How can GPUs improve decision optimization workflows? In what ways will solving optimization problems change? How does this change the way technology leaders think about their AI strategies? We spoke with the NVIDIA cuOpt team to find out.
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A look at how one startup is supporting sustainable and resilient city design by optimizing urban delivery logistics — starting with dispatch apps designed for eco-friendly operators.
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In a few clicks, you can spin up, configure, and run a Nextmv decision app that assigns workers to flexible or fixed shifts. Use a unique API endpoint to automate shift scheduling for delivery, healthcare, education, retail use cases, and more.
It’s been one year since we launched the new and improved Nextmv platform. That was just the start of an exciting dash to arrive at the product we have today. We’ve come a long way, and there's so much more to come.
We’re thrilled to announce our integration with OR-Tools – pairing production-ready infrastructure, version management, and testing capabilities with the modeling libraries and solvers you know and love.
Change can be scary or energizing. But when it comes to developing and deploying algorithms that make routing, scheduling, and fulfillment decisions, ready-made testing tools tilt the balance in favor of energizing by building confidence.
