AI-native engineering simulation powered by distributed GPUs
Joined November 2025
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42 Photos and videos
Pinned Tweet
May 21
The repo's been quiet because it was private.
Today: SIMD Agent is open source.
𧡠what it does why we're doing this
github.com/simd-ai/agent
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May 22
Wrote up the why behind it β
simd.space/blog/open-sourcinβ¦
(roadmap also got a refresh)
May 21
The repo's been quiet because it was private.
Today: SIMD Agent is open source.
𧡠what it does why we're doing this
github.com/simd-ai/agent
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May 21
The repo's been quiet because it was private.
Today: SIMD Agent is open source.
𧡠what it does why we're doing this
github.com/simd-ai/agent
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May 21
3/
You describe the physics: "compressible flow through this Z-bend at 500 K, walls at 600 K, k-omega SST".
You drop in a mesh (.msh).
The agent picks the solver, sets up schemes, infers BCs from patch names, runs the case, streams residuals back. Self-heals on solver error.
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May 21
4/
Built on @openfoam , @GoogleAI 3.5 Flash 3.1 Pro, and a stubborn conviction that simulation should be a paragraph of intent.
If you've been waiting to see the code, it's here:
github.com/simd-ai/agent
PRs, harsh critique, and "did you consider X" all welcome.
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Apr 28
Shape is now on arXiv.
A geometry foundation model for 3D meshes, built toward AI-native engineering simulation.
Link: arxiv.org/abs/2604.22826
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Apr 27
Join us live today π
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Apr 20
First day at Ojin house with the team π‘
Sam, Adi and Bayang, letβs see where this goes
@Ojin_AI
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Apr 14
Announcing Shape v2: a self-supervised 3D geometry foundation model for industrial CAD π§
Trained on 61,052 CAD meshes (Thingi10K MFCAD Fusion360) with masked-token reconstruction contrastive learning.
Try it live β shape.simd.space
Blog β simd.space/blog/shape-foundaβ¦
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Apr 14
How it works: we treat latent tokens like LLM tokens. Mask 50% of the mesh's geometry, predict the rest from surrounding context.
Results on held-out val (N = 2,983):
β RΒ² = 0.729 (reconstruction)
β 98.1% top-1 contrastive retrieval
β train/val gap β 0
Weights: huggingface.co/bayang/shape-β¦
Thanks to @wandb for the tracking.
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Apr 14
Every prediction comes with a per-token attribution heatmap, because in industrial engineering, "trust me, the model said so" isn't acceptable.
v2 is 10M params. Medium (~300M) and large (~1B) are next.
Code: github.com/simd-ai/shape-v2
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Apr 8
We shipped 30 changes to SIMD Agent this week, all driven by real tester feedback.
They said the wizard had too many steps, we cut it from 3 to 2.
They said switching between chat and simulation was confusing, we made it seamless.
They said the UI felt slow, we eliminated every loading screen.
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Apr 8
Every commit tagged "feedback" in our dev-updates discord, came from watching someone use the product and fixing what slowed them down.
Try it β agent.simd.space
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Mar 31
March surprise: SIMD Agent is now free for 2D simulations.
No subscription. No catch. Just upload your mesh and run.
Solver selection, boundary conditions, and convergence tracking. The AI agent handles it.
Go run something: agent.simd.space
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Mar 30
We just published the first documentation for the SIMD Agent.
Describe your CFD sims in plain language, upload a mesh, and the agent handles everything: solver selection, boundary conditions, case file generation, and live convergence monitoring.
Docs: simd.space/docs
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Mar 30
New in the solver pack -> 6 single-phase solvers:
- simpleFoam,
- pimpleFoam,
- rhoSimpleFoam,
- rhoPimpleFoam,
- buoyantSimpleFoam,
- buoyantPimpleFoam
- 5 multiphase VOF solvers
And automatic custom fluid configuration for cryogenic and non-standard fluids from NIST data.
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Mar 30
Want to run a 3D CFD simulation? Talk to us.
We're onboarding early users who want to test the full pipeline: prompt to results, with live convergence and 3D field visualization.
DM us or reach out at simd.space
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Mar 20
We're building an AI that understands 3D geometry before simulating it.
Here's how Shape works and why symmetry detection changes everything for CFD β
youtu.be/ECAE9blk_NQ
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Mar 20
5/ This is the key to making SIMD's agent fully autonomous. Upload a CAD file β the agent understands the geometry β detects symmetry β reduces the domain β meshes it β simulates it β maps results back to the full geometry.
No manual setup.
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