GPU Physical Simulation Engine

Every particle.
Every interaction.
Physically correct.

Dynaforge AI is a GPU-native simulation engine — fluid dynamics, rigid bodies, and massive particle systems computed at production scale, with physical fidelity that holds up to scrutiny.

Cloud-native simulation infrastructure designed for elastic GPU scaling.

Each simulation job can scale from a single GPU to distributed multi-node clusters, consuming hundreds to thousands of GPU-hours depending on scenario complexity.

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dynaforge_engine — fluid_sim_preview.scene
Simulation Metrics
100M+ Particles per job
multi-GPU Solver execution across nodes
low-ms Low-latency collision pipeline
100s GPU-hr Per production scenario

Each simulation job can scale from a single GPU to distributed multi-node clusters, consuming hundreds to thousands of GPU-hours depending on scenario complexity.

Architecture

A pipeline
built for
fidelity

Dynaforge AI runs a fully GPU-resident simulation pipeline. Each stage is purpose-built — from scene ingestion and physics modelling to massively parallel solver execution and deterministic replay output — all orchestrated with zero CPU bottlenecks.

01
Scenario Definition
Scene geometry, material properties, boundary conditions, and initial state are parsed and loaded directly into GPU memory — no CPU intermediaries.
02
Physics Modelling
Governing equations are discretised and assembled on-GPU. Fluid viscosity, elasticity tensors, and collision geometries are encoded into solver-ready data structures.
03
Simulation
Massively parallel GPU solvers advance the simulation tick-by-tick — SPH, FEM, and rigid body solvers running concurrently across thousands of CUDA cores.
04
Replay & Output
Simulation state is serialised into deterministic replay files, real-time render streams, or downstream API hooks — with full frame-level reproducibility guaranteed.

Built for
production workloads,
not demos.

Every solver in Dynaforge AI is designed for distributed GPU execution — batch workloads, solver orchestration, and cloud-native simulation pipelines that absorb hundreds of GPU-hours per run without manual intervention.

Fluid Dynamics
SPH and grid-based Navier-Stokes solvers running natively on GPU. Simulate turbulence, surface tension, viscosity, and multiphase flows at billion-particle scale.
Collision Engine
Broad-phase BVH and narrow-phase GJK/EPA collision detection fully parallelised on GPU. Handles millions of dynamic bodies with continuous collision response.
Particle Simulation
Position-Based Dynamics and FLIP solvers for granular materials, smoke, fire, and cloth — all unified under one coherent particle abstraction on the GPU.
GPU Solvers
Iterative linear solvers — PCG, AMGCL, multigrid — mapped directly to CUDA compute graphs. Achieves near-linear scaling across multi-GPU nodes with NVLink.
Rigid Body Dynamics
Constraint-based rigid body solver with articulated joints, motors, and springs. Supports large stacks and stiff structures without numerical instability.
Solver Orchestration
Submit large-scale simulation jobs via REST or gRPC. Distributed GPU compute handles parametric sweeps and batch workloads across multi-node clusters — no manual scheduling.
Applications

Where
Dynaforge
runs.

From engineering simulation infrastructure to autonomous systems research, Dynaforge AI powers GPU-intensive batch workloads that demand physical accuracy at production scale.

Simulation Infrastructure for Engineering & AI
Run large-scale CFD, structural FEM, and multi-physics workloads on a cloud-native simulation pipeline. Teams submit batch jobs and receive deterministic results — no cluster management required.
Engineering / CAE
Robotics & Autonomous Systems
Train reinforcement learning policies in high-fidelity physical environments. Dynaforge AI runs thousands of parallel simulation jobs simultaneously across distributed GPU compute for rapid policy iteration.
Robotics / RL
Scientific Research & HPC
Climate modelling, materials science, and molecular dynamics — research teams access GPU-intensive simulation at cloud scale. Hundreds of GPU-hours per scenario, billed by usage.
Science / HPC
Game Development
Author dense interactive environments — water, sand, snow, and soft bodies — as design-time batch-baked assets or runtime solver workloads, with deterministic replay for multiplayer.
Games
Visual Effects & Feature Film
Replace bespoke Houdini pipelines with a single API call. VFX studios submit destruction, ocean, and pyro simulation jobs at render resolution as part of their existing batch pipeline.
VFX / Film
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Distributed GPU Scheduling Cluster Orchestration Layer CUDA Compute Graphs SPH Solver FEM / FVM Position-Based Dynamics BVH Collision PCG Linear Solver NVLink Multi-GPU FLIP Advection REST / gRPC API
Early Access

Ready to
simulate?

Join the waitlist for early API access. We're onboarding a focused cohort of engineering teams and studios now.

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