NVIDIA cuOpt Leads Open Source Benchmarks for LPfeas, QPLIB, and SOCP🏅🏅🏅

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NVIDIA cuOpt Ranks No. 1 in Aggregate LP Feasibility Speed

NVIDIA cuOpt achieves the lowest run time among open source solvers on Hans Mittelmann’s LPfeas benchmark, solving 62 of 65 large linear programming problems. Faster solves can help developers reach valid plans sooner across supply chain, production, and other large-scale decision workloads.

Posted: Wednesday, August 19, 2026
X | LinkedIn | Hans Mittelmann LPfeas Benchmark

Faster Quadratic Optimization for Faster Decisions

NVIDIA cuOpt achieves the lowest run time among open source solvers on the Convex Continuous QPLIB Benchmark, solving 40 of 42 problems. Developers can accelerate sophisticated portfolio optimization, energy, and resource allocation models in which costs and constraints exhibit quadratic relationships.

Posted: Wednesday, August 19, 2026
X | LinkedIn | Hans Mittelmann QPLIB Benchmark

GPU Acceleration Speeds Complex, Risk-Aware Optimization

NVIDIA cuOpt achieves the lowest runtime among open source solvers on the Large SOCP Benchmark, solving 17 of 18 problems. This performance can help developers iterate faster on complex models involving risk, uncertainty, and engineering constraints.

Posted: Wednesday, August 19, 2026
X | LinkedIn | Hans Mittelmann SOCP Benchmark