AceCAST: GPU-Accelerated WRF
Modeling Platform
Process Weather Research & Forecasting (WRF) models 9x faster with NVIDIA GPU acceleration. Run high-resolution atmospheric simulations at 1km resolution in production environments with enterprise-grade performance.
Traditional CPU Processing
Lower resolution • Slower processing • Limited scalability
GPU-Accelerated Performance
1km resolution • 9x faster • Enterprise-ready
Trusted by Industry Leaders
Powering next-generation weather intelligence through strategic partnerships with technology innovators
NVIDIA
GPU Computing Platform
Microsoft Azure
Cloud Infrastructure
Research Institutions
Scientific Collaboration
"High-quality weather forecasts require a tremendous amount of computing speed. We look forward to continued collaboration with TempoQuest that will bring further breakthroughs to the weather modeling community."
Stan Posey
Program Manager, Earth System Science, NVIDIA
The Winds of Tomorrow
How Veer Renewables transformed their wind energy forecasting with AceCAST's GPU acceleration
Technical Validation Results
Mean wind speed difference analysis between WRF and AceCAST demonstrates minimal variance while achieving 5x performance improvement
Comprehensive analysis demonstrates minimal variance between traditional WRF and AceCAST GPU-accelerated simulations, scientifically validating accuracy while achieving breakthrough 5x speed improvement for production environments.
"AceCAST is the product of over five years of rigorous R&D at TempoQuest and empowers WRF users to achieve striking performance optimizations using the massive parallelism of GPU hardware versus traditional CPUs. Performing at roughly five times the speed of CPU-based WRF simulations, AceCAST offers an effortless drop-in alternative to the conventional WRF workflow."