What buyers need to know
Simulation and robot inference are different workloads. A compatible RTX configuration may be appropriate for rendering, while training and VLA work can require a separate GPU plan, storage budget and acceptance test.
Plan simulation, synthetic data and robot-learning compute around your Isaac Sim version, renderer and delivery stage. Start with a scoped 7–14 day pilot.
No payment is required to submit a request.
Simulation and robot inference are different workloads. A compatible RTX configuration may be appropriate for rendering, while training and VLA work can require a separate GPU plan, storage budget and acceptance test.
| Configuration | Best for | Pricing |
|---|---|---|
| RTX PRO / L40S | Single-GPU simulation and scene development | Request availability |
| H100 / H200 | Robot learning and memory-heavy jobs | Request availability |
| Multi-GPU pilot | Parallel simulation or dataset generation | Pilot quote |
| Dedicated node | Sustained simulation and training | Reserved quote |
Current capacity, complete configuration and total pricing are confirmed before activation.
Share the simulator and version, scene or model, sensors and your target metric. Tell us whether you need rendering, robot learning or both so we can assess separate GPU requirements.
English and Chinese assistance · Australia/APAC business-hours support · No charge before quote acceptance · Infrastructure provider disclosed before activation
One clear path from requirement to a deployable configuration.
Tell Arvica the workload, GPU count, region and start date.
Arvica confirms configuration, capacity and complete charges.
Run a pilot or proceed under a reserved-capacity agreement.
Start with a configuration compatible with your exact Isaac Sim version and renderer; confirm driver and software requirements before quoting.
No. Simulated rendering, on-robot inference and training can have different GPU, latency and storage requirements.
A 7–14 day scope is a common planning range; duration, cost and acceptance criteria are agreed before activation.
Separate scene assets, generated data, model weights and checkpoints. Confirm persistence and transfer costs in the quote.
Yes, after reviewing measured memory, simulation throughput and the next deployment requirement.
A reproducible selection guide for robotics teams: verify version compatibility, freeze one scene and measure simulation quality before scaling.
Download an editable worksheet to agree scope, compare configurations and decide whether to stop, adjust or scale. An evaluation method, not a customer case study.
Choose a rental GPU using model memory, measured throughput and the cost of finishing your workload—not the hardware name alone.
Share the workload and Arvica will prepare deployable options for review.