Turn Every GPU, Watt, and Dollar Into More AI Outcomes
WEKA NeuralMesh provides the data and memory foundation for inference, helping AI factories serve more users and tokens.
CHALLENGES
As Inference Scales, Infrastructure Economics Get Harder
Every New User Raises the Cost of Inference
More users and longer context increase compute, memory, power, and cooling demand, raising the cost of every AI outcome.
Shared AI Factories Need More Control, Not More Silos
More teams and customers share infrastructure, increasing the need for isolation and predictable performance.
Inference Data Lives in Too Many Places
Model weights, retrieval data, and artifacts span systems and sites, creating copies, movement, and operational overhead.
BENEFITS
Improve the Economics of Every Token
WEKA® NeuralMesh™ combines persistent context memory with high-performance storage to reduce recompute, increase serving density, and more useful inference from every GPU.
Generate More Tokens From the Same Footprint
Support more users, models, and services without scaling rack space, power, cooling, and infrastructure cost at the same rate.
Keep Performance Predictable as Demand Grows
Reduce repeated work and maintain fast data access as concurrency, context windows, and model demand increase.
Serve More Tenants With Control
Serve more teams and customers on shared infrastructure while maintaining isolation, performance, policies, and governance.
Put Data Where Inference Needs It
Reduce copies, staging, and movement so inference services can access the data they need across workflows and locations faster.
Key inference results, measured at production scale
Results across long-context, concurrent, and AI-factory environments.
0.0x
higher sustained input-token throughput
0x
more concurrent users
0%
More effective capacity per rack than alternatives
Pablo SelemSr Director, Software Development • Oracle Cloud Infrastructure
“WEKA’s NeuralMesh platform with Augmented Memory Grid on OCI helps remove memory bottlenecks, delivering substantially more throughput and concurrent users from the same GPU footprint. For customers, that means higher ROI on infrastructure investments and a clearer path to cost-efficient AI at scale.”
FEATURES
NeuralMesh Is Built for Production Inference at Scale
NeuralMesh brings data, memory, mobility, and control together to help AI factories deliver more inference from the infrastructure they deploy.
Reuse Context. Generate More New Tokens.
With NeuralMesh as an NVMe-backed Token Warehouse™, WEKA Augmented Memory Grid™ streams reusable KV cache over RDMA and NVIDIA GPUDirect Storage, reducing repeated prefill so GPUs can focus on generating new tokens.
Deliver More Tokens From Every GPU and Watt
Turn idle compute into active throughput. Offload reusable context over RDMA to generate more tokens per rack.
Frequently Asked Questions
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