What Can a GPU-Accelerated Solver Do for You?
Explore our latest research for new GPU-enabled algorithms for barrier and PDHG, and submit your models for testing.
Gurobi Teams With NVIDIA to Advance First-Order Methods for Large-Scale Optimization
NVIDIA’s open-sourcing of cuOpt is set to accelerate innovation and support Gurobi’s efforts in advancing first-order methods for large-scale optimization challenges.
NVIDIA CEO Jensen Huang GTC Keynote
Watch NVIDIA CEO Jensen Huang unveil the next wave of AI and accelerated computing at GTC 2025, including the open-source release of cuOpt’s PDLP, which will help bring more GPU-friendly algorithms to linear programming.
New Options for Solving Giant LPs
GPUs have now made first-order methods a compelling option for solving massive linear programming problems—but when are they the right choice? Join Dr. Ed Rothberg as he explores alternative approaches, key tradeoffs, and how these methods can drive real advancements in optimization.
Explore our latest benchmark results for new GPU-enabled algorithms for barrier and PDHG.
With Gurobi, you can unlock faster LP performance using a GPU-accelerated solver.
Gurobi’s GPU-based PDHG implementation can significantly speed up solve times for some large-scale instances.
Contact us today to submit your models for testing.
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