📈 #44 Why NVIDIA’s solvers might be the future

And see how it could reshape your optimization strategies.

NVIDIA is all in on Operations Research.

They have developed lately different libraries and products for solving optimization problems, like cuOpt and AI agents for Supply Chain Optimization that I recently wrote about.

And that’s awesome coming from the 3rd biggest company of the world if we look at their market cap.

They are building a strong portfolio of libraries. But what are libraries without developers pushing them? So they are building teams around those libraries too.

Today in Feasible we’ll look to a special job offer from NVIDIA, a highly specialized one. One that:

• Is super technical,

• Pushes the boundaries of innovation, and

• Sets a high bar on advancements in computational techniques to solve optimization problems.

But before going into the details of the post, I need to say: don’t miss the PSs at the end of this post, specially the first one!

Now… Let’s dive in! 🪂

⚙️ The role of accelerated solvers in Operations Research

Solvers are the tools that actually implement advanced algorithms to solve your problems to optimality.

Traditionally, they have been in a race for being the most efficient and fastest ones. This is what gives them the advantage in the market. If you as a business solve your problems in no time and to optimality with a specific solver, wouldn’t you like to have such a solver in your team?

That race have been for most of the time a matter of software development.

Remember what I told you about the virtous cycle between academia and the industry? Industry has benefited from academia for those advanced algorithms that academia ideates. And they are key to have such a great solver.

But now things have changed with the arrival of quantum computers…