Now in BetaInspired by vLLM principles

Effortless AI Inference Starts Here

Deploy, scale, and optimize AI models without infrastructure complexity. Making AI inference accessible for everyone.

No credit card required
Free tier included
Input Layer
Output Layer
Processing
Optimization
Up to 10x
Faster inference
Up to 60%
Cost savings
99.9%
Uptime target
50+
Model architectures

Built on industry-leading open source technologies

P
PyTorch
T
TensorFlow
T
Transformers
O
ONNX
v
vLLM
K
Kubernetes

The Challenge

Inference is Not Solved

Models are outpacing infrastructure. Teams struggle with complexity, costs, and the constant churn of hardware and optimization techniques.

01

Model Complexity

AI models are growing exponentially larger. Managing inference at scale is becoming increasingly difficult.

02

Hardware Fragmentation

GPUs, TPUs, custom silicon - the hardware landscape is fragmented and constantly evolving.

03

Infrastructure Gap

There's a growing gap between model capabilities and the infrastructure needed to serve them.

04

Performance Bottlenecks

Latency, throughput, and cost optimization remain unsolved challenges for most teams.

The Solution

We Close the Gap

Inferactx simplifies AI inference with a unified platform that abstracts away infrastructure complexity. Deploy models in seconds, scale automatically, and pay only for what you use.

  • Serverless-like deployment for any model
  • Automatic optimization across hardware
  • Built-in batching and caching
  • Real-time scaling based on demand
  • Multi-model orchestration
  • Cost-optimized routing
deploy.py
Python
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# Deploy any model in 3 lines from inferactx import deploy model = deploy( name="llama-3-70b", auto_scale=True, hardware="optimal" ) # That's it. You're live. response = model.generate("Hello, world!")

How It Works

From Model to Production in Minutes

A streamlined workflow that eliminates infrastructure complexity. Focus on building, not managing servers.

01

Upload Your Model

Push any model from Hugging Face, custom PyTorch, TensorFlow, or ONNX formats. We handle the rest automatically.

02

Automatic Optimization

Our engine analyzes your model and applies optimal quantization, batching, and hardware-specific optimizations.

03

Deploy Instantly

Get a production-ready API endpoint in seconds. Auto-scaling handles traffic from 0 to millions of requests.

04

Monitor & Scale

Real-time dashboards show latency, throughput, and costs. Fine-tune performance with actionable insights.

Features

Built for Scale and Flexibility

Everything you need to run AI inference at scale. Inspired by vLLM, built for the modern AI stack.

Instant Deployment

Go from model to production endpoint in seconds. No infrastructure setup required.

Multi-Model Support

LLMs, multimodal models, MoE architectures - we support them all with optimized runtimes.

Global Edge Network

Serve models from the edge for lowest latency. Automatic geo-routing included.

Enterprise Security

SOC 2 compliant with end-to-end encryption. Your models and data stay secure.

Auto Optimization

Continuous profiling and optimization. We squeeze every bit of performance automatically.

API First

Clean, documented APIs that integrate with any stack. SDKs for all major languages.

Use Cases

Powering Every AI Application

From chatbots to image generation, our platform handles diverse workloads with optimized performance for each use case.

Conversational AI

Build intelligent chatbots and virtual assistants with optimized response times.

Multi-turn conversations
Context retention
Real-time streaming
Custom personas
<100ms
P50 Latency
High volume
Throughput
inference.py
from inferactx import Model

# Initialize conversational ai model
model = Model("chat-v1")

# Run inference
result = model.run(
  input=data,
  optimize=True
)

# Latency: <100ms

Why Inferactx

The Best of All Worlds

Combine the flexibility of self-hosting with the convenience of managed platforms. Get the performance you need without the operational burden.

Feature
InferactxInferactx
Self-Hosted
Other Platforms
Automatic model optimization
Zero infrastructure management
Multi-model orchestration
Custom hardware selection
Auto-scaling to zero
Global edge deployment
Open source core
Enterprise SLA
Cost optimization engine
Real-time monitoring

Open Source

Not Locked Behind Proprietary Walls

We believe in the power of open collaboration. Our core technology is open source, built by the community, for the community. Contribute, customize, and extend.

12.5k
Stars
2.1k
Forks
500+
Contributors

Testimonials

Loved by Engineering Teams

See what developers and engineering leaders say about building with Inferactx.

The deployment experience is incredibly smooth. We can focus on building better models instead of managing infrastructure.
E
Early Beta User
ML Engineer, AI Startup
Going from prototype to production took days instead of weeks. The auto-scaling means we don't worry about traffic spikes.
B
Beta Tester
Engineering Lead, Tech Company
The API design is exactly what developers need - clean, intuitive, and well-documented. Performance has exceeded our expectations.
D
Developer Preview User
Staff Engineer, Software Company
Finally, an inference platform that prioritizes developer experience without sacrificing performance or flexibility.
B
Beta Program Member
Senior Developer, ML Platform Team
The open-source foundation gives us confidence. We know we can customize or self-host if our needs change.
E
Early Adopter
Technical Lead, AI Research Lab
Cost optimization features are impressive. We're seeing significant savings compared to our previous infrastructure setup.
P
Preview User
DevOps Engineer, Cloud-Native Startup

Start Building with Inferactx

Join our beta program for early access. Be among the first to experience effortless AI inference and help shape the future of the platform.

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