SPARK AITalk to engineering ↗
03 / SPARK COMPUTE

The data and compute center
under your AI strategy.

SPARK operates a capacity layer for the full model lifecycle: data preparation, training and adaptation, low-latency serving, and dedicated customer environments.

Explore the compute fabric ↓
Illustrative high-density accelerator infrastructure
REFERENCE ARCHITECTUREACCELERATOR CAPACITY LAYERFINAL HARDWARE DISCLOSED IN PROPOSAL
COMPUTE / CONTROLLED CAPACITY

Capacity is part
of the product.

SPARK designs the serving path around documented accelerator types, workload isolation, region, capacity source, and telemetry. Hardware quantities and data-center locations are disclosed only when verified for a specific deployment.

  • Dedicated allocationHardware profile and tenancy are stated in the order form.
  • Reserved capacityAvailability is subject to confirmed supplier or facility allocation.
  • Private boundariesNetwork, data, and access controls are shaped for each deployment.
HARDWAREDISCLOSED

accelerator profile per proposal

CAPACITYSCOPED

elastic / dedicated / reserved

REGIONSELECTED

documented deployment boundary

SERVICEDEFINED

contract-specific operations plan

ONE CONTROL PLANE / THREE DEPLOYMENT MODES
01

Shared inference

Elastic access for published SPARK models and approved workloads.

02

Dedicated serving

Isolated hardware, performance controls, and secure endpoint ownership.

03

Private grid

Customer-specific network and operational boundaries for regulated workloads.