Work in Full Resolution. Skip the Proxy Workflow.

WEKA NeuralMesh holds 8K playback, VFX renders, and model training in one namespace, with no proxies and no copies.

Studios, Venues, and GenAI Labs Run On NeuralMesh

USE CASES

One Namespace From First Frame to Final Render

Media workflows fight over the same thing: a storage layer that can serve 8K sequential reads and millions of tiny metadata operations at the same time, for hundreds of artists at once. WEKA® NeuralMesh™ does both without tuning or proxies.

A vibrant, futuristic city with neon lights, holographic displays, flying vehicles, and people walking.

Generative AI

Multimodal training reads video, audio, and text at once. NeuralMesh bypasses the kernel and DRAM to keep training fed, then serves inference to thousands of concurrent users.

A woman edits video on three large monitors with a control panel in a dimly lit studio.

High-Quality Post-Production

Global post needs huge concurrency across millions of small files, plus CPU and GPU on demand. NeuralMesh removes proxy workflows and the pre-fetch guesswork underneath them.

A woman uses a color grading control panel to edit video on a monitor displaying a split screen of a desert truck scene before and after color correction.

Color Correction and VFX Rendering

Uncompressed 4K and 8K grading needs low-latency playback; frame rendering needs high IOPS. NeuralMesh serves both from one namespace, so nobody clears the SAN before a session.

A band performs for a large crowd in an arena with immersive LED screens displaying a blue eye and colorful psychedelic patterns.

Immersive Live Entertainment

Some of the worlds largest screens need petabytes moving in real time. NeuralMesh distributes high-resolution content across media servers in minutes, not hours, before doors open.

Proof from the Studios and Venues Running NeuralMesh

How WEKA's M&E customers are using NeuralMesh to power every AI workload and maximize creative outcomes.

0+GB/s
Live video at 16K x 16K
U2:UV ran four concurrent 16K displays at Sphere across a 100Gb network at line-rate speed.
0%
Cut in cloud storage costs
Parliament VFX quartered its cloud storage spend and kept higher performance, across nine Super Bowl commercials and a Taylor Swift album launch.
0x
Faster AI training startup times
Luma AI went from 10 to 20 minutes of environment startup down to 30 to 60 seconds, at 95%+ utilization on its H100 nodes.
0.0PB
Distributed across 23 servers
Dead & Company moved 90TB of content per show at Sphere, rendering and encoding in minutes instead of hours.

WHY WEKA

Stop Paying Creators to Wait on Storage

M&E breaks storage from both ends at once: sequential 8K reads and millions of small-file metadata calls. Systems tuned for one tend to fall over on the other.

Camera monitor displaying a dark, wet, futuristic tunnel scene with blue lighting and two figures.

Enable Collaboration Across Distributed Studios
Hold high performance in every location and end versioning nightmares, using asynchronous writes and on-demand caching.

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Enable Collaboration Across Distributed Studios
Hold high performance in every location and end versioning nightmares, using asynchronous writes and on-demand caching.
Dazzle Creators with an Uncompromising Experience
Enjoy a flawless, lag-free experience across demanding 4K, 8K, and 16K+ playback, color grading, and rendering pipelines.
Support Peak Rendering With Elastic Scalability
Adapt to unpredictable, heavy bursting workflows by independently scaling capacity and performance across concurrent clients.

Accelerate Time-to-Market for Gen-AI and VFX
Overcome massive small-file workloads and solve IOPS and metadata bottlenecks with the NeuralMesh™ distributed architecture.
Build Production Studios On Premises, In Cloud, and Hybrid
Bridge on-premises environments and the cloud using a single, unified namespace to run entire production pipelines seamlessly.
Eliminate the High Cost of Infrastructure
Use zero-copy architecture and combine NVMe, AlloyFlash, and low-cost object storage to reduce overall storage infrastructure costs.

Work From One Copy, Everywhere
POSIX, NFS, SMB, and S3 come off the same namespace, so editors and VFX artists pull from one source of truth instead of versioned copies scattered across sites and protocols.
Keep GPUs Fed Through Training Runs
NeuralMesh streams shared environments and training data to every node in the cluster, so Luma AI's H100 nodes reach 95% to 100% utilization far sooner instead of idling while environments load.
Skip the Tuning and the Proxy Workflows
One architecture handles sequential 8K reads and random small-file I/O without separate silos, so artists move between playback and metadata scans without anyone rebuilding the storage layout.

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Brandon KraemerTechnical Director for Dead Forever • Dead & Company

“Technology is at its best when it gets out of the way of the creative process, and that is exactly what NeuralMesh did for us at Sphere. NeuralMesh made working with what were once unthinkable resolutions and file sizes a near effortless experience.”

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