Advanced API access to Exania Orbe for research institutions, government agencies, and AI startups
Currently available in:
Complete documentation available after approval
| Features | Exania API | OpenAI API | Google AI API | Azure AI API |
|---|---|---|---|---|
| GPU Infrastructure | NVIDIA H200 | A100 | TPU v4 | H100 |
| Full Model Access | ||||
| Custom Fine-tuning | Unrestricted | Limited | Limited | Limited |
| Average Response Time | 50ms | 100ms | 150ms | 120ms |
| Custom Training |
import exania
model = exania.Model.create(
architecture="transformer",
size="large",
gpu="h200"
)
model.train(
dataset=your_dataset,
epochs=100,
batch_size=32
)
Custom model training with advanced parameters
response = model.predict(
input_text="Your input",
max_length=100,
temperature=0.7,
top_p=0.9
)
print(response.generated_text)
High-performance inference with customizable parameters
tuned_model = model.fine_tune(
training_data=custom_data,
learning_rate=2e-5,
epochs=5,
save_steps=500
)
tuned_model.save("custom_model")
Advanced fine-tuning capabilities for specific tasks
# Installation
pip install exania-api
# Authentication
import exania
exania.api_key = 'your_api_key'
# Initialize Client
client = exania.Client(
region='uk',
compute_type='h200'
)
# Create Session
session = client.create_session(
model_type='research',
memory_allocation='64gb'
)
Apply now for API access and unlock the full potential of Exania Orbe