy with centralised management. Our reference architecture uses a three-tier pattern that scales from a single device to thousands of nodes across global sites.
Jetson or IGX modules run containerised inference pipelines managed by a lightweight Kubernetes distribution (K3s). Models are deployed as OCI images and updated via GitOps workflows.
An on-premises gateway aggregates telemetry, caches model updates, and handles local orchestration. It bridges the device tier to the cloud over secure mTLS tunnels.
A central dashboard provides fleet-wide monitoring, model versioning, A/B testing, and compliance reporting. Only metadata and aggregated metrics traverse the WAN, not raw data.
Edge AI workstations support multiple communication protocols to match every deployment environment, from bandwidth-rich factory LANs to remote outdoor installations.
Ultra-low-latency cellular connectivity for mobile robots, connected vehicles, and campus-wide deployments. Private 5G networks offer dedicated bandwidth with sub-10ms air-interface latency.
Long-range, low-power connectivity for distributed sensor networks in agriculture, environmental monitoring, and smart city infrastructure spanning several kilometres.
TSN-capable Gigabit Ethernet for deterministic factory-floor communication, integrating with PROFINET, EtherCAT, and OPC UA protocols.
High-throughput wireless for retail, warehouse, and healthcare environments where wired infrastructure is impractical.
From model training in the cloud to optimised inference at the edge, Workstation provides a unified pipeline that eliminates integration friction.
Monitor, update, and roll back thousands of edge nodes from a single control plane with zero-downtime canary deployments.
Hardware root of trust, encrypted model storage, secure boot chain, and continuous vulnerability scanning protect every device.
Built on ONNX, TensorRT, Kubernetes, and OCI containers. No vendor lock-in, full portability across hardware generations.
Our solutions architects will help you select the right hardware, optimise your models, and design a deployment architecture tailored to your operational requirements.
Design Your Edge AI Solution