4ROUTER / AI INFRASTRUCTURE

AI infrastructure. Built around your workload.

From multi-model inference to training, GPU clusters and private deployment. Bring AI into production with the models and infrastructure your work needs.

4ROUTERINFRASTRUCTURE, IN PRACTICE.

THE PLATFORM

One endpoint. More possibilities.

Keep the way you build. Bring model access, routing decisions and usage management into one platform.

connect.pyPython
from openai import OpenAI
import os

client = OpenAI(
    base_url=os.environ["FOURROUTER_BASE_URL"],
    api_key=os.environ["FOURROUTER_API_KEY"]
)

models = client.models.list()

OPENAI-COMPATIBLE API

Your familiar SDK. More model choice.

Change one base_url to integrate; behind the endpoint is the full model pool.

Integration docs

ILLUSTRATIVE REQUEST PATH

Your requestTask · quality · cost
EnthalpyModel selection
General purposeReasoningSpecialised

ENTHALPY ROUTING ENGINE

Model selection that follows the task.

Enthalpy, our routing engine, brings task requirements, model capabilities and cost constraints into each decision.

Engine details →

Usage you can account for

Request-level usage records help you trace calls and reconcile costs.

Access in one place

Manage accounts and access through the console, with permissions scoped to each workspace.

CAPABILITIES / SERVICES

Built for the work ahead.

Build on the platform, or work with us on infrastructure of your own.

INFERENCE

Inference for real applications.

Access multiple models through one endpoint, or deploy model serving in a dedicated environment. Match models, capacity and access to the workload.

Inference in detail →

Unified model access

Connect providers through a compatible interface, with less integration work in your application.

Dedicated serving

Configure dedicated serving around your model, concurrency and data requirements.

TRAINING & OPTIMISATION

Make the model fit the task.

Fine-tuning, evaluation and kernel optimisation for a defined task. Start with quality and operational requirements, then choose the tuning path.

Training and tuning in detail →

Fine-tuning and evaluation

Fine-tune around your data and task, and evaluate the result on a consistent basis.

Kernels and runtime performance

Find bottlenecks from model execution down to kernel implementation, then optimise what matters.

YOUR ENVIRONMENT

Infrastructure on your terms.

When you need your own compute or defined data boundaries, our work extends to the cluster and the deployment.

GPU clusters and HPC

From hardware selection to scheduling and monitoring, the deliverable is a cluster that can be operated.

  • Cluster buildout
  • Scheduling and monitoring
  • Operations handover
Clusters and HPC in detail →

Private deployment

Deploy models and serving in your chosen environment, with explicit boundaries for data, access, updates and operations.

  • Private LLM services
  • The data boundary
  • Ongoing support
Private deployment in detail →

4ROUTER / SYSTEMS RESEARCH

Connect configuration choices to system behavior.

Understand how operators, KV state and scheduling shape an inference path.

Read the systems notes in Resources
GEMM / KERNELS

From operators to serving: cuBLAS & cuDNN

Identify the limiting resource before selecting the implementation.

ATTENTION / MEMORY

FlashAttention & PagedAttention: different memory problems

One optimizes data movement; the other organizes persistent state.

TIERS / TRANSFER

LMCache: placing KV state in a storage hierarchy

Avoiding prefill requires paying for state access.

4ROUTER / ENGINEERING

Inside the infrastructure.

Let’s talk infrastructure.

Connect to the platform, or discuss models, performance and deployment.