The kluster.ai platform

Inference isn’t one-size-fits-all. kluster.ai tailors your workflow with real-time and batch serving, powered by Adaptive Inference for peak performance, privacy, and cost efficiency.

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Tiered inference built for scale

Mode

Real-time

Batch

When to use

Live chat, interactive apps

High-volume or bulk processing jobs

Benefit

Ultra-low latency responses

Efficient large-scale throughput

Adaptive Inference: The smart behind the scenes

Adaptive Inference is the engine behind kluster.ai’s real-time and batch serving. It automatically scales compute and adjusts rate limits to match the demands of each request, no matter the workload type. Instead of provisioning fixed resources or dealing with unpredictable latency, every job gets the right amount of power at the right time, ensuring fast, cost-efficient, and reliable performance.

What it delivers

Real-time responsiveness

Sub-second latency for interactive applications

Efficient batch throughput

Process large datasets at scale, predictably

Dynamic scaling

Resources flex with demand - no fixed limits, no bottlenecks

Developers-friendly & open-source compatible

Start building with minimal setup

• OpenAI-compatible API - drop-in replacement.

• Supports REST, Python SDK, and any existing CI/CD or orchestration pipeline.

• Seamless entry into Batch, Fine-Tuning, and Verify

Benefits that matter

Latency optimized

Real-time inference delivers sub-second responses for live apps

Cost efficient

Adaptive Inference and our global supplier model help keep large-scale batch jobs affordable

Scalable

Handles traffic spikes without any manual scaling or provisioning

Private & compliant

Zero prompt logging and encrypted traffic by default, with Dedicated Deployments available for teams requiring total isolation

Developers-first

Fast setup, flexible APIs, and no infra management

Start building today