Next Level Optimization with Rose
SimpleRose is a high-performance computing optimization company, built to bring to market a groundbreaking improvement in the Simplex algorithm.
We believe the biggest decisions shouldn’t be limited by solver performance. That’s why we’re building Rose—a high-performance, parallel optimization engine for solving large-scale mixed-integer programming (MIP) problems.
Rose handles real-world complexity at scale by parallelizing the entire solving process—not just LP relaxations, but branching, cuts, and heuristics—across CPUs and GPUs including NVIDIA Grace Hopper pods.
The result: faster solve times, larger models, and better decisions with fewer tradeoffs.
The powerful combination of Rose and high-performance computing enables enterprises to:
- Solve larger, more complex optimization problems
- Achieve dramatic reductions in solve times
- Realize ROI that significantly exceeds infrastructure costs
