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WEKA
Manufacturing

Feed Every GPU. Catch Every Defect. Keep the Line Moving.

WEKA NeuralMesh keeps inspection, simulation, digital twins, and robotics pipelines fed instead of waiting on storage.

Manufacturing and Robotics Using NeuralMesh

  • Samsung SDS
  • LG AI Research
  • Physical Intelligence
  • Hillbot AI
  • Innoviz

USE CASES

Inspection, simulation, and robotics look nothing alike, but they break storage the same way: relentless concurrency and metadata pressure that legacy NAS can't absorb. WEKA® NeuralMesh™ handles all of it from one namespace.

Automated factory production line inspecting gears with a vision system, robotic arms, and a screen showing 'PASS'.

Defect Detection and Predictive Maintenance

GPU vision systems catch defects at line speed instead of after the batch. NeuralMesh sustains continuous small-file ingest from cameras and sensors without latency drift.

Automotive Manufacturing

Automotive Manufacturing

Legacy storage idles expensive GPU farms during vehicle simulation and forces design re-spins. NeuralMesh absorbs concurrent CFD and FEA loads so design cycles keep moving.

Robotics

Robotics

Robotics training pulls LiDAR, camera, and telemetry streams at once, each checkpointing constantly. NeuralMesh closes the edge-to-data-center loop without manual staging.

Aerospace and Defense

Aerospace and Defense

A&D simulation needs massive parallelism and low-latency writes to avoid lost jobs. NeuralMesh ingests sensor and IoT data in real time so intelligence reaches decisions faster.

Augmented reality overlays in a modern factory showing holographic machinery, data, and maintenance alerts to workers.

Industrial Manufacturing

Digital twins and IoT telemetry starve compute and stall production cycles. NeuralMesh delivers ultra-low latency across concurrent engineering workloads so GPUs stay saturated.

Cleanroom technician uses laser on silicon wafer, next to robotic arm in yellow cleanroom.

Semiconductor Fabrication

Fab workflows write terabytes per time step across hundreds of concurrent simulations. NeuralMesh delivers the throughput and checkpoint reliability that keep tapeouts on schedule.

Chip Design and EDA

Chip Design and EDA

Hundreds of concurrent EDA jobs share one massive design database, and metadata performance decides whether tool farms run or stall. NeuralMesh handles the mixed load.

NeuralMesh Offers a Proven Solution for Manufacturing Teams

Results reported by individual manufacturing and robotics customers. Figures vary by workload and configuration.

  • 0%

    Faster model checkpoint times

    Physical Intelligence measured checkpoint operations delaying training by 15%. Moving to NeuralMesh recovered that time.

  • 0%

    Reduction in data infrastructure costs

    Physical Intelligence turned unused local NVMe across its GPU servers into shared high-performance storage.

  • 0x

    More bandwidth than NFS

    WEKA’s storage scalability and ability to grow the infrastructure without losing performance

  • 0B

    Parameter multimodal model

    Choosing WEKA in a public cloud environment was the optimal decision for maximizing performance, and it really made a difference in accelerating our multi-node AI training.

WHY WEKA

Get More Out of the GPUs You Already Bought

Manufacturing runs on concurrency, not raw capacity. Legacy NAS was built for files at rest, and adding shelves to it just adds copies, racks, and idle compute.

A woman in glasses works on a laptop in a factory or engineering lab, surrounded by machinery and wires.
  • Reduce Failure-Driven Overhead Expenses

    Maintain multi-tenant performance at sub-millisecond latency so quality inspection results reach the factory floor while the line is still running.

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LG AI Research
LG AI Research
Jiyeon JungSr. Engineer, AI Infra • LG AI Research

Never Starve Your Engineering Pipelines

Feed massive telemetry streams and simulations in real time. NeuralMesh eliminates data starvation so your GPU clusters never stall.

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Frequently Asked Questions

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