Viridien–NVIDIA seismic imaging on HPC: key takeaways for mine planners
Reviewed by Tom Sullivan
First reported on International Mining – News
30 Second Briefing
Viridien has entered a collaboration with NVIDIA to optimise its subsurface seismic imaging algorithms on NVIDIA accelerated computing platforms, including NVIDIA DGX systems and NVIDIA Clara for AI-enabled imaging. The work targets full-waveform inversion and reverse time migration workloads, aiming to exploit multi-GPU, high-bandwidth memory architectures and cloud-native HPC deployment. For miners, faster, higher-resolution seismic volumes could tighten drilling targets, reduce uncertainty in complex structures and enable more iterative geophysical modelling within existing exploration budgets.
Technical Brief
- Collaboration centres on Viridien’s proprietary Subsurface Imaging and HPC & Cloud Solutions technology stack.
- Joint work is framed around end-to-end seismic imaging workflows, not just isolated algorithm kernels.
- Cloud-native deployment focus suggests containerised, orchestrated HPC environments rather than traditional bare-metal clusters.
- Emphasis on multi-GPU scaling implies redesign of data partitioning and communication patterns in Viridien codes.
- High-bandwidth memory utilisation will require reworking memory layouts to minimise host–device data transfers.
- For mining operations, such HPC–geophysics integration signals convergence of exploration geophysics with mainstream AI/HPC toolchains.
Our Take
NVIDIA is emerging as a common digital backbone across mining equipment and subsurface imaging, with our database also recording its collaboration with Caterpillar on ‘physical AI’ and robotics in January 2026, which suggests operators may increasingly standardise on NVIDIA-based stacks from pit to subsurface modelling.
Within our mining coverage, there are relatively few pieces centred on pure-play HPC platforms compared with fleet autonomy or ore sorting, so Viridien’s use of NVIDIA hardware for seismic imaging points to compute infrastructure becoming a more visible differentiator in exploration workflows rather than a back-office IT decision.
For service providers like Viridien, aligning tightly with a dominant chip vendor such as NVIDIA can shorten time-to-market for new seismic algorithms but may also lock clients into specific GPU-based ecosystems, which operators will need to weigh against flexibility in their longer-term digital roadmaps.
Prepared by collating external sources, AI-assisted tools, and Geomechanics.io’s proprietary mining database, then reviewed for technical accuracy & edited by our geotechnical team.
Related Articles
Related Industries & Products
Mining
Geotechnical software solutions for mining operations including CMRR analysis, hydrogeological testing, and data management.
Construction
Quality control software for construction companies with material testing, batch tracking, and compliance management.
CMRR-io
Streamline coal mine roof stability assessments with our cloud-based CMRR software featuring automated calculations, multi-scenario analysis, and collaborative workflows.
HYDROGEO-io
Comprehensive hydrogeological testing platform for managing, analysing, and reporting on packer tests, lugeon values, and hydraulic conductivity assessments.
GEODB-io
Centralised geotechnical data management solution for storing, accessing, and analysing all your site investigation and material testing data.