Predict freight flow analysis, route optimization and fleet maintenance.
Sesterce empowers the logistics and transports industry with scalable AI solutions, enabling the training and deployment of models in dedicated, secure environments. Our technology boosts productivity, drives innovation and gives companies a competitive edge.
Implement an internal LLM to automate logistics documentation, vehicle maintenance reports, and inter-team communications. This enhances operational efficiency and streamlines fleet management.
Develop predictive models to enhance inventory management and optimize delivery routes. This technology helps reduce operational costs and improve customer satisfaction through more reliable and timely deliveries.
Use AI to analyze vehicle sensor data and anticipate breakdowns before they occur. This approach reduces vehicle downtime and optimizes maintenance schedules, increasing fleet availability.
Our platform revolutionizes the transport and logistics industry by enabling swift work with qualified, unified business data, fueling innovation without the need for extensive reprocessing. Leveraging state-of-the-art ETL capabilities, we ensure continuous data ingestion and real-time transformation, crucial for managing large volumes of logistics documentation and vehicle maintenance reports.
Our serverless Lakehouse architecture provides a centralized repository for structured and unstructured data, such as sensor data from vehicles and supply chain records, enhancing data governance and compliance. This unified data approach streamlines fleet management and supports advanced AI models, such as predictive analytics for supply chain optimization and convolutional neural networks (CNNs) for image recognition in vehicle diagnostics.
Experience unparalleled security and performance in the transport and logistics sector with our Dedicated Inference Environment. Our platform isolates sensitive logistics data, ensuring robust protection while dedicated GPU resources deliver optimal performance for AI workloads.
By deploying private endpoints, companies can securely manage AI models used in predictive vehicle maintenance and supply chain optimization, such as recurrent neural networks (RNNs) for time series forecasting and support vector machines (SVMs) for anomaly detection. This tailored environment not only enhances data security but also ensures that AI solutions are executed in an optimized setting, driving operational efficiency and maintaining a competitive edge in timely and reliable deliveries.
State-of-the-art H200, B200, and GB200 Tensorcore GPUs with Infiniband connections deliver exceptional speed and low latency for AI workloads.
Intensive Workload Design, fully compatible with intense training and inference.
Enjoy seamless scalability with virtualized On-Demand clusters, enabling dynamic expansion of computing resources to meet evolving demands.
Benefit from our VMs, Reserved and Virtualized cluster to train your Model at scale.
Deploy dedicated On-Demand or Private inference endpoints to infere and re-train your Model.
Charge and Transform data in real-time and benefit from dynamic storage.
Leading AI companies rely on Sesterce's infrastructure to power their most demanding workloads. Our high-performance platform enables organizations to deploy AI at scale, from breakthrough drug discovery to real-time fraud detection.
Health
Finance
Consulting
Logistic & Transports
Energy and Telecoms
Media & Entertainment
Sesterce powers the world's best AI companies, from bare metal infrastructures to lightning fast inference.