The problem needs the right operation
A mixed-integer quadratic model in QPLIB format.
Solve mixed-integer quadratic programs, with every reported solution verified.
Solve mixed-integer quadratic programs, with every reported solution verified.
THE PRODUCT, IN PRACTICE
Solve mixed-integer quadratic programs, with every reported solution verified. It is a newer Garmo Solvers module from the October 2026 benchmark campaign, outside the 1.0.2 release. Results are checked against the original input; the measured result below states where it is ahead and where it is not.
A mixed-integer quadratic model in QPLIB format.
Solve mixed-integer quadratic programs, with every reported solution verified.
An answer detached from its original constraints or input is difficult to rely on.
The suite rechecks the answer against the original input and identifies the applicable result state.
A capability or benchmark result is not a universal promise for a different workload.
Evaluate the selected input, resource budget, complete cost and required certificate against your baseline.
Solve mixed-integer quadratic programs, with every reported solution verified.
The best verified solution and its objective, checked against the original model.
Python API with headless execution today. garmo CLI and garmo-mcp setup is scoped on request; this publication does not invent executable commands or MCP tool names.
Every reported solution is re-checked for feasibility and objective on the original model.
On the QPLIB mixed-integer quadratic instances at 60 s: better than SCIP on 83, equal on 31 and worse on 6, with 0 checker disagreements. HiGHS and cuOpt do not run the quadratic suites.
Source: Garmo Labs benchmark campaign, October 2026. Results apply to the stated inputs, hardware and conditions; they are not universal competitor rankings.
See the measured result and chartsA customer has a supported model and wants an accepted result without adopting every other module.
Illustrative customer use—not a new benchmark or completed customer deployment.Provide the original input and define the useful outcome.
Run the selected module under its supported resource and interface scope.
Review the returned answer, original-input checks and completion state.
A better objective is not an optimality proof unless one is reported; SCIP is ahead on 6 of the 120 instances.
$60,000 per year for the standalone module licence, for a named scope. The platform plans cover development use across the catalog; production rights for this module are part of the order.
Python API with headless execution today. garmo CLI and garmo-mcp setup is scoped on request; this publication does not invent executable commands or MCP tool names.
Bring a task, an accepted outcome and the environment in which the product needs to work.
Select the capability you need directly or include its compatible role in a qualified platform workflow. Production scope identifies release, environment, capacity and support; a product count is not an entitlement.
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One capability. A connected workflow.
A team to put it into practice.