Build an AI Factory That Keeps Up With AI
Connect enterprise data to training, inference, and agents on one high-performance data and memory foundation.
CHALLENGES
AI Is Constantly Changing. You Need a Dynamic Foundation.
AI Workloads Change Faster Than Infrastructure
Training, inference, and agents stress data differently, forcing teams to stitch together systems as requirements change.
Enterprise Data Silos Slow AI Pipelines
Data spans systems, formats, and locations, slowing the path from raw information to current, usable AI context.
Scaling AI Data Adds Complexity
More workloads, teams, and sites can mean more copies, infrastructure, and operational boundaries to manage.
BENEFITS
Move From Data to AI Outcomes Faster
Connect data, pipelines, memory, locations, and teams so AI workloads can move from experimentation to production without rebuilding the foundation.
One Data Foundation for the AI Lifecycle
Share data across training, retrieval, inference, and agents instead of creating separate copies and infrastructure for every workflow.
Automate Data Through Your AI Pipelines
Keep enterprise information current and usable so models and agents can work from the data the business actually runs on.
Put AI to Work Where Resources Are Available
Make data available across locations faster so workloads can move toward available compute without waiting for complete copies.
Scale More Workloads With Control
Support more teams, applications, and services on shared infrastructure while preserving the boundaries each workload requires.
From Model Development to Production AI
Results across training, inference, object storage, and infrastructure density show how WEKA® NeuralMesh™ supports the full AI factory.
0%
faster model training
Stability AI
0x
more concurrent users
0.0 EB
effective capacity per rack
FEATURES
One Data and Memory Foundation for the AI Factory
NeuralMesh connects data, pipelines, memory, locations, and teams so AI factories can support changing workloads without rebuilding the infrastructure around them.
Use One Data Foundation Across the AI Lifecycle
Access the same data through S3 and POSIX so training, retrieval, inference, and agentic workflows can share data without unnecessary copies, gateways, or sync jobs.
Unleash Your GPU Power
Eliminate data bottlenecks with WEKA NeuralMesh to accelerate AI workloads, slash cost per token, and scale effortlessly.
Frequently Asked Questions
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