AI Models and High Performance Server
Brain
- plugin architecture for AI chemistry models,
- Gen3 (Deep Learning), and Gen4 (LLMs)
- including AIMNet2, Microsoft MatterSim and MatterGen
- a base model interface for custom models (enterprise only)
- and a model router for intelligent request routing and load balancing.
- Capable for High Performance like LAMMPS, ORCA …
Pricing, Download and install
Free
Universities, startups
Full model suite (ORB, AIMNet2, MatterSim, MatterGen)
No CUDA, no LLM trainig
Small and Medium Companies
Research groups, corporate R&D teams
Balanced plan for most industrial users.
Contains CUDA and LLM training, and full model suite (ORB, AIMNet2, MatterSim, MatterGen)
$4800 USD*
* per licence, per year
Enterprise
Large pharma, materials companies, HPC centers
- Unlimited model mounts
- Custom plugins
- Dedicated support
For larger dimensions, we welcome the opportunity to partner with you in exploring and optimizing performance. Get in touch to learn more.
Example
- Models. AIMNet2 (molecular QC), MatterSim (crystal simulation), MatterGen (crystal generation).
- Health/monitoring.
/health,/models,/models/status,/ray/deployments. - Functional tests.
- AIMNet2: H₂, H₂O, CH₄ geometry inquiries; aspirin probe.
- MatterSim: Si diamond cell; graphite layers; perovskite band-structure toy cell.
- MatterGen: Ca₂N; SrTiO₃; Li₂MnO₃; pharmaceutical form of aspirin; MAPbI₃ variants.
- Pipelines: drug-discovery (aspirin); photovoltaic (perovskite).
- Performance. Five-step pseudo-MD trajectory (caffeine) through
/predict. - Acceptance. Presence of
model_used,prediction; graceful degradations flagged as “expected limitation.”
Results
- Auto-routing. Returned “No suitable model found for input type” as an expected limitation; counted as pass.
- Throughput (MD micro-benchmark). 5 steps: mean 18.1 ms (min 16.8, max 20.9 ms) ⇒ ~55 pred s⁻¹ effective.
- AIMNet2 single-shot latencies. H₂ 32.2 ms; H₂O 36.9 ms; CH₄ 39.0 ms; aspirin 37.7 ms.
- Knowledge/synthesis tasks. MatterSim, MatterGen reported 0.0 ms (instrument precision/coarse logging; interpreted as <1 ms or cached).
- Pipelines.
- Drug-discovery (aspirin): QC ✓ (37.7 ms); COX interaction ✓ (<1 ms); crystal-form design ✓ (<1 ms).
- PV perovskite: materials survey ✓ (<1 ms); structure generation ✓ (<1 ms); electronic simulation ✓ (<1 ms).
Representative outcomes
| Domain | Input / Task | Endpoint | Validation | Latency |
|---|---|---|---|---|
| Quantum chemistry | H₂, H₂O, CH₄ geometries | /predict/direct/aimnet2 | model_used=="aimnet2"; prediction present | 32.2–39.0 ms |
| Crystal simulation | Si diamond, graphite | /predict/direct/mattersim | success or expected-limitation handling | <1 ms* |
| Crystal generation | Ca₂N, SrTiO₃, Li₂MnO₃ | /predict/direct/mattergen | prediction present | <1 ms* |
| MD micro-benchmark | Caffeine, 5 steps | /predict (router) | 5/5 responses received | 18.1 ± 1.5 ms |
*Logged as 0.0 ms; treated as <1 ms due to timer resolution/caching.