Platform Scope
An overview of the key capabilities offered by the Simplismart platform
The SimpliSmart platform provides end-to-end AI model lifecycle management, covering inference, training, deployment, and monitoring. Users can choose between shared or private endpoints and also opt for BYOC (Bring Your Own Compute) deployments for greater control.
Core platform features
Training
Train and fine-tune GenAI models with customizable parameters for optimization.
Training
Train and fine-tune GenAI models with customizable parameters for optimization.
Deployment
Deploy models effortlessly across different environments.
Deployment
Deploy models effortlessly across different environments.
Monitoring
Track performance metrics, latency, and resource utilization.
Monitoring
Track performance metrics, latency, and resource utilization.
Inference
Inference on our platform can be accomplished in several ways to suit your needs.
- Shared endpoints for cost-effective, scalable performance.
- Private endpoints to leverage dedicated resources with higher reliability and performance.
- Bring your own compute (BYOC) to utilize your existing infrastructure, providing full control and potentially lower costs.
| Deployment | Dedicated Endpoint | Compute Resources | Model | Model Suite |
|---|---|---|---|---|
| Shared | No | Simplismart | Simplismart | Simplismart Server |
| Private | Yes | Simplismart | Simplismart /Yours | Simplismart Server |
| BYOC | Yes | Yours | Simplismart /Yours | Simplismart Server |
| On-Prem | Yes | Yours | Simplismart /Yours | Your Server |
Explore these core platform capabilities to accelerate your AI journey
Training
Train a model and optimize performance
Benchmarking
Benchmark and evaluate your deployed models
Inference
Invoke deployed models for inference
Playground
Try out all the models from the playground
Deployment
Deploy a model on a private infra or your own cloud
Platform Scope
An overview of the key capabilities offered by the Simplismart platform
The SimpliSmart platform provides end-to-end AI model lifecycle management, covering inference, training, deployment, and monitoring. Users can choose between shared or private endpoints and also opt for BYOC (Bring Your Own Compute) deployments for greater control.
Core platform features
Training
Train and fine-tune GenAI models with customizable parameters for optimization.
Training
Train and fine-tune GenAI models with customizable parameters for optimization.
Deployment
Deploy models effortlessly across different environments.
Deployment
Deploy models effortlessly across different environments.
Monitoring
Track performance metrics, latency, and resource utilization.
Monitoring
Track performance metrics, latency, and resource utilization.
Inference
Inference on our platform can be accomplished in several ways to suit your needs.
- Shared endpoints for cost-effective, scalable performance.
- Private endpoints to leverage dedicated resources with higher reliability and performance.
- Bring your own compute (BYOC) to utilize your existing infrastructure, providing full control and potentially lower costs.
| Deployment | Dedicated Endpoint | Compute Resources | Model | Model Suite |
|---|---|---|---|---|
| Shared | No | Simplismart | Simplismart | Simplismart Server |
| Private | Yes | Simplismart | Simplismart /Yours | Simplismart Server |
| BYOC | Yes | Yours | Simplismart /Yours | Simplismart Server |
| On-Prem | Yes | Yours | Simplismart /Yours | Your Server |
Explore these core platform capabilities to accelerate your AI journey
Training
Train a model and optimize performance
Benchmarking
Benchmark and evaluate your deployed models
Inference
Invoke deployed models for inference
Playground
Try out all the models from the playground
Deployment
Deploy a model on a private infra or your own cloud