Ansys Cloud’s Post

The evolution of cloud computing and why Ansys Cloud Burst Compute changes the game for photonics and optical design! Cloud computing has grown from a niche IT convenience to a strategic engine of engineering innovation. What began as remote storage and virtualization in the 2000s evolved into on-demand Infrastructure-as-a-Service (#IaaS) and software platforms that let teams scale compute, storage, and software without owning datacenters. Today, engineers run parameter sweeps, high-fidelity physics solves, and GPU-accelerated machine learning (#AI, #ML) all on demand, elastically, and often at lower cost than maintaining local clusters. For simulation-driven design (#Simulation, #Engineering), this is critical. Modern multiphysics and full-wave solvers (#Multiphysics, #FDTD) are computationally intensive. Waiting hours or days for a single run slows iterations, delays validation, and limits innovation. Ansys Cloud Burst Compute removes these bottlenecks, letting teams access massive CPU/GPU capacity when needed, enabling faster design cycles, broader exploration, and earlier risk discovery. Key cloud benefits: Elastic scaling: run hundreds of solves concurrently without large capital expense. #CloudComputing #HPC GPU access: accelerate FDTD and ray-tracing (#RayTracing). Simplified IT: SaaS integration removes complex cluster setup. #SaaS #CloudHPC Cost control: pay-as-you-go models match spend to project needs. Ansys Cloud Burst Compute integrates directly into Ansys products. Engineers launch solver jobs from their desktop to managed cloud resources, keeping the same workflow but with faster turnaround. It supports CPU/GPU instances and uses Ansys credits (#AnsysCloud), requiring no HPC expertise. For Lumerical FDTD: full-wave simulations - waveguides, metasurfaces, plasmonics, VCSELs, grating couplers - can be submitted directly to cloud CPU/GPU resources. Large parameter sweeps and GPU-accelerated solves speed iterations, enabling results in hours instead of days (#Photonics, #OpticalDesign). For Ansys Speos: ray-tracing for illumination, imaging, stray-light, and human-vision-aware analysis can leverage cloud HPC from the Speos UI. Teams can run larger Monte-Carlo sampling, finer resolution, or broader sweeps, improving performance validation (#AutomotiveLighting, #ARVR, #DisplayTech). Final thought: Cloud Burst Compute turns compute from a constraint into an accelerator. Engineers can explore richer designs, validate earlier, and deliver better products faster. For photonics and optical teams using Lumerical FDTD and Ansys Speos, it’s a practical path to GPU-accelerated, on-demand simulation, all inside familiar workflows. Want to get started with Ansys Cloud Burst Compute for Lumerical FDTD? Join our Ansys Optics Deep Dive on October 30th! https://ansys.me/4nYwoBX