
Turn the data layer into an advantage that makes your infrastructure more productive and your AI cloud more valuable.
The AI clouds already running NeuralMesh
CHALLENGES

AI clouds differentiate on performance, experience, and services. Your data layer can enable what you build next, or constrain it.

Training, inference, and agents place varied demands on infrastructure. When workloads collide, performance is unpredictable.

Long context, agents, even new AI architectures constantly change how you access, move, and reuse data across the cloud.
BENEFITS
Get more performance, efficiency, and flexibility from your infrastructure stack.
Offer high-performance data services, accelerate inference, and support new service tiers that add value beyond GPU access.
Maintain consistent performance as different workloads and customers compete for the same infrastructure.
Keep GPUs productive and increase performance and storage density to get the most out of every rack, watt, and node.
Support physical and virtual isolation, multiple deployment models, and diverse workloads without locking your cloud into one architecture.
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More Tokens per GPU
Benchmark using WEKA® NeuralMesh™ with WEKA Augmented Memory Grid™ on OCI GPU infrastructure against a DRAM-only baseline.
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More Concurrent Inference Users
Benchmark using NeuralMesh on OCI GPU infrastructure against a DRAM-only baseline.
0%
GPU Utilization
Measured in Stability AI’s production training environment running large-scale generative AI workloads on NeuralMesh.

“Our vision was to build Thailand’s first sovereign AI cloud and develop Thai-based large language models (LLMs) that truly understand our language, culture, and unique context.”
FEATURES
NeuralMesh gives you a data architecture designed to support what your AI cloud needs today and whatever you build next..
NeuralMesh lets you build shared services with logical tenant isolation or dedicate physical resources when customers require it. Each tenant can have independent controls for data, networking, identity, encryption, performance, and resource consumption, giving you the flexibility to support different customers and service tiers on one data platform.

Eliminate pipeline latency, maximize GPU utilization, and move data fluidly across your cloud environment with NeuralMesh.
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