Inference
that's fast, simple, and scales as you grow.Run leading open-source models like Llama 3, on the fastest inference stack available, up to 4x faster than LLM Orchestrators and Cloud AI at over 3x lower cost.
curl -X POST https://api.azerion.ai/v1/inference \
-H "Authorization: Bearer $AZERION_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "meta/llama3-8b",
"prompt": "What are the best practices for prompt engineering?",
"max_tokens": 500
}'The Complete Toolkit for Modern AI Development
Azerion AI provides all the tools and infrastructure to deploy, optimize, and scale your AI models.
Rapid API Creation
Turn models into production-ready APIs in minutes. Focus on building, not infrastructure management
Accelerated Performance
Leverage our finely-tuned stack for high-speed training and inference, optimized for cost-efficiency
Simple API
Easy to integrate REST API with client libraries for popular languages
Serverless Endpoints. Pay-Per-Use Simplicity
Deploy models instantly without pre-booking capacity. Azerion AI automatically scales your endpoints from zero to peak demand and back again. Ideal for development, testing, and applications with variable traffic. Enjoy cost-effective AI with zero idle costs.
No infrastructure management
Focus on your application logic instead of model deployment
Pay-per-token pricing
Only pay for what you use, with no upfront commitments
Automatic scaling
Handle from one to millions of requests without configuration
import requests
API_URL = "https://api.azerion.ai/v1/inference"
API_KEY = "your_api_key"
def generate_text(prompt, model="meta/llama3-8b"):
response = requests.post(
API_URL,
headers={
"Authorization": f"Bearer {API_KEY}",
"Content-Type": "application/json"
},
json={
"model": model,
"prompt": prompt,
"max_tokens": 500
}
)
return response.json()
result = generate_text("Explain quantum computing")
print(result["text"])Dedicated Endpoints for any model
Secure reserved instances for consistent, low-latency performance. Perfect for production workloads demanding high throughput and predictable response times.
Full resource control
Choose instance types and scaling parameters to match your workload
Custom models
Deploy your own fine-tuned models or any Hugging Face model
Advanced monitoring
Real-time metrics and logs for performance optimization
Integrate Azerion Inference Engine into your application
Our SDKs make it easy to integrate powerful AI capabilities into your application with just a few lines of code.
Multiple language SDKs
Python, JavaScript, Go, Java, and more
Streaming responses
Build responsive UIs with token-by-token streaming
Comprehensive examples
Sample applications and integration guides for popular frameworks
import { AzerionAI } from '@azerion/sdk';
// Initialize the client
const ai = new AzerionAI({
apiKey: process.env.AZERION_API_KEY,
});
async function chatCompletion(messages) {
const stream = await ai.chat.completions.create({
model: 'meta/llama3-8b',
messages: messages,
stream: true,
});
// Process streaming response
for await (const chunk of stream) {
const content = chunk.choices[0]?.delta.content || '';
if (content) {
process.stdout.write(content);
}
}
}Engineered for
Speed, Scalability, and Value
FASTER
Than leading cloud AI providers
TOKENS/SEC
Average output speed for Llama 3 models
LOWER COST
Compared to major providers
The Azerion Inference Engine sets us apart.
Real-Time Inference Speed
Delivers exceptionally low latency, making your generative AI applications feel instantaneous and responsive.
Cost-Efficient Performance
Maximizes throughput while minimizing resource consumption, significantly reducing your operational costs per inference.
Versatile Model Optimization
Accelerates a diverse range of architectures and model sizes, ensuring optimal performance regardless of your chosen AI model.