Cheaper, Faster, More Realiable

Inference Workload Orchestrator

Leverage a state-of-the-art distributed network of gateways and compute nodes, ensuring resource utilization is maximized while minimizing latency and operational expenses.

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Key Features

Multi-Modal System Guarantees Efficiency and Scale

1 / REST API & OpenAI API

Quick and easy API setup enables seamless integration to send inference requests and receive results in real time with minimal development resources required to get going.

2 / Load Balancer

Smartly distributes tasks across gateways and compute nodes, leveraging proximity, workload, and operational costs for optimal performance. It supports multi-gateway setup to work across multi-data centers.

3 / Network Gateways

Gateways serve as entry points for compute nodes, recording key details such as available models, usage, total capacity, and hardware specs upon node subscription. They assist the load balancer, track work states, gather performance metrics, and manage large resource transfers like images and videos.

4 / Compute Nodes

Perform AI model inference locally, supporting multiple models on a single GPU while maximizing throughput and minimizing idle time.

Case Study

x5.14 Cost Reduction for AI News Agent

NCN Bullish News is a 4 AI model agent consuming community collected news and turning it into YouTube videos reported by an AI Avatar. Originally, 4 GPUs on Google Cloud were rented to perform complex collection, re-writing, text-to-speech, and video generation tasks for each video production. Before the Neuron Cluster, each video cost $4.27 to produce.

Model quantization and IWO reduced the price of each video to $0.83 by reducing unnecessary neural networks in models and reducing the number of GPUs used in the infrastructure by fitting multiple AI models into a single GPU and optimizing the idle time of each GPU.

IWO cost reduction case study NCN Bullish News

API-Based Middleware Layer

Compatible With Any Infrastructure

Google Cloud, AWS, on-premise, or hybrid, Inference Workload Optimizer seamlessly integrates on top of any infrastructure and starts optimizing workloads instantly helping to cut down GPU idle time and reduce the number of GPUs required in the infrastructure.

Getting Started

Optimizer SaaS, Infra Saas, or Your Environment

Inference Workload Optimizer_Neuron Cluster

Choose The Model

Integrate on to your current or newly established AI inference infrastructure.

How it works: Inference Workload Orchestrator (IWO) will automatically detect the gateways, GPUs, and nodes in your network and select hardware resources within your infra for inference workloads.

Infrastructure: Compatible with any infrastructure - cloud, on-premise, hybrid.

Integration: Compatible with OpenAI API and REST API for seamless integration into any environment.

Security: Communication between IWO components is end-to-end encrypted and matches the up to date data security standards.

Pricing: Monthly based on the size of your infrastructure and models that you use.

In case you don't have an AI infrastructure yet, you can choose the fully managed SaaS and we will manage it all for you from setup to maintenance, optimization, reporting, and the rest.

All you need to do is let us know your AI plans and we will choose the best GPU provider mix, integrate IWO, and only charge you for what you use.

Key benefits:

You don’t need to do anything, just let us know what you need and we will take care of the rest
Pay the monthly bill for what you use only at the best prices guaranteed

Self-Managed Model

License enables you to host and manage your own gateway(s) on-premises or in a private cloud environment. We offer the software, updates, and support framework but do not run the gateway infrastructure for you.

Per-Gateway Licensing

Each gateway instance that a license-holder operates in the network requires a dedicated license. This ensures fair usage and accountability for network resources.

Annual Renewal

The license is subject to a yearly renewal to maintain active support and access to updates, patches, and new feature releases.

Key Benefits

All That You Need For Optimal AgenticAI and GenAI Inference

Scalable Performance

Effortlessly handle increasing demand with horizontal and vertical scalability of compute nodes and gateways.

Uncompromised Security

Benefit from end-to-end encryption, up-to-date security standards, controlled and monitored AI agent function calling, and strict data privacy protocols.

Cost Optimization

Reduce costs through model quantization & distillation, intelligent task allocation, dynamic scaling, multiple models sharing the same GPUs, and CPU offloading.

Dynamic Optimization

Intelligent task batching, caching, and asynchronous processing minimize latency and maximize resource utilization.

Real-Time Efficiency

Enjoy low-latency, high-throughput inference powered by distributed gateways and advanced task distribution across your infrastructure.

Distributed Architecture

Achieve unparalleled efficiency and scalability with secure, low-latency communication between components.

FAQ

Inference Workload Optimizer