Compute
Accelerate WRF execution
Move heavy physics-based forecast workloads onto GPU-accelerated infrastructure so runs finish sooner.
AceCAST
GPU-accelerated WRF for forecasts that need to arrive in time to matter.
AceCAST brings NVIDIA GPU acceleration to Weather Research and Forecasting workflows, helping teams run high-resolution simulations faster while preserving the model detail their decisions depend on.
- Acceleration
- 9x
- Resolution Path
- 1 km
- Model Foundation
- WRF
Core AceCAST performance story for GPU-accelerated WRF workflows.
Built for high-resolution domains where model detail affects decisions.
Weather Research and Forecasting workflows accelerated for production use.
Standard WRF
CPU workflow
AceCAST GPU
Accelerated
NVIDIA GPU acceleration
High-resolution atmospheric simulations
Operational forecasting workflows
WRF-compatible model acceleration
What AceCAST Changes
Keep the WRF science. Change the operational clock.
AceCAST is for teams that already understand the value of physics-based forecasting but need faster turnaround, higher-resolution domains, or more practical production economics than traditional CPU-only runs can support.
Resolution
Keep useful forecast detail
Support high-resolution workflows where spatial detail, timing, and local gradients matter to the user.
Operations
Fit production cadence
Help forecasting teams refresh outputs, test scenarios, and support recurring decision windows more practically.
Delivery
Connect to downstream products
Turn accelerated forecast output into dashboards, risk scoring, custom datasets, and operational feeds.
Performance Story
The benchmark matters because the forecast window is always closing.
AceCAST is not acceleration for its own sake. Faster WRF execution gives teams more room to refresh runs, test configurations, preserve high-resolution detail, and deliver output while it can still change the decision.
Runtime Comparison
CPU to GPU path
A shorter runtime changes what a forecast team can attempt before the operational deadline arrives.
What changes operationally
9x
More headroom before deadline
Large runtime gains can turn a single slow run into a more practical operating cycle.
GPU
Compute matched to the workload
NVIDIA GPU acceleration helps heavy WRF workloads use parallel compute more effectively.
WRF
Continuity for meteorology teams
Teams can focus on domains, physics, cadence, and delivery without abandoning familiar WRF workflows.
Operational Fit
Built for teams that need forecast compute to become a workflow advantage.
AceCAST supports teams that need physics-based model output to move faster through research, planning, validation, and production delivery.
Renewables
Wind and solar planning
Run higher-resolution forecasts for generation, ramp risk, and operational planning windows.
Forecast Teams
Regional model operations
Refresh high-resolution domains faster and support more practical recurring forecast cycles.
Research
Scenario and sensitivity work
Test configurations and cases without waiting through traditional CPU-only turnaround times.
Data Products
Downstream weather intelligence
Feed custom weather datasets, visual products, risk models, and operational decision systems.
Client ValidationWind-energy validation without treating speed as a shortcut.
Veer Renewables evaluated AceCAST against traditional WRF output for wind forecasting. The validation story is not just faster runtime; it is faster runtime with output differences small enough to support real operational analysis.
5x
Speed improvement
Low
Output variance
Wind
Energy focus
Mean Wind Speed Difference
Validation graphic from the Veer Renewables analysis comparing WRF and AceCAST outputs.
Deployment Path
From model workload to operational run plan.
AceCAST conversations usually start with the workflow your team already runs: domain size, physics options, forecast horizon, cadence, hardware, and output needs.
01
Profile the run
Domain, resolution, physics, forecast horizon, cadence, and output requirements define the acceleration target.
02
Match compute path
We identify the right product path: AceCAST acceleration, AceCAST Cloud, or a custom production workflow.
03
Validate output behavior
Runtime improvements are reviewed alongside forecast-output differences and the decisions they support.
04
Operationalize delivery
Forecast outputs move into the files, APIs, viewers, dashboards, or recurring workflows your team needs.
Evaluate AceCAST
Request an AceCAST trial license with the context our team needs to review it.
The trial request helps us understand who you are, why AceCAST matters to your work, and how you plan to use it before our team reviews the request.
Trial justification
Organization details
$10 registration fee
Trial Request
What the form asks for.
The request form collects a detailed justification, organization details, intended use case, consultation preference, and the registration fee needed to submit the trial request for review.
Why
Why you are interested in AceCAST and how you plan to use it.
Who
Your name, company email, organization, website, and sector.
Review
Consultation preference, optional notes, and the $10 trial registration fee.