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WEKA
 

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

  • Bar and line graph showing an overall upward trend with a highlighted purple dot.

    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.

  • A grid of light grey dots with one purple dot in the top row.

    Shared AI Factories Need More Control, Not More Silos

    More teams and customers share infrastructure, increasing the need for isolation and predictable performance.

  • A sparse network of separated grey storage shapes connected by indirect lines, with duplicate blocks and one purple routing dot symbolizing inference data scattered across systems.

    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

Oracle Cloud Infrastructure
Oracle Cloud Infrastructure
Pablo SelemSr Director, Software Development • Oracle Cloud Infrastructure

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.

Augmented Memory Grid

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.

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Frequently Asked Questions

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