Discover our AWS and Azure services below, incl. comparison between the services.
You can find out more on our ai attack products here.
Available for free and without any expiration date.
With Individual you receive access to the latest OpenAI models (GPT-4, GPT-4 vision, DALL-E etc.).
This access costs 50 euros/month.
With Premium Teams you receive access to the latest OpenAI models (GPT-4, GPT-4 vision, DALL-E etc.), plus you can enable the feature Add Own Data, to upload also own documents.
This access costs 80 euros/month/user (minimum 10 users).
With the Azure Standard Developer package you can develop your own AI use case.
Standard costs 1000€/month (plus consumption cost) and is for 1 use case.
Please find below in the table an overview of the pricing.
Get access to the Custom Package, a customized version of the standard package for developing your AI use case (for specific requirements).
Custom costs 1800€/month (plus consumption cost) and for multiple use cases.
Please find below in the table an overview of the pricing.
Get access to the API Only, to get an Azure API key.
Azure API Only costs 300€/month and is for 1 use case.
Please find below in the table an overview of the pricing.
Get started with a developer account on AWS and instantly receive a custom develpment account whether for development, sandbox testing, or production.
Enjoy full access to all ACP 2 services, rigorously evaluated by Cybersecurity with just one click. Standard price €1800 per month plus usage per use case.
The easiest way to build and scale generative AI applications with foundation models using AWS Bedrock with Datalake2Go.
The API endpoint will be delivered in an email with the API key to you once you place order. Standard price from €500 per month plus usage per use case.
A packaged Datalake2Go Chatbot API that handles context management and session management out of the box. Based on AWS Bedrock models from Anthropic and Amazon.
The API endpoint will be delivered in an email with the API key to you once you place order. Standard price from €550 per month plus usage per use case.
Basic Free of Cost | Premium Individual 50€/month | Premium Teams 80€/month/user* | Add-Ons | |
---|---|---|---|---|
Add own data | Feature: Add Own Data (for Premium Teams only) Consulting from 1000€ Included in all packages:
*Consumption fees of up to 300 euros are included; Charges will apply only for the amount that exceeds this limit | |||
Dedicated Resource Group | Only with Add-On | |||
Blob Storage | Only with Add-On | |||
Web App | Only with Add-On | |||
A.I Cognitive services | ||||
Computer vision | ||||
Document intelligence | ||||
Cognitive Search | only with Add-On | |||
Models | ||||
GPT-3.5 Turbo, Turbo 16K | ||||
GPT-4o | ||||
GPT-4 Vision | ||||
GPT-4 and GPT-4 Turbo models | ||||
DALL-e | ||||
Text-embedding-ada 002 | Only with Add-On | |||
Text-embedding-3-large | Only with Add-On | |||
Text-embedding-3-small | Only with Add-On | |||
Add-Ons | Feature: Add Own Data (for Premium Teams only) Consulting from 1000€ Included in all packages:
*Consumption fees of up to 300 euros are included; Charges will apply only for the amount that exceeds this limit |
API Only 300€ /month* | Standard 1000€ /month* | Custom 1800€ /month* | Add-Ons | |
---|---|---|---|---|
Initial Set-up Costs | 500€ | 1000€ | 2000€ | Implementation Consulting Operations (MLOPs) Playground Included in all packages:
*plus Azure consumption costs **DALL-e is available on demand for proper use case |
Azure Resources | ||||
Dedicated Resources Group | ||||
Dedicated Azure Subscription incl. Terraform access | ||||
OpenAI Service GPT-3.5 Turbo 16k, GPT-4 and more** | ||||
Machine Learning Service All Open Source LLM | Mistral Large is available | |||
A.I Cognitive Services Computer Vision, Custom Vision, Document Intelligence, Text translator | ||||
Supporting Services Blob Storage, Application Insights, Key Vault, Container Registry MS Defender | ||||
Data | ||||
Hana, Snowflake | ||||
Custom interfaces to DBs on demand | ||||
Interfaces | ||||
Power BI, Mendix, Tableau, SNX though VPN | ||||
Custom interfaces on demand | ||||
Add-Ons | Implementation Consulting Operations (MLOPs) Playground Included in all packages:
*plus Azure consumption costs **DALL-e is available on demand for proper use case |
Bedrock API from 500€ /month* | Add your own data API from 550€ /month* | Custom from 1800€ /month* | Benefits | |
---|---|---|---|---|
Bring your Data | Cybersecurity Data Privacy Annual reviews Platform improvements Operations Billing Included in all packages:
| |||
S3 Storage | ||||
Dedicated Context in OpenSearch | ||||
Web App Integration | ||||
Models | ||||
Anthropic Claude 2 | ||||
Amazon Titan | ||||
Llama 2 | ||||
Cohere Command & Embed | ||||
Jurassic | ||||
Stable Diffusion | Available later | |||
Bedrock Features | ||||
Dedicated API Endpoint | ||||
Model Evaluation | Available later | Available later | ||
Guardrails | Available later | Available later | ||
Agents | Available later | Available later | ||
AI Services | ||||
Bedrock | ||||
Sagemaker | ||||
Augmented AI | ||||
Rekognition | ||||
Textract | ||||
DeepComposer | ||||
Supporting Services | ||||
OpenSearch | ||||
S3 | ||||
Lambda | ||||
Glue | ||||
Add-Ons | Cybersecurity Data Privacy Annual reviews Platform improvements Operations Billing Included in all packages:
|
Azure ML Features | AWS ML Features | |
---|---|---|
Automated ML-Pipeline | AutoML is implementable from azure python package in train register step | AutoML is triggered by newly uploaded train package in code.siemens |
Model Registry |
|
|
Feature Store | Azure ML managed Feature Store | SageMaker Feature Store |
Experiment Logging | MLflow in Azure ML Studio | MLflow Logging |
Pipeline Orchestration | Azure ML Studio | SageMaker Pipeline / Step Function |
Managed Online Endpoints | ML Studio Endpoints | SageMaker Endpoints |
Managed Batch Endpoints | None currently | None currently |
Retraining |
|
|
Viz Of Pipelines | ML Studio | SageMaker Pipeline |
Monitoring | ML Studio native | SageMaker Monitoring Feature |
Alerts | Cloud Watch | |
Hyperparameter optimization | SageMaker Hyperparameter Tuning | |
Endpoints traffic logging | Azure native logging | SageMaker native Logging with Cloud Watch |
Data Drift |
| SageMaker Data Monitoring Feature |
Model Drift | ML Studio Monitoring | SageMaker Model Monitoring |
Azure Non-ML Features | AWS Non-ML Features | |
---|---|---|
Codebase | code.siemens | code.siemens |
CI/CD | Gitlab CI/CD | Gitlab CI/CD |
Branch Strategy | Dev and Prod branches | Dev and Prod branches |
Number of Environments | 2 Environments | 2 Environments: separated terraform workspaces |
Data Integrations | Snowflake Connector | Snowflake Connector |
Package Management | conda | poetry |
Dockers | Containers in Gitlab runner for unit tests, linting etc. | Containers in Gitlab runner for linting and training / deployment images publishing. |
Webhooks | Not currently | Not currently (consider MLflow Model Registry Webhooks) |
Code Quality | Pre-commit hooks | Pre-commit hooks |
Auto Scaling Clusters | None currently | None currently |
Role based Access Control | AWS IAM | |
Data Versioning | Third Party (DVC, Snowflake) | Third Party (DVC, Snowflake) |
The Scoring engine provides automated scoring of data records to support your data-driven decision making. The engine can process large volumes of data in real-time and replace manual and repetitive scoring tasks.
Siemens KPI Forecast is an AI product based on the Siemens Data and AI Cloud to make predictions about future KPIs.
The interface for all GenAI solutions in Siemens. A secure, user-friendly, and collaborative platform designed for Siemens Employees. SiemensGPT is the successor of ai attack OpenAI Playground - Register Here
The anomaly detection product is a web-based application that provides a general anomaly detection procedure for quicker and more efficient detection of unusual patterns.
The Scoring engine provides automated scoring of data records to support your data-driven decision making. The engine can process large volumes of data in real-time and replace manual and repetitive scoring tasks.
Siemens KPI Forecast is an AI product based on the Siemens Data and AI Cloud to make predictions about future KPIs.
The interface for all GenAI solutions in Siemens. A secure, user-friendly, and collaborative platform designed for Siemens Employees. SiemensGPT is the successor of ai attack OpenAI Playground - Register Here
The anomaly detection product is a web-based application that provides a general anomaly detection procedure for quicker and more efficient detection of unusual patterns.
The Scoring engine provides automated scoring of data records to support your data-driven decision making. The engine can process large volumes of data in real-time and replace manual and repetitive scoring tasks.
Siemens KPI Forecast is an AI product based on the Siemens Data and AI Cloud to make predictions about future KPIs.
The interface for all GenAI solutions in Siemens. A secure, user-friendly, and collaborative platform designed for Siemens Employees. SiemensGPT is the successor of ai attack OpenAI Playground - Register Here
The anomaly detection product is a web-based application that provides a general anomaly detection procedure for quicker and more efficient detection of unusual patterns.
The Scoring engine provides automated scoring of data records to support your data-driven decision making. The engine can process large volumes of data in real-time and replace manual and repetitive scoring tasks.
Siemens KPI Forecast is an AI product based on the Siemens Data and AI Cloud to make predictions about future KPIs.
The interface for all GenAI solutions in Siemens. A secure, user-friendly, and collaborative platform designed for Siemens Employees. SiemensGPT is the successor of ai attack OpenAI Playground - Register Here
The anomaly detection product is a web-based application that provides a general anomaly detection procedure for quicker and more efficient detection of unusual patterns.
The Scoring engine provides automated scoring of data records to support your data-driven decision making. The engine can process large volumes of data in real-time and replace manual and repetitive scoring tasks.
Siemens KPI Forecast is an AI product based on the Siemens Data and AI Cloud to make predictions about future KPIs.
The interface for all GenAI solutions in Siemens. A secure, user-friendly, and collaborative platform designed for Siemens Employees. SiemensGPT is the successor of ai attack OpenAI Playground - Register Here