NeuralMesh is the Storage Platform Behind Critical Energy Simulations
Seismic surveys, grid interconnection studies, and fusion campaigns share one constraint: storage that can’t keep pace. NeuralMesh™ eliminates that bottleneck and delivers sustained throughput, checkpoint reliability, and GPU saturation at petabyte scale for oil, gas, nuclear, fusion, and renewable energies
Faster Storage to Expedite Grid Operations, Oil & Gas, and Renewable Energy Operations
Legacy storage can’t keep pace with energy HPC and AI workflow demands. Combined, NeuralMesh, NeuralMesh™ Axon™ and Augmented Memory Grid™ deliver the throughput, resilience, and scale energy workflows require to succeed.
Speed Up Seismic Analysis
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 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 Continuously
Drive GPU utilization from ~30% toward 90% by eliminating idle compute cycles across concurrent cloud and hybrid energy workloads.
Deploy Anywhere
Burst to cloud for peak campaigns, connect offshore sites to headquarters, and run on-prem, cloud, hybrid, or edge from
one architecture.
Break GPU Memory Limits
Extend GPU memory into high-speed NVMe to run 10-billion-cell reservoir models on a single node without model partitioning
or rearchitecting.
Cut Management Overhead
Serve POSIX, NFS, SMB, and S3 from one namespace with automatic tiering, hot data on NVMe, and cold archive recall in seconds
on demand.
NeuralMesh Delivers Speed, Scale, and Resilience to Keep Energy Moving
Oil and gas, grid operations, renewables, nuclear, and power generation each require sustained parallel I/O, resilient checkpointing, and intelligent tiering. NeuralMesh supports the full energy HPC workflow across every segment of the value chain.
Oil and Gas
FWI, RTM, and reservoir simulation require massive parallel I/O across petabyte-scale datasets. NeuralMesh cuts analysis from weeks to hours, enabling faster extraction decisions and better GPU utilization.
Grid Operations
Grid interconnection studies take 2 to 3 years. NeuralMesh-accelerated simulation cuts those timelines by up to 80%, compressing the path to construction approval and revenue generation.
Renewables
Wind and solar forecasting accuracy directly impacts grid stability and energy trading margins. AI-powered predictive maintenance keeps turbines, solar arrays, and offshore platforms online and overhead low. NeuralMesh delivers GPU-optimized storage to maximize compute utilization and justify the infrastructure investment.
Nuclear and Fusion
Fusion and nuclear facilities run continuous coupled simulations across thousands of cores with no tolerance for failures. NeuralMesh sustains parallel I/O and checkpoint reliability these campaigns demand.
Power Generation
Thermal plants demand sustained I/O across multi-day windows. Digital twins reach terabytes per asset, and carbon compliance requires real-time ingestion and instant recall of historical archives.
NeuralMesh Offers a Proven Solution for Energy Teams
High-performance energy organizations need real-time access to data to accelerate seismic analysis, protect long-running simulations, and feed GPUs continuously across on-prem and cloud environments. Real-world results include:
- 2x seismic processing performance vs. prior cloud architecture
- 80% reduction in grid interconnection study timelines
- 6x more throughput than cloud-managed Lustre on equivalent infrastructure
- Seismic runtime compression from 80 hours to under 4 hours
“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.”
Choose NeuralMesh to Accelerate Energy Operations
When infrastructure stalls seismic pipelines, delays grid interconnection approvals, or disrupts long-running simulations, NeuralMesh is here to eliminate I/O bottlenecks, protect every workload, and keep energy teams productive. Ready to see what’s possible with NeuralMesh?
Common Questions, Straight Answers
FWI, RTM, and reservoir simulation demand massive parallel I/O across petabyte-scale datasets. Legacy NAS and cloud-managed Lustre can’t sustain the concurrency. NeuralMesh eliminates the bottleneck and cuts runtimes from weeks to hours. See WEKA’s HPC storage use cases guide.
Cloud-managed Lustre carries the same metadata bottlenecks and admin burden as legacy parallel file systems. NeuralMesh delivers 6x the throughput on equivalent infrastructure with intelligent tiering and no dedicated storage admin. Learn more in this WEKA blog on why storage is the defining HPC bottleneck.
A single storage failure restarts the entire job. NeuralMesh sustains terabyte-per-time-step checkpoint writes and maintains continuous operation even during hardware failures, so long-running campaigns stay running. See WEKA’s HPC infrastructure guide.
In energy HPC, GPU utilization of 20% to 30% is common because storage can’t feed compute fast enough. The fix isn’t more GPUs. NeuralMesh Axon co-locates data with compute to eliminate I/O stall and drive utilization toward 90%. Learn more in WEKA’s GPU utilization guide.
Interconnection studies take 2 to 3 years and block construction approvals. NeuralMesh delivers the throughput to run AI-accelerated grid simulation at scale, cutting those timelines by up to 80%. Learn how storage architecture defines AI factory success.
Lustre wasn’t built for the chaotic I/O patterns of FWI, ML-guided reservoir modeling, or physics-informed digital twins. NeuralMesh delivers POSIX, NFS, SMB, and S3 from a single namespace with no dedicated admins and no checkpoint re-spins.
Fusion and nuclear facilities run continuous multi-physics simulations across thousands of cores with zero tolerance for storage instability. NeuralMesh delivers the checkpoint reliability and multi-petabyte scale these campaigns require. See how the UK Atomic Energy Authority deployed the Sunrise AI supercomputer for fusion research.
Yes. NeuralMesh spans on-premises, cloud, and edge in a single namespace. Data stays in place and compute comes to it, including from offshore platforms, remote sites, and substations.
FWI builds high-resolution subsurface models using the full seismic wavefield. It requires sustained high-throughput I/O across petabyte-scale datasets, reliable mid-run checkpointing, and no model partitioning. NeuralMesh meets all three. See WEKA’s HPC storage use cases guide.