Infrastructure availability varies by region and configuration · Infrastructure reference ↗ Region and total deployment cost confirmed in your Arvica quote.
Who this is for
For teams planning a new large-model deployment or evaluating a move to B200, where platform compatibility and cluster design matter alongside GPU choice.
SCOPE YOUR DEPLOYMENT
The details that make a quote useful.
01
Confirm the precise platform
Request the server and GPU configuration, GPUs per node and interconnect details. B200 and other Blackwell-based platforms should not be substituted without reviewing the complete specification.
02
Check your software stack
Provide framework, CUDA and container requirements, model formats and any custom kernels. Agree on compatibility checks and workload acceptance criteria before migration.
03
Plan capacity and rollout together
State the initial node count, scaling milestones, Australian location and start-date flexibility. Request staging, data transfer and reservation terms as part of the proposal.
From requirement to comparable options
Review candidate configurations, full costs and proposed start dates before deciding.
Share your brief
Specify workload, budget, timeline and non-negotiable requirements.
Match the options
Arvica reviews your requirement and prepares suitable compute options and pricing.
Review the quote
Check hardware, location, payment terms and service scope before placing an order.
Questions before you start
Can I book B200 immediately?
Submit the configuration and required date first. Capacity and commercial terms must be confirmed before an order can be activated.
Should I compare B200 with H200?
If your GPU choice is flexible, request both with the same workload targets. Compare the complete deployment cost and evaluation results rather than an assumed performance multiplier.
Explore current products and new platform rollouts. Manufacturer information is not local inventory: pricing, region and delivery dates require confirmation.
Product generation
NVIDIA B300 / Blackwell Ultra
Blackwell Ultra GPU systems for large-model training and reasoning inference. Ask for the precise B300 node, memory allocation and interconnect.
NVIDIA’s successor platform to Blackwell, with partner products announced for the second half of 2026. Request deployment planning and confirmed partner timelines.
Explore MI350X, MI355X and the announced MI350P for AMD-based AI infrastructure. Select the exact variant rather than treating the family as one configuration.
AMD’s new family includes MI455X for frontier AI and MI430X for HPC. Helios is a rack-scale solution; procurement must name the exact platform and delivery scope.