Run Energy Simulations at the Speed of the Decision
WEKA NeuralMesh removes storage constraints for petabyte-sized datasets across oil, gas, nuclear, fusion, & renewables.
Energy and Research Computing Deployments Worldwide
USE CASES
One Storage System From Seismic Survey to Substation
Every energy simulation hits the same wall: sustained parallel I/O that legacy NAS and Lustre can't hold under AI-era metadata loads. WEKA® NeuralMesh™ delivers it from one namespace, on premises, in the cloud, or at a field site.
Oil and Gas Subsurface Intelligence
Full Waveform Inversion, reverse time migration, & reservoir simulation need fast parallel I/O for PB datasets. NeuralMesh cuts analysis from weeks to hours for faster extraction.
Grid Operations
Interconnection studies take two to three years and gate every construction approval. Simulation on NeuralMesh compresses that timeline and shortens the path to revenue.
Nuclear and Fusion
Coupled neutronics and plasma models run continuously across thousands of cores. One storage failure restarts everything, so NeuralMesh holds checkpoints through hardware faults.
Power Generation
Digital twins reach terabytes per asset, and carbon reporting needs live ingest alongside instant recall of multi-year archives. NeuralMesh serves both from one namespace.
Renewables
Wind and solar forecast accuracy moves grid stability and trading margins. GPU-optimized storage keeps predictive maintenance models fed, so turbines and arrays stay online.
What Changes When Storage Stops Stalling
Measured across energy HPC deployments moving from legacy parallel file systems to NeuralMesh.
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Faster seismic processing vs. cloud
A major oil and gas operator moved seismic workloads off its previous cloud architecture and held capacity spend flat through workload growth.
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Cut in grid study timelines
Interconnection studies that ran two to three years gate construction approval, land acquisition, and revenue.
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GPU utilization, up from about 30%
Same seismic throughput on a third of the infrastructure, or three times the capacity on the GPUs you already own.
WHY WEKA
Get Answers While They Still Change the Decision
Energy HPC is migrating to AI-optimized architectures, and Lustre and GPFS were not built for the metadata loads that come with it. Cloud-managed versions inherit the same limits.
Compress Seismic Runtimes From Weeks to Hours
Deliver 6x the throughput of cloud-hosted Lustre to cut simulation runtimes from weeks to hours and move faster on every extraction decision.
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Compress Seismic Runtimes From Weeks to Hours
Deliver 6x the throughput of cloud-hosted Lustre to cut simulation runtimes from weeks to hours and move faster on every extraction decision.
Protect Every Long-Running Simulation
Sustain terabyte-per-time-step checkpoint writes to eliminate complete re-spins, wasted GPU compute, and days of lost work on long campaigns.
Feed GPUs Instead of Buying More
Drive GPU utilization from ~30% toward 90% by eliminating idle compute cycles across concurrent cloud and hybrid energy workloads.
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“Sunrise will bring that capability to fusion by combining high-fidelity simulation with physics-informed AI to develop predictive digital twins that reduce the cost, risk and time of learning that would otherwise require expensive and time-consuming physical testing.”
Energy HPC Architecture and Benchmarks
Never Starve Your Engineering Pipelines
Feed massive telemetry streams and simulations in real time. NeuralMesh eliminates data starvation so your GPU clusters never stall.
Frequently Asked Questions
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