Automation That
Moves Code
An agent for every step in the software
development life-cycle.
Small Specialized Models Is All You Need
An agent for every step in the software
development life-cycle.
Automation That
Moves Code
An agent for every step in the software
development life-cycle.
Trusted by Engineers
Trusted by Engineers
Why Use /ML
Why /ML?
Don't waste time fighting configs
We have a Docker and a UI for EVERYTHING
Serve Large Language models
Serve Large Language models
Serve Large Language models
All you have to do is make sure its available on hugging-face
# Serve Large Language Models def serve_llm(model_name, input_text): # Initialize the model model = load_model(model_name) # Generate response response = model.generate(input_text) # Log for observability log_inference(model_name, input_text, response) return response
# Serve Large Language Models def serve_llm(model_name, input_text): # Initialize the model model = load_model(model_name) # Generate response response = model.generate(input_text) # Log for observability log_inference(model_name, input_text, response) return response
def train_multimodal(model_name, dataset, epochs=10): model = load_multimodal_model(model_name) model.train(dataset, epochs=epochs) log_training_metrics(model_name, model.metrics) model.save() return model
def train_multimodal(model_name, dataset, epochs=10): model = load_multimodal_model(model_name) model.train(dataset, epochs=epochs) log_training_metrics(model_name, model.metrics) model.save() return model
Serve and train Multi-modal models
Train Multi-modal models
on /ML Workspaces or Your workspace
in other words, our GPUs or Yours
on /ML Workspaces or Your workspace
in other words, our GPUs or Yours
Host your Streamlit, Gradio and Dash Apps
Host your Streamlit, Gradio and Dash Apps
Share your dashboards and apps with users
Share your dashboards and apps with users
# Host Streamlit, Gradio and Dash Apps def deploy_app(app_type, app_path): if app_type == "streamlit": cmd = f"streamlit run {app_path} --server.enableCORS=false" elif app_type == "gradio": cmd = f"gradio {app_path}" elif app_type == "dash": cmd = f"python {app_path}" # Deploy with observability process = start_process(cmd) setup_monitoring(process.pid, app_type) return f"App deployed at http://your_domain:{process.port}"
# Host Streamlit, Gradio and Dash Apps def deploy_app(app_type, app_path): if app_type == "streamlit": cmd = f"streamlit run {app_path} --server.enableCORS=false" elif app_type == "gradio": cmd = f"gradio {app_path}" elif app_type == "dash": cmd = f"python {app_path}" # Deploy with observability process = start_process(cmd) setup_monitoring(process.pid, app_type) return f"App deployed at http://your_domain:{process.port}"
Cost observability
Increase cloud cost visibility and gain clear insights into cloud spending
