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Product 03

PharmFast
GPU-Accelerated Execution Engine

Run pharmacometric models at unprecedented speed with GPU-accelerated infrastructure — enabling pharmacometricians to run complex models significantly faster than traditional CPU-based workflows.

10–100x

Faster Model Execution

vs. standard CPU

Unlimited

Parallel Model Runs

scalable cloud compute

1000s

Simulation Throughput

virtual subjects

Key Features

Parallelized Pharmacometric Model Runs

Run multiple pharmacometric models simultaneously across GPU compute units, dramatically reducing total execution time.

GPU-Assisted Numerical Optimization

Harness GPU parallel processing to accelerate the numerical optimization routines that are at the core of parameter estimation.

Faster Model Convergence

Optimized algorithms and GPU compute allow models to reach convergence in a fraction of the time compared to traditional CPU workflows.

Large-Scale Simulation Capabilities

Run thousands of virtual subject simulations in parallel for clinical trial simulation and model evaluation.

See it in action

Load a real control stream and dataset, press Run fit, and PharmFast estimates the model on the GPU in seconds — reproducing NONMEM 7.6 to the last digit. Here, the classic Theophylline model converges in ~3 s with ΔOFV = 0.0001 versus the NONMEM reference.

23 runnable worked examples — every ADVAN, method, and error model.
23 runnable worked examples — every ADVAN, method, and error model.
Converged on GPU with a live NONMEM parity check (ΔOFV = 0.0001).
Converged on GPU with a live NONMEM parity check (ΔOFV = 0.0001).
Parameter estimates with SE / %RSE from the diagnostics run.
Parameter estimates with SE / %RSE from the diagnostics run.

Built for Complex Modeling Challenges

Whether you are running population PK/PD models, PBPK simulations, or large-scale clinical trial simulations, PharmFast eliminates the computational bottleneck that slows down iterative model development cycles.

Ready to accelerate your modeling?

Contact us to learn more about PharmFast and our GPU-accelerated execution infrastructure.

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