> ## Documentation Index
> Fetch the complete documentation index at: https://dynex.mintlify.app/llms.txt
> Use this file to discover all available pages before exploring further.

# Algorithmic Emulation Resources

> In addition to physical hardware, Dynex provides access to high-performance software-based emulation resources

In addition to physical hardware, Dynex provides access to high-performance software-based emulation resources designed to support large problem instances, development workflows, and reproducible experimentation.

These resources integrate seamlessly with the same SDK and runtime environment, allowing users to develop, test, and validate workloads before or alongside execution on specialized hardware.

* up to 1 million algorithmic qubits,
* deterministic reproducibility,
* flexible embedding,
* and compatibility with the same SDK used for Apollo and QPUs.

GPU qNodes are particularly suited for:

* large-scale sweeps,
* embedding validation,
* debugging of Hamiltonian structures,
* and scenarios where massive problem sizes exceed practical physical qubit counts.

[Benchmarks](https://dynex.co/learn/benchmarks)