Introducing Nexlayer Inference
Dedicated inference, optimized around your workload. Bring us your model and workload — Nexlayer benchmarks it, configures the inference stack around its requirements, deploys dedicated infrastructure, and operates it in production.
Today we're introducing Nexlayer Inference — dedicated, managed inference for production AI workloads.
Bring us your model and workload. Nexlayer benchmarks it, configures the inference stack around its requirements, deploys dedicated infrastructure, and operates it in production.
We're launching with two ways to run.
Performance On Demand
Dedicated capacity continuously optimized around performance, billed by the hour.
Built for AI companies where latency, throughput and concurrency are part of the product.
You define the workload and performance requirements. Nexlayer operates and continually optimizes the inference environment around them across a 12, 24 or 36-month commitment.
As models, serving engines, optimizations and hardware improve, the infrastructure can evolve with them.
The model can change. The engine can change. The compute can change. The performance objective doesn't.
Built for AI-native products, real-time and voice, high-concurrency agents, model platforms and research teams.
Lock in the performance. Not the stack.
Your infrastructure keeps evolving. Your workload keeps getting faster.
Capacity Commit
Reserved capacity and performance at one fixed monthly price, with no per-token bill inside it.
Built for mid-to-large enterprises running sustained production AI workloads.
Nexlayer characterizes the workload, establishes the required capacity and performance envelope, reserves the infrastructure, and operates it.
Instead of forecasting tokens, you plan around the infrastructure required to run the workload.
Known capacity. Defined performance. Predictable monthly cost.
Built for always-on agent workforces, document and claims processing, internal AI platforms and regulated workloads.
Stop budgeting tokens. Start budgeting capacity.
Your AI workload can change. Your monthly infrastructure bill doesn't — within your reserved capacity envelope.
Underneath it: LiquidBrain™
LiquidBrain™ is Nexlayer's patent-pending distributed inference engine and workload-aware orchestrator, built to continuously improve how AI workloads run across models, serving engines and heterogeneous compute.
It's designed around the workload rather than a single inference engine, model architecture, accelerator or hardware vendor.
That gives Nexlayer one optimization target:
The performance of your workload.
Lower latency. Higher throughput. More concurrency. Better infrastructure utilization.
And as the inference ecosystem changes, the infrastructure underneath the workload can change with it.
AI infrastructure that gets better at running AI.
Built for AI that works
AI is moving from requests to work.
Agents research, code, test, operate, communicate and reason for increasingly long periods of time. As organizations move from individual agents to hundreds, thousands and eventually millions of them, inference becomes persistent production infrastructure.
That's the future we're building Nexlayer for.
Nexlayer already runs the applications, agents and services surrounding the model.
Nexlayer Inference takes us deeper into the stack.
Applications. Agents. Inference. Compute.
One production cloud for agentic software.
Nexlayer Inference is available now
Need maximum performance? Bring us your workload. We'll benchmark it.
Need predictable production capacity? We'll design the capacity plan around it.
Performance On Demand — dedicated capacity, billed hourly, continuously optimized for performance.
Capacity Commit — reserved capacity and performance, one fixed monthly price, no per-token bill inside it.