Solutions
Hybrid Cloud, Colocation, Private Circuits, GPUs
From hybrid deployments and colocation to GPUs for AI/ML, private circuits, and managed services - explore how MarQi Cloud fits your stack.
Solutions for every stage of scale
Place your hardware in the same zone as your KVM VMs. Keep everything on isolated networks with tagged VLANs/VXLAN. Scale compute elastically; keep specialized hardware close by.
Rack your hardware in our zones—air or liquid cooled. Connect to storage SANs, your virtual estate, and out to your own data centers.
Bring your own circuits or let us help provision. We’ll terminate links in your VPC for private point-to-point communication. Inter-zone traffic uses tier-1 providers only and is encrypted in transit.
A separate compute pool tailored for AI/ML training and inference. Pair with high-IOPS block storage and private circuits for data gravity and speed.
We embed an engineer to design, build, and run your environment. From cluster deployment to HA architecture, monitoring, backups, and upgrades.
Our software engineers build your application end-to-end and host it in MarQi Cloud. We default to distributed databases, distributed storage, and load-balanced, highly available deployments.
Solutions for every stage of scale
Choose the path that fits—from pure virtual compute to hybrid colocation and private circuits.
Choosing between them
Most customers arrive with one of four problems, and the right starting point follows from which one it is.
"Our cloud bill is unpredictable and we cannot move." The cost is usually egress and per-feature metering rather than compute. Start with hybrid cloud and pricing — the comparison that matters is the whole invoice, not the instance line.
"We own hardware with life left in it." Replacing it with rented capacity is rarely the cheapest answer. Rack it with us and connect it to the same VPC as your cloud instances — see colocation and BYO hardware.
"We need GPUs and the queue is long." Dedicated accelerators, close to your data, with no transfer charge on training sets — see GPUs for AI/ML.
"We do not want to staff this." Our engineers operate the estate end to end under managed services, and build on it under application development.
Where connectivity itself is the constraint — regulated traffic, latency-sensitive replication, committed throughput — the answer is dedicated: see private circuits and peering.
What every solution shares
Open source underneath, so the exit path exists on day one. No egress fees. Per-zone storage clusters with triple replication, documented under storage architecture. Private networking by default via VPC and WireGuard. Protection included rather than sold separately — snapshots and backups. And a NOC watching it 24/7, described under status and monitoring.
Not sure which fits? Talk to an engineer — we will map your current stack before recommending anything.