01
Expert Engineers
Specialists familiar with simulation and AI workloads help design and support the environment.
HPC Cloud for AI and Engineering Simulation
Start the compute resources you need without spending time on complex infrastructure setup.
02
High Performance
High-performance CPU and GPU resources with optimized networking keep large jobs fast and stable.
03
Security
Modern encryption and access control help protect project data and sensitive industrial assets.
04
Ready-to-use
Provisioned environments let users start analysis and simulation without setup delays.
Virtual Labs
Accelerate compute-heavy workloads
Virtual Labs is built for AI, DX, CAE, CFD, rendering, and data analysis workloads. With expert engineering support and ready-to-use environments, teams can spend less time on infrastructure setup and more time on execution.
RESOURCE
Computing
From general compute to high-performance and high-memory options, CPU resources cover a broad range of jobs.
Intel Xeon Scalable based workloads
RESOURCE
Graphics GPU
Choose T4, A10G, L4, or L40S class resources for visualization and GPU-accelerated work.
Modeling, rendering, and simulation acceleration
RESOURCE
AI GPU
Build AI environments around V100, A100, H100, or H200 GPUs for training and inference.
Linux-first AI compute environments
RESOURCE
Workstation / Cluster
Run everything from interactive analysis to large-scale parallel jobs with the right execution model.
Flexible scaling by project size
Resource Portfolio
Pay-per-use
Choose workstation or cluster resources based on workload size and turnaround time. Charge only the time you need, keep usage periods flexible, and control cost around actual project demand.
CPU
GPU
Memory
Cluster
WORKSTATION
Fast single-job execution
Suitable for development, model review, visualization, and small-to-mid scale jobs.
CLUSTER
Scale for parallel workloads
Expandable resources for demanding simulation and AI training workloads.
Pay-per-use
- Top-up pricing that charges by actual runtime
- Cost structure aligned to real demand instead of fixed long reservations
- Workstation and cluster resources compared in one service flow
Use Cases
Compute environments built for real workloads
From AI experimentation to simulation analysis, Virtual Labs supports a wide range of compute-intensive work.
AI and DX
Fit for training, inference, preprocessing, and proof-of-concept work where GPU access speed matters.
Engineering Simulation
Supports CAE, CFD, structural analysis, and thermal or fluid workloads that need stable high-throughput compute.
Visualization and Rendering
Use graphics GPU resources to run remote visualization, rendering, and model review workloads.
SOFTWAYS + VIRTUAL LABS
Start the right compute environment with Virtual Labs
Review resource options and pricing for your workload, then continue straight into consultation if needed.
AI and DX
CAE
CFD
Rendering
Data Analytics
R&D
QUICK ACCESS
Check the service overview and resource options, then continue directly into consultation when needed.
Review resource options for AI, simulation, and data analytics, then move directly into adoption planning.