Object Storage That Keeps GPUs Moving
High-performance S3 for AI, with GPU-scale concurrency, linear scaling, and unified file and object access.
One Dataset. Object and File.
See how WEKA NeuralMesh gives file and object workloads direct access to the same data, eliminating gateways and unnecessary copies.
Object and File at AI Speed.
NeuralMesh Object Store runs at the speed and scale AI infrastructure demands. S3 and POSIX serve the same data, so training and fine-tuning never wait on copies between stages, and models ship faster. Inference holds latency at thousands of concurrent sessions.
Performance That Feeds GPUs
Eliminate the ceilings that throttle S3 under load, so inference fleets drive higher user concurrency.
Unify Object and File
S3 and POSIX read and write the same data, so one dataset replaces separate copies and separate operations.
Lower Cost per Usable TB
AlloyFlash and data reduction on WEKApod® pack more usable S3 capacity per rack, watt, and dollar than any alternative.
Unleash Your GPU Power
Eliminate data bottlenecks with WEKA NeuralMesh to accelerate AI workloads, slash cost per token, and scale effortlessly.
What It Takes to Run S3 at AI Speed
Keep S3 Fast Under AI Load
Fast ListObject enumeration, Lightweight ETAG hashing, and Data Integrity Freedom target the exact operations that saturate first under AI load — catalog scans, high-concurrency writes, and checksum overhead. S3 over RDMA moves data directly into GPU memory, cutting latency from the inference path.
Proven at AI Scale
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Greater object throughput than nearest alternatives
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Faster enumeration across a 280-million-object dataset
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Data reduction with under 5% write overhead
“We needed something that’s much more scalable than existing NAS solutions — an infrastructure that could grow to hundreds of petabytes. Our existing solution couldn’t provide that scale and wasn’t performing as well in these magnitudes — that’s what drove us to WEKA.”
Scale Production AI Faster with NeuralMesh
Your models aren't slow. Your data is. Fix AI pipeline bottlenecks with high-throughput storage infrastructure.
Frequently Asked Questions
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