Coloq

GPU as a Service

Train faster, infer smarter, and scale on demand — sovereign GPU compute across African data centers, built for enterprise AI workloads.

GET A QUOTERESERVE GPU CAPACITY
Sovereign Cloud

Dedicated GPU Resources. No Compromise.

Dedicated NVIDIA H200 GPUs with hardware-level MIG isolation — your workloads get predictable performance on sovereign African infrastructure, unaffected by other tenants.

Orchestrated with NVIDIA AI Enterprise and backed by Siscom's 24/7 NOC, remote hands, and data residency controls.

GPU servers with hourly usage monitoring in a data center

On Demand

On-Demand is the most flexible way to access H200 GPU power through Siscom Coloq. Pay only for the compute time you use — billed by the hour — with no upfront costs or long-term contracts.

This plan is best suited for:

  • New customers exploring the platform without a long-term commitment.
  • Businesses with unpredictable workloads that need to scale up or down.
  • Developers and researchers running short-term tests and model prototyping.
Dedicated reserved GPU rack in a secure data center cage

Reserved

Reserved capacity lets you commit to a specific amount of H200 GPU compute for 1- to 5-year terms at a substantially discounted hourly rate — with guaranteed availability for your workloads on sovereign African infrastructure.

This plan is best suited for:

  • Businesses with stable production workloads running around the clock.
  • Budget-conscious organisations that need predictable, manageable costs.
  • Companies with mission-critical AI applications that cannot afford downtime.
Available spot GPU capacity on idle server bays in a data center

Spot

Spot instances tap into unused GPU capacity at the lowest rates. Capacity can be reclaimed with short notice when reserved for On-Demand or Reserved customers — the most cost-effective path to H200 compute.

This plan is best suited for:

  • Cost-sensitive projects such as startups or academic research on tight budgets.
  • Fault-tolerant tasks that can pause and resume, such as batch rendering or simulations.