Skip to main content
Cloud / Azure / Products / Azure Modeling and Simulation Workbench - Design Env

Azure Modeling and Simulation Workbench - Design Env

Azure Modeling and Simulation Workbench: secure on-demand environment for engineering design and simulation with chambers, compute and license servers.

compute
Pricing Model Pay-as-you-go (consumption): chamber SKU, 10-packs of user licenses, storage, compute as pass-through
Availability Selected regions incl. EU (Sweden Central)
Data Sovereignty EU region Sweden Central available
Reliability N/A SLA

What is Azure Modeling and Simulation Workbench?

Azure Modeling and Simulation Workbench is a fully managed, secure on-demand environment for engineering design and simulation. Instead of assembling an HPC environment from VMs, a scheduler, license servers, storage, networking and access controls by hand, the service provisions these building blocks automatically. The core architectural unit is the chamber: an isolated, secure environment where teams run their engineering applications and manage workloads.

The service solves a concrete problem in contract and collaboration engineering: setting up a secure design environment often takes weeks, and working across company boundaries puts intellectual property at risk. Azure Modeling and Simulation Workbench reduces setup to hours and protects each party’s IP through two-way privacy. Its primary domain is semiconductor and EDA (electronic design automation) development.

Core features

  • Chambers: Isolated, secure network environments where teams run engineering applications. Two-way privacy keeps each team’s IP separate, while shared storage volumes enable controlled collaboration.
  • Workload-specific compute: VM options across General Purpose, Compute Optimized and Memory Optimized, plus a scheduler and license servers for EDA tools, so the environment matches the workload at hand.
  • High-performance storage: Private and shared storage with high availability and scalability, built on Azure NetApp Files. Capacity and performance tiers are adjustable.
  • Secure access: Authentication and role-based permissions through Microsoft Entra ID. Connectors provide access via VPN, Azure ExpressRoute or allowlisted IP addresses, with no direct internet connectivity to the chamber.

Typical use cases

Semiconductor and EDA design: Chip development teams run compute-intensive design, simulation and verification workloads in dedicated chambers. The service targets this domain and is backed by the Azure MSWB Alliance Program with members including Cadence, Intel, NetApp, Siemens and Synopsys.

Secure multi-vendor collaboration: Multiple partners work on a shared design without exposing their intellectual property. Two-way privacy separates each team’s IP, while shared storage volumes enable targeted exchange for joint debug or co-development.

On-demand engineering environments: Organizations with fluctuating project loads spin up design environments at short notice and set chambers to idle once work is done. Costs then accrue only for active usage.

Benefits

  • Fast provisioning: design environment setup reduced from weeks to hours
  • IP protection through isolated chambers and two-way privacy during collaboration
  • Consumption-based billing with daily aggregation and an idle option for chambers
  • EU data residency via the Sweden Central region

Integration with innFactory

As a Microsoft Solutions Partner, innFactory supports you with the adoption and operation of this service.

Typical Use Cases

EDA and semiconductor design (chip development)
Secure multi-vendor R&D collaboration
On-demand HPC for simulation and verification
IP-protected engineering environments for contract design

Frequently Asked Questions

What is Azure Modeling and Simulation Workbench?

Azure Modeling and Simulation Workbench is a fully managed, secure on-demand environment for engineering design and simulation. It bundles workload-specific VMs, a scheduler, license servers, remote access, high-performance storage and access controls into isolated chambers. Automated provisioning reduces the setup of a design environment from weeks to hours.

When should I use Azure Modeling and Simulation Workbench?

The service suits compute-intensive engineering workloads such as semiconductor and EDA design, where multiple teams or partners collaborate and intellectual property must stay protected. Typical scenarios are chip development, joint verification and multi-vendor design flows with controlled data exchange.

How much does Azure Modeling and Simulation Workbench cost?

Billing is consumption-based: per deployed chamber SKU, per 10-pack of user licenses per chamber and per storage unit consumed. The compute resources used are billed as pass-through. Charges aggregate on a daily active-usage rate until a chamber is set to idle or removed.

How does the service protect intellectual property during collaboration?

Each chamber is an isolated, secure environment. The model supports two-way privacy between collaborating parties: each team's IP stays protected in its own chamber, while shared storage volumes enable controlled collaboration. Access runs through Microsoft Entra ID, role-based permissions and connectors via VPN, Azure ExpressRoute or allowlisted IP addresses with no direct internet connectivity to the chamber.

Microsoft Solutions Partner

innFactory is a Microsoft Solutions Partner. We provide expert consulting, implementation, and managed services for Azure.

Microsoft Solutions Partner Microsoft Data & AI

Similar Products from Other Clouds

Other cloud providers offer comparable services in this category. As a multi-cloud partner, we help you choose the right solution.

AWS

AWS Lambda durable functions - Stateful Workflows

AWS Lambda durable functions: stateful, multi-step workflows with checkpointing, runtimes up to one year, and no compute …

Pricing Pay-per-use (standard Lambda: requests + …
SLA 99.95% (AWS Lambda SLA)
Compare →
AWS

AWS Lambda Managed Instances - Functions on EC2

AWS Lambda Managed Instances runs Lambda functions on dedicated EC2 compute: predictable performance, up to 32 GB …

Pricing Pay for EC2 compute (instance-hours), …
SLA N/A
Compare →
Google Cloud

Cloud Run - Serverless Container Platform

Cloud Run: Serverless container platform on Google Cloud. Scale-to-zero, pay-per-use, GPU for AI inference, worker …

Pricing Pay-per-use (100ms granularity) or …
SLA 99.95% monthly availability
Compare →
Google Cloud

Cloud Run worker pools - Pull-Based Background Work

Cloud Run worker pools: serverless resource for non-HTTP, pull-based workloads from queues like Pub/Sub and Kafka, with …

Pricing Pay-per-use, resource-based (vCPU plus …
SLA 99.95% (Cloud Run SLA)
Compare →
Google Cloud

Google Axion Processors - Arm-Based CPUs for Compute Engine

Google Axion are Google's own Arm-based CPUs for Compute Engine, offering up to 50% better performance per watt than …

Pricing Pay-per-use (same models as Compute …
SLA 99.9%
Compare →
STACKIT

STACKIT Run Command

STACKIT Run Command enables secure remote execution of scripts and commands on STACKIT Compute Engine instances without …

Pricing Included in Compute Engine
SLA 99.9% availability
Compare →

38 comparable products found across other clouds.

Ready to start with Azure Modeling and Simulation Workbench - Design Env?

Our certified Azure experts help you with architecture, integration, and optimization.

Schedule Consultation