RTX 4090:$0.29/hr
H100 SXM:$1.49/hr
A100 80GB:$0.79/hr
L40S:$0.59/hr
MI300X:$1.19/hr
RTX 3090:$0.14/hr
A6000:$0.49/hr
H200:$2.49/hr
RTX 4090:$0.29/hr
H100 SXM:$1.49/hr
A100 80GB:$0.79/hr
L40S:$0.59/hr
MI300X:$1.19/hr
RTX 3090:$0.14/hr
A6000:$0.49/hr
H200:$2.49/hr
RTX 4090:$0.29/hr
H100 SXM:$1.49/hr
A100 80GB:$0.79/hr
L40S:$0.59/hr
MI300X:$1.19/hr
RTX 3090:$0.14/hr
A6000:$0.49/hr
H200:$2.49/hr
v2.0: Ultra High Performance AI Cloud

The Universal Realtime
AI Cloud

One API for Text, Vision, and Video. Deploy AI generated optimised kernels for max throughput and leverage cost and latency optimised cloud aggregation for your workflows.

Kernel Forge

Intelligent Cloud

OneInfer API

Smart Endpoints

Talk to Founder
GPT-4oComplex Logic
Flux.1Image Gen
Intelligent Cloud

Cost and Latency
Optimised Aggregation.

Stop overpaying for component APIs. Use our Smart Aggregator to automatically route traffic to the cheapest or fastest provider for every request, reducing costs by up to 60%.

Smart Routing

Route simple queries to Llama-3-8B and complex ones to GPT-4o automatically.

Multimodal Chaining

Pipe text descriptions directly into Image Generation endpoints in one request.

Kernel Forge

Don't just run models.
Optimize them.

Our autonomous agents generate custom Triton and CUDA kernels tailored to your specific hardware, unlocking up to 10x inference speedups.

Auto-Generated Kernels

Submit a `GenerateKernelRequest` and our specialized agents write optimized Triton code for your operation graph.

optimized_kernel.pyGen Time: 12ms
@triton.jit
def fused_attention_kernel(
    Q, K, V, sm_scale, 
    L, M,
    Out,
    stride_qm, stride_kn, 
    BLOCK_M: tl.constexpr, BLOCK_N: tl.constexpr
):
    # Optimized memory access pattern
    # ...
145 ms
Standard PyTorch
12 ms
Fused Kernel

Code for Builders

From simple completions to complex low-level kernel optimizations.

example.ts
// Request Automated Kernel Optimization
const kernel = await client.kernels.optimize({
  name: "fused_attention_block",
  target_hardware: "NVIDIA_H100",
  graph: modelGraph, // your PyTorch/ONNX graph
  constraints: {
    max_latency_ms: 10,
    precision: "fp8"
  }
});

// Deploy the generated optimized kernel
await client.endpoints.deploy({
  model_id: "my-custom-model",
  kernel_id: kernel.id, // 10x throughput boost
  replicas: 2
});
Features

Why Choose oneinfer?

Everything you need to integrate AI into your applications, with enterprise-grade reliability and developer-first design.

Zero Maintenance

Focus on building, not on infrastructure. We handle scaling, updates, and reliability.

  • Automatic scaling based on demand
  • 99.9% uptime SLA guarantee
  • Zero-downtime deployments

Model Flexibility

Switch between Claude, GPT-4, Llama, and more with just one parameter change.

  • 15+ LLM providers supported
  • Unified API interface
  • Instant model switching

TypeScript Ready

Built for Next.js with full TypeScript support and intelligent autocompletion.

  • Full type definitions included
  • IntelliSense support
  • Runtime type validation

Edge Deployment

Deploy to Vercel Edge, Cloudflare Workers, or any serverless environment.

  • Sub-50ms global latency
  • Auto-scaling to zero
  • Edge-optimized runtime

Enterprise Security

Bank-level encryption with SOC 2 compliance and detailed access logs.

  • SOC 2 Type II certified
  • End-to-end encryption
  • Audit logs & compliance

Transparent Pricing

Pay only for what you use, with automatic volume discounts as you scale.

  • No hidden fees or markups
  • Volume-based discounts
  • Detailed usage analytics

Ready to experience the difference?

Quick Start Guide

How It Works

Get up and running with oneinfer in just three simple steps. No complex configuration or lengthy setup required.

Step 1

Install the SDK

Get started in under a minute with our TypeScript-native SDK.

terminal
npm install oneinfer
Step 2

Initialize the Client

Create a type-safe client with your API key.

typescript
import { OneinferClient} from 'oneinfer';

const client = new OneinferClient({
  apiKey: process.env.NEXT_PUBLIC_ONEINFER_KEY,
});
Step 3

Make API Calls

Access any model with a unified, consistent interface.

typescript
const response = await client.complete({
  model: 'claude-3', // Or 'gpt-4', 'llama-3', etc.
  prompt: 'Explain quantum computing simply',
  maxTokens: 500,
});

console.log(response.text);

Ready to start building?

Join thousands of developers already using oneinfer to power their AI applications.

Ready to Transform Your AI Development?

Join thousands of developers who are building faster with the oneinfer.

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