ZibraXYZ
ZibraXYZ: the data layer for physics AI
Compressing, streaming, and serving volumetric data
directly to your GPUs.
Eliminate I/O bottlenecks.
Increase GPU utilization.
Train physics models faster.
Problem
Data gravity is holding back your training pipeline
Physics simulations generate massive, complex datasets — and every stage of your pipeline pays the tax.
Storage
Retaining full-resolution datasets across runs is unsustainable. Teams downsample or discard data.
I/O Bottleneck
Data transfer between storage and GPU is the limiter. GPUs sit idle waiting for data.
Format Fragmentation
VTK, HDF5, OpenVDB, custom formats — each needs its own pipeline and maintenance.
Collaboration
Sharing multi-TB datasets across teams means days of transfers and duplicated infra.
Solution Overview
One Data Layer. Raw Simulation to GPU-Ready Tensors.
From raw simulation output to training-ready data, in one pipeline.
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Use Cases
Built for the Data You Actually Work With
Designed for teams running large-scale physics simulations across domains.
CFD & Fluid Dynamics
Turbulence, multi-phase, LES/DNS
Climate & Weather
Atmospheric, ocean, reanalysis
Structural Mechanics
Stress/strain, crash, fatigue
Electromagnetics
Field distributions, plasma
Multi-Physics
Coupled heterogeneous fields
Whether you're training surrogate models or building foundation models across domains — ZibraXYZ handles the data layer so you can focus on the model.
Technical Specs
Under the Hood
GPU-Native Decompression
Universal Format Support
Adaptive
Encoding
Benefits
What Changes for Your Team
01
Faster Training
Remove I/O as the bottleneck. Keep GPUs saturated and reduce time-to-convergence.
02
Lower Costs
10–30× compression reduces storage and bandwidth by an order of magnitude.
03
Standardized Pipelines
One format across datasets, teams, and projects. No format-specific preprocessing.
04
Foundation Model Ready
Scale to multi-domain datasets and trillion-token training regimes.
On the Roadmap
ML-Ready Tokenization
We're building a native transformation layer — turning compressed simulation data directly into model-ready tokens.
Zibra AI is backed by
Built by world-class specialists in volumetric data compression. Our technology is proven in production VFX pipelines — now purpose-built for physics AI, where data challenges are larger and performance requirements are just as unforgiving.
Your Data Pipeline
Shouldn't Be Your Bottleneck
Tell us what you're working on. Our engineering team will show you how ZibraXYZ fits into your stack.
Book a 30-minute technical call.
No sales pitch — just engineering.
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