GPU capacity & dedicated clusters
GPU infrastructure for production AI.
NVIDIA and AMD Instinct GPU capacity and dedicated or reserved clusters, shaped around the workload — with Varni Managed Services when you need the environment operated as well.
What Varni provides
GPU compute
NVIDIA B300 and B200 capacity on request, and NVIDIA H100, H200 and AMD Instinct capacity sourced against specific requirements.
View GPU capacityDedicated and reserved clusters
Capacity dedicated to a single customer, or reserved for an agreed term. Configuration, term and commercial model are confirmed per requirement.
Request GPU CapacityManaged operations
When you need Varni to run the environment as well: GPU and server health, fabric, storage, orchestration, cloud, observability, service management and vendor coordination.
Explore Managed Services
Planned around the workload
A capacity requirement covers more than the GPU: the fabric, storage and operations it depends on.
GPU and node configuration
Accelerator type, memory, node count and cluster configuration, matched to the shape of the workload.
Fabric
The interconnect bandwidth and topology that distributed training and inference depend on.
Storage and data access
The throughput, capacity and data-access patterns needed to keep GPUs busy.
Observability
Telemetry for GPU, fabric and storage health, considered before go-live rather than added afterwards.
Operations
Who runs the environment once it is live: your team, or Varni Managed Services within an agreed scope.
How it fits together
From the workload down to the GPU capacity underneath it. Orchestration, fabric and storage operations are part of Varni Managed Services.
Workloads
- AI training
- AI inference
- Fine-tuning
- HPC
- Production AI
Bare metal
Phase 1
- Bare Metal GPU Compute
- Training Clusters
GPU capacity
- On request
NVIDIA B300
Quantity and availability confirmed on request
- On request
NVIDIA B200
Quantity and availability confirmed on request
- Sourcing
NVIDIA H100
Sourcing against customer requirements
- Sourcing
NVIDIA H200
Sourcing against customer requirements
- Sourcing
Additional GPU Capacity
Sourcing against customer requirements
- On request
Commercial terms
| Model | Terms |
|---|---|
| Pay-as-you-go | Pay for GPU capacity as you use it. Terms confirmed per requirement. |
| Reserved capacity | Capacity reserved for an agreed term. Terms confirmed per requirement. |
| Long-term commitment | Capacity over an agreed longer-term arrangement. Terms confirmed per requirement. |
| Enterprise / custom | Custom agreements for enterprise requirements. Terms confirmed per requirement. |
Pricing is provided on request.
Ready to scope your capacity?
Tell us the GPU, quantity, term and timeline you need.