March 2027Starts Now.
Next-generation AI infrastructure is already being allocated.
The future can't run
on a waitlist.
AI roadmaps move fast.
Infrastructure decisions cannot start when the workload is already waiting.
Capacity, power, deployment and access to next-generation compute need to be planned ahead.
Vera Rubin is coming.
Capacity planning starts now.
The next generation of AI compute changes more than performance.
It changes the density, infrastructure footprint and economics required to run AI at scale.
- 01 · Platform
- Vera Rubin NVL72
- 02 · Target Delivery
- March 2027
- 03 · AI Infrastructure
- Next-Generation
Machines,
Measured.
Infrastructure decisions should be built on measurable systems, not abstract promises.
- 01HBM4 / GPU
- 288 GB
- 02Memory Bandwidth / GPU
- 22 TB/s
- 03NVLink 6 / GPU
- 3.6 TB/s
- 04ConnectX-9 / GPU
- 1.6 Tb/s
- 05Rubin GPUs / Rack System
- 72
- 06Vera CPUs / Rack System
- 36
- 07Target Delivery
- March 2027
Before the model,
the machine.
AI may begin with a model. Production depends on infrastructure.
Capacity
Compute planned ahead of demand.
Power
Infrastructure designed for high-density AI workloads.
Bare Metal
Dedicated infrastructure built around the workload.
Scale
Built for enterprise AI requirements.
Infrastructure for
what AI needs next.
Training
Large-scale model training and fine-tuning.
Inference
High-performance production inference.
AI-Native Products
Infrastructure for products where compute is core to the business.
Enterprise AI
Dedicated infrastructure for critical workloads.
Plan capacity
before you need it.
Tell us what you are building, when you need infrastructure and the scale you are considering.
Discuss CapacityWhat are you planning?
Tell us what you are building, when you need capacity and what scale you are considering.