cuOpt
NVIDIA cuOpt is a world record GPU-accelerated optimization AI microservice that empowers instant dynamic decision-making to solve routing problems with the best-known accuracy at scale.
Key features of NVIDIA cuOpt:
Dynamic Rerouting: Rerun models and adjust for changes like inoperable vehicles, traffic and weather disruptions, and the addition of new orders—all within service-level agreement (SLA) time constraints.
World-Record Accuracy: Experience world-record performance, achieved across Li & Lim and Gehring & Homberger accuracy benchmarks. cuOpt owns all 23 world records set in the past three years on the largest routing benchmarks verified by the Norway Institute of Science.
Scale Seamlessly: Scale out to 15,000 routing tasks to facilitate computationally heavy use cases.
Real-Time Analytics: Route 1,000 packages in 10 seconds instead of 20 minutes (120X faster)—with the same level of accuracy
Save time and money: Reduce travel times and fuel costs by 15 percent. cuOpt can also reduce costs by minimizing fleet size, errors, and maintenance operations. A telco company reduced cloud costs from $1.5M to $200K annually.
Enterprise-grade Security, Flexibility, Manageability, and API Stability: cuOpt, part of NVIDIA AI Enterprise, is a secure, production-ready AI microservice enabling flexible and seamless deployment models.
Reduce carbon footprint: Enterprises can reduce carbon emissions by reducing data center usage and the miles driven. One EA customer validated that they reduced the data center usage by approx. 1,367 hours (equivalent to 99% of improvement). Another food franchise customer showcased that they were able to reduce 50miles driven per store daily, saving $37M annual cost. Their reduction in miles driven equals to 50 BIL (Bipartisan Infrastructure Law) fewer grams of carbon annually.
Documentation
Additional Resources
NVIDIA provides a course on the basics of using cuOpt through our Deep Learning Institute platform. Users can work with cuOpt interactively on hardware provided by NVIDIA, hosted in the cloud. .
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