# NVIDIA — NVIDIA cuDSS Now Generally Available to Accelerate Engineering and Scientific Simulations

- Company: NVIDIA (nvidia.com)
- Announced: 2026-10-21T10:30:25+00:00
- Category: developer-tool-release
- Coverage: not counted
- Announcement: yes
- Group: announcements
- Source: https://blogs.nvidia.com/blog/cudss-generally-available-engineering-scientific-simulation/
- Record: https://forck.live/items/25836-nvidia-cudss-now-generally-available-to-accelerate-engineering-and-scientific
- Subject: AI platform

NVIDIA made its cuDSS library generally available, moving the sparse-solve step of engineering and scientific simulations onto GPUs. The CUDA-X library targets large sparse systems, the math-heavy step that repeats throughout simulations and often limits how many designs a team can test. NVIDIA says applications can cut time to results and raise simulation throughput, letting users explore larger, more realistic models at reduced cost. Applied Materials reports up to 10x faster sparse solves in its Ginestra platform versus CPU-only approaches, and Dassault Systèmes reports an 8-10x speedup in its Abaqus solvers. ZEISS SMT measured a 4x speedup in an EUV lithography plasma benchmark run with COMSOL Multiphysics, finishing in six days and 14 hours. Cadence, Siemens and Synopsys also use cuDSS in their tools, and developers can integrate it through C, C++, Python and Fortran interfaces, scaling from workstations to clusters.

## Evidence

Verbatim from https://blogs.nvidia.com/blog/cudss-generally-available-engineering-scientific-simulation/:

> NVIDIA cuDSS accelerates solving large sparse systems — the math-heavy step that repeats throughout engineering and scientific simulations and often limits how many designs a team can test — by tapping into GPUs. This lets applications reduce time to results and increase simulation throughput, enabling end users to explore larger more realistic models, more accurate representations and a wider design space at a reduced cost.

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