Choose a GPU from the model, simulation and deployment stage—not from the newest product name. Compare a pilot configuration before reserving capacity.
No payment is required to submit a request.
Robotics projects do not automatically need B300. H100/H200 often suit perception and compatible simulation workflows; B200/B300 are candidates when model memory, distributed training or Blackwell software support drives a measured requirement.
| Configuration | Best for | Pricing |
|---|---|---|
| H100 / H200 | Robot vision inference and vision-model fine-tuning | Request current pricing |
| H100 / H200 / B200 | Isaac Sim and synthetic data | Request availability |
| B200 / B300 | Large VLA models | Request availability |
| B300 | Model state beyond an H200 memory budget | Reserved quote |
Current capacity, complete configuration and total pricing are confirmed before activation.
Review live pricing, dedicated 8-GPU nodes and current availability for H200 and B300, then compare against your robotics or simulation workload before reserving capacity.
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.
No. Start from software compatibility, model memory and measured runtime. B300 is a candidate when those requirements justify it.
It can be a valid evaluation point when the model and workload fit. Compare real context, batch and training requirements.
Simulation renderer, driver and application requirements need their own compatibility check; do not assume a training choice is automatically a renderer choice.
Yes. Define a 7–14 day pilot with one scene, model or dataset sample and agreed acceptance criteria.
Simulator version, model, precision, scene size, sensors, dataset, target latency and training deadline.
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.
