The Inference Bottleneck Ends Here
Most inference bottlenecks aren’t model problems — they’re memory problems.
NeuralMesh™ with Augmented Memory Grid™ fixes the part everyone else ignores.
Your Models Have Perfect Memory. Your Infrastructure Doesn’t.
As inference becomes the dominant AI workload, user expectations are accelerating — and most infrastructure wasn’t built for what’s being asked of it.
- Redundant prefill drives up cost per token because memory constraints force models to recompute what they should already know.
- Latency spikes and inconsistent response times compound as production concurrency grows.
- Bursty, multi-tenant demand starves inference pipelines collapsing cache locality and capping your ability to scale.
This isn’t an efficiency problem. It’s a revenue problem.
NeuralMesh Delivers
Inference-Ready Infrastructure
Your existing infrastructure has more to give. NeuralMesh unlocks it — eliminating memory bottlenecks and maximizing token throughput as inference complexity grows.
Work Smarter, Not Harder
Push more data and get every dollar out of your GPUs by eliminating redundant prefill with extended context windows.
Shrink Costs, Not Performance
Reduce rack space, power, and cooling, allowing you to cut costs and increase performance even inside energy constraints.
Break The Memory Barrier
Leverage NeuralMesh to offload KV cache and drive better Retrieval-Augmented Generation (RAG) architecture design.
Build With What You Already Own
Software-defined, container‑native microservices allows you to leverage your existing infrastructure so you can deliver large-scale readiness on day one.
Deploy On Your Terms
Run workloads where you need to – on‑prem or in the cloud – with your own OEM or without external hardware.
Increase Token Throughput
Deliver ultra-low-latency, high-throughput storage performance for the most demanding use cases.
The Answer to AI’s Short-Term Memory Loss
Good user experience doesn’t fit inside a context window.
Augmented Memory Grid™ ensures it never has to again.
Expand Memory Capacity
by 1000x
Get rid of redundant prefill and watch your cache hit rates soar. By transferring KV cache into an NVMe token warehouse, we help you move past DRAM and achieve the inference of your dreams.
Increase Token
Throughput by 4.2x
Make large-scale inference sustainable across the prefill-to-decode pipeline. That means more concurrent users and more output – all without more hardware or energy costs.
Achieve 6x Faster Time-to-First-Token
Improve your AI user experience with ultra low-latency performance. Across multiple tenants and sessions your applications will feel instant, helping to reduce user drop-off and build trust.
Go from PoC to Production with WEKA AI Reference Platform
Modular, Production-Ready Architecture
WEKA AI Reference Platform (WARP) modular design decouples compute, storage, and retrieval so each layer scales independently. As workloads shift and models evolve, your infrastructure adapts without downtime — no rearchitecting, no starting over.
High-Throughput RAG at Incredible Scale
Production RAG means retrieving millions of embeddings and documents in real time, for every query. WARP is purpose-built for the extreme read throughput and low-latency random access that separates a working demo from a system your business can depend on.
Solve Your Data Path Problem
Optimize where source data and chunks live so retrieval and joins don’t become the bottleneck as your business grows.
Resources
Leave No Context Left Behind With a Token Warehouse™ Powered by NeuralMesh
Are You Overpaying for Inference?
Stop estimating. In one 30-minute session, we’ll pinpoint your cost leaks and show you how NeuralMesh can help you cut your cost per token in actual numbers.