TesboFlow

Up to 1000× Faster CFD

GPU-native, results back in minutes. The whole pipeline runs on the GPU.

Target order of magnitude · typical engineering cases

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Real TesboFlow result · Ahmed body wake
tesboflow — terminal
tesbo@gpu-node:~$
GPU Clusteraggregate util 0%
GPU 0
0%42°C
GPU 1
0%42°C
GPU 2
0%42°C
GPU 3
0%42°C

TesboCFD · Target

Performance

0

Speedup

0

Native Solver

0

Typical Simulation

TESBOLBM · MEASURED

Casting simulation, at GPU speed

See the benchmark
451×

Against one CPU core

1851 MLUPS on a single Tesla V100 against 4.1 MLUPS on one core of the same machine.

55×

Against the whole CPU node

The same GPU run against all 18 cores of that machine under MPI, at 33.9 MLUPS. This is the figure we quote.

40.5×

On the heat conduction kernel

5422 MLUPS against 134 MLUPS on 36 CPU threads, both sides running the same arithmetic.

One machine, one Tesla V100, same kernel on both sides — nothing scaled or extrapolated. The node figure is far below the single-core ratio because the CPU itself only gains 8.3× across its 18 cores: lattice Boltzmann is bound by memory bandwidth, not clock speed.

Compute Faster

GPU-Native Architecture

TesboFlow runs the entire CFD pipeline on GPU — mesh, solver, linear algebra, post-processing. No CPU bottleneck. No data transfer overhead. Pure parallel computation.

  • No CPU bottleneck
  • Massive parallelism
  • High memory bandwidth

The same GPU-native approach carries TesboLBM: mould filling and solidification also run start to finish on the GPU.

Explore TesboFlow

Why TesboFlow

Engineered for the limits of modern GPU architecture, breaking the boundaries of traditional computational fluid dynamics.

Extreme Speed

Complete in minutes what traditionally takes days on CPU clusters. Up to 1000× faster simulation.

up to

1000×

GPU-Native

Built from the ground up for GPU. No CPU-to-GPU porting — pure parallel architecture.

GPUstep 001
  1. Mesh and geometry
  2. Equation assembly
  3. Linear solve
  4. Fields and output
CPUnot re-entered during the step
Streamlines through a three-dimensional lid-driven cavity solved by TesboFlow, swept into tubes and coloured by a nonlinear velocity scale.

AI-Ready

Designed for integration with AI-driven design workflows and neural acceleration pipelines.

Solver output at 64³ — the kind of field the models train on

Ahmed body · turbulent wake · computed on GPU

Interactive fluid dynamics playground

Real-time Navier-Stokes Wind Tunnel

Test fluid mechanics in real time directly in your browser. Choose a preset airfoil, a cylindrical vortex-shedding obstacle, or draw custom solid boundaries with your finger to watch vorticity and pressure waves evolve.

TesboAI · AI + CFD research

Intelligence, native to the solver.

Because the engine is GPU-native, models train on its data and run in its memory. Here's a result, not a promise.

Session with TesboAI

you

Run me a lid-driven cavity at Reynolds one hundred — I want the centreline velocity profile

TesboAI

Right — two-dimensional lid-driven cavity, Reynolds 100, lid moving at 1 m/s. I will pull the centreline profile out as well. Starting the run.
2D cavity · Re 100VERIFIED
GPU solver4,000 steps · 6.1 s
Run completed, output intact
Field values valid
Velocity magnitudes plausible
Mass conserved
Converged
Compared against the published reference

relative L2 error 0.194 · tolerance 0.25

A session replayed — asking, changing conditions, comparing runs; every figure computed by the GPU solver.

Neural operatorsPhysics-informed learningReduced-order modelsLLM agents
Explore TesboAI research

Research prototype, in development. A short replay of one real session — the full session is on the TesboAI page.

The GPU era of simulation

Built for speed. Powered by GPU.

Speed isn't a feature — it's what makes simulation usable. When an answer takes minutes instead of days, engineers stop waiting and start exploring. We build for the GPU from the ground up to make that the default.

This will change the world.

— Tesbo, Project Founder

Start Using TesboFlow

Experience GPU-native CFD simulation with TesboFlow.

About TesboCFD

TesboCFD develops next-generation GPU-native CFD technologies for engineering simulation and AI-assisted design.

Tesbo

Tesbo

Developed and maintained by TesboCFD Team
Project Founder & Lead Developer: Tesbo

Research Collaborations & Solver Validation

Tsinghua University
Institute of Mechanics, CAS
University of Shanghai for Science and Technology