Faster AI. Lower Cost.

Break the Inference Barrier

The AI race will be won — or lost — on inference. The challenge?
Designing for workloads that are messy, fast-moving, unpredictable, and unforgiving.

Accelerated Infrastructure for the Age of Agentic AI

Training thrives on predictable, batched workloads—inference doesn’t. Real-time requests, bursty demand, and inefficient context retrieval often pushes infrastructure well beyond its limits. NeuralMesh™ by WEKA® breaks down barriers by maximizing time to first token (TTFT), enabling ultra-low inter-token latency.

Now, you can scale your inference workloads as effortlessly as training workloads.
Local-disk performance with cloud-like elasticity
Local-disk performance with cloud-like elasticity
Real-time, bursty <br class="d-none d-lg-block">access to data
Real-time, bursty
access to data
Faster time to first token
Faster time to first token
Efficient context retrieval instead of bulk throughput
Efficient context retrieval instead of bulk throughput
REAL-WORLD RESULTS

Scaling Inference Without Scaling Infrastructure

A leading LLM provider* turned to WEKA to address critical bottlenecks in their inferencing pipeline. Their storage system couldn’t keep pace—model loads dragged, GPUs sat idle, and response times lagged during peak traffic.



With NeuralMesh, they accelerated inference, improved service for both users and customers, and reduced infrastructure complexity and cost—without scaling hardware.



*Customer name withheld for confidentiality

Download the Solution Brief
Before WEKA

  • Software-Defined Architecture

    GPUs sit idle while you’re billed full-throttle.

  • Shared-Memory Metadata

    Performance nosedives the moment you try to scale.

  • Legacy Tuning Loops

    Constant rebuilding, caching, and optimizing.

After WEKA

  • Intelligent Data Pathing

    Up to 93% GPU utilization — no idle cycles.

  • Adaptive Performance Scaling

    Your infrastructure gets faster as your models get bigger.

  • Zero-Touch Optimization

    No tuning. No staging. Just pure, automated performance.

  • Universal Deployment Flexibility

    Run on cloud, bare metal, or hybrid — no compromise.

Faster AI. Lower Cost.

NeuralMesh can help you reduce token processing costs, maximize your GPU investments, and deliver better and faster results to your users.

Prepare for AI at Scale with NeuralMesh

41x
faster TTFT
Up to
93%
GPU utilization
6x
lower latency
I’m Interested in Faster, More Efficient AI

Captured at the AI Infra Summit 2025

WEKA and NVIDIA Accelerate Inference Pipelines

Learn how this partnership supports real-time data retrieval and efficient GPU utilization, simplifying the deployment of AI applications.

Featuring:

  • Shimon Ben-David, CTO of WEKA
  • Nave Algarici, Sr. Product Manager, NVIDIA
Story telling

The Blueprint for Scalable RAG and Lightning-Fast Inference

The WEKA AI RAG Reference Platform (WARRP) simplifies the chaos of inference with a single, scalable solution.

Built on NeuralMesh, WARRP is a modular, production-grade RAG platform designed to reflect real-world environments. It helps you design infrastructure that adapts as workloads evolve.

What WARRP delivers:

  • Integration with the full AI stack
  • Seamless vector DB, embedding, and inference integration
  • Zero storage lag

In production, WARRP gives you confidence to focus on outcomes, not firefighting.

Download the Reference Architecture

Resources

Brief
Transform Your AI Factory with NeuralMesh Axon
Get the Details
Blog
WEKA Sets A New Bar With 75X Faster Time to First Token (TTFT)
Learn More
Brief
Top 7 Reasons You Shouldn’t Wait on Inference
Read the Brief
Blog
Redefining AI Infrastructure: Powering Intelligent Agents with WEKA and NVIDIA
Learn More

Inference Can Make or Break
Your Business. We Can Help.

Let’s Talk