Accelerators
B300, GB200 NVL72, B200, H200, L40S and MI300X workload options.
Infrastructure / Compute factory architecture
AI Cloud & Cluster
Infrastructure.
AI cloud servers become a production cluster when accelerators, scheduling, shared storage and high-speed networking work together. Cooling, power and monitoring sustain the workload beyond the first run.
10,000+GPUs installed + contracted
30,000deployable GPU envelope
17.83 PBproduction high-performance storage
100 MWcompute-ready capacity
6operational data centers
01 / Production stack
Six layers.
One performance envelope.
Every layer is sized against the same workload target, from memory bandwidth to megawatts.
Scale-up fabric
High-bandwidth interconnects make multiple accelerators behave as one compute domain.
Scale-out network
800G-class networking carries model, storage and checkpoint traffic across the estate.
high-performance storage
17.83 PB of production high-performance storage across parallel and object tiers.
Thermal systems
Direct-to-chip liquid cooling and facilities engineered for 58 kW sustained rack density.
Operations
24×7 NOC and SOC coverage, resource telemetry, scheduling and incident escalation. AIOps-led monitoring and service commitments are scoped per engagement.
02 / Capacity path
Scale without
re-platforming.
The supplied presentation describes reference capability and a proposed expansion path, not live cloud availability or confirmed cluster inventory. Milestones and deployment scope require confirmation for each engagement.
Now10K+Installed + contracted
Q1 202720KExpansion milestone
H2 202730KEnvelope milestone
202845KRoadmap horizon
