NVLink Partitioning
NVIDIA NVLink is a high-speed interconnect technology that allows for memory-sharing between GPUs. Sharing is allowed between all GPUs in an NVLink Partition. An NVLink Partition must consist of GPUs within the same NVLink Domain, which can be a single NVL72 rack or two NVL36 racks cabled together.
NVIDIA Infra Controller (NICo) allows you to do the following with NVLink:
- Create, update, and delete NVLink Logical Partitions using the NICo REST API.
- Provision Instances with GPUs assigned to partitions within NVLink Domains by way of NVLink Logical Partitions, without knowledge of the underlying NVLink topology.
- Update Instances to change NVLink Logical Partition assignment for its GPUs
NICo extends the concept of an NVLink Partition with the NVLink Logical Partition, which allows users to manage NVLink Partitions without having to learn the datacenter topology.
Note: NVLink Partitioning is only supported for GB200 compute nodes.
Operations: Who Does What
NVLink splits between operator site setup against NMX-C and tenant partition
management. Notably, two operator steps (fallback NMX-C endpoint
registration and the GPU-mapping populate step) are not exposed via the
REST API and are therefore driven through nico-admin-cli over gRPC. See
Network Isolation → Who configures what, and how
for the role and interface model.
The operator NMX setup (the first three rows) is detailed under
Enabling NMX-C-based NVLink Partitioning.
The tenant rows are the REST / nicocli flow described next.
Creating a NVLink Logical Partition
NICo users can create NVLink Logical Partitions and plan GPU assignments using NVLink Interfaces for Instances (as described in steps 1-2). NICo can also automatically generate NVLink Interfaces and assign them to Instances (as described in step 3).
In general, the steps are:
-
The user creates a NVLink Logical Partition using the
POST /v2/org/{org}/nico/nvlink-logical-partitionREST API endpoint. NICo creates an entry in the database and returns an NVLink Logical Partition ID. At this point, there is no underlying NVLink Partition associated with the NVLink Logical Partition. -
When creating an Instance, the user specifies NVLink Interface configuration for each GPU by referencing their preferred NVLink Logical Partition ID in the
POST /v2/org/{org}/nico/instanceREST API endpoint request.a. If this is the first Instance to be added to specified NVLink Logical Partitions, NICo Core will create and assign NVLink Partitions for them and add the Instance GPUs to the NVLink Partitions.
Note: To ensure that machines in the same Rack are assigned to the same NVLink Partition, an Instance Type can be created for the Rack and all Machines in the Rack assigned to the same Instance Type. Alternatively users can use the Batch Instance creation REST API endpoint and set
topologyOptimizedtotrue.
-
If the user does not want to specify NVLink Interfaces for each GPU when creating an Instance, they can:
a. Create a new VPC by specifying a value for
nvLinkLogicalPartitionIdor update an existing VPC with no Instances to set thenvLinkLogicalPartitionIdattribute. We will refer to this as the default NVLink Logical Partition for the VPC.b. When creating an Instance in this VPC, user does not need to specify NVLink Interfaces, NICo will automatically generate NVLink Interfaces for the Instance and assign them to the VPC’s NVLink Logical Partition.
c. All Instances created within this VPC will have their GPUs assigned to the same NVLink Partition as long as the Instances end up in the same Rack.
d. If there is no space in the Rack where the NVLink Partition for an NVLink Logical Partition is located, NICo will create a new NVLink Partition in a different Rack for the same NVLink Logical Partition and continue to assign the Instance GPUs to it.
Important: If Instances are in different Racks, they will not be able to share memory with each other despite having the same NVLink Logical Partition.
Updating an Instance to change NVLink Logical Partition assignment for its GPUs
If a NICo user wants to update an Instance to change NVLink Logical Partition assignment for its GPUs, they can do so by calling the PATCH /v2/org/{org}/nico/instance/{instance-id} REST API endpoint
The user can specify the NVLink Logical Partition ID for each GPU in the Instance by passing the nvLinkInterfaces list.
If Instance’s VPC has a default NVLink Logical Partition, no changes to the NVLink Logical Partition assignment are allowed.
Removing Instances from a Logical Partition
If a user de-provisions an Instance, NICo will remove the Instance GPUs from the NVLink Partition.
Deleting an NVLink Logical Partition
A NICo user can call DELETE /v2/org/{org}/nico/nvlink-logical-partition/{nvLinkLogicalPartitionId} to delete an NVLink Logical Partition. This call will only succeed if there are no active Instances associated with the NVLink Logical Partition.
Retrieving NVLink Partition Information for an Instance
A NICo user can call GET /v2/org/{org}/nico/instance/{instance-id} to retrieve information about an Instance. As part of the 200 response body, NICo will return a nvLinkInterfaces list that includes both the nvLinkLogicalPartitionId and nvLinkDomainId for each GPU in the Instance.
Default NVLink Logical Partition for a VPC
It’s an optional default, not a constraint. VPCs can be created with or without a default NVLink Logical Partition.
It is optional on both POST .../vpc (Create VPC) and PATCH .../vpc/{vpcId} (Update VPC).
What setting it on a VPC actually does
It’s a convenience default for instance creation. When nvLinkLogicalPartitionId is set on the VPC, you don’t have to specify nvLinkInterfaces on POST .../instance (Create Instance) or POST .../instance/batch (Batch Create Instances) — the API will auto-populate the per-GPU NVLink Interfaces to reference that VPC’s NVLink Logical Partition.
That’s the entire effect. It does not reserve or lock the NVLink Logical Partition to the VPC.
No exclusivity between VPCs
We intentionally don’t restrict an NVLink Logical Partition to a single VPC. The same nvLinkLogicalPartitionId may be set on multiple VPCs. This is deliberate, to preserve flexibility in how you plan networking and NVLink partitioning.
You can also manage NVLink at the Instance level
If you want finer control, leave nvLinkLogicalPartitionId unset on the VPC and specify nvLinkInterfaces directly on Create Instance — each entry binds a specific deviceInstance (GPU) to an explicit nvLinkLogicalPartitionId, so different GPUs in the same instance (or across Instances in the same VPC) can operate in different NVLink Logical Partitions.
Summary
How NICo Reconciles NVLink State
NICo runs a periodic reconciler against NMX-C to keep the actual NVLink
partition topology aligned with the desired state implied by tenant instance
configurations. The behaviour matters whenever an operator is
diagnosing latency between an API call and an instance becoming Ready.
Each reconciliation pass does the following:
- Loads every NVLink Logical Partition and every NVLink Physical Partition from the NICo database.
- Resolves the NMX-C endpoint for each chassis and queries its current partition list, compute nodes, and GPU membership.
- Compares observed state against desired state.
- Issues create / update / remove operations to the fabric-management service to converge it onto desired state.
- Updates per-machine GPU status observations in the NICo database. The
per-instance
configs_synced.nvlinkfield is derived from these observations and is what gates the instance’sReadystate.
Cadence is set by nvlink_config.monitor_run_interval (default 60s).
Metrics
The reconciler exposes metrics under the
carbide_nvlink_partition_monitor_* namespace. Useful ones:
Instance Release and Logical Partition Deletion
When an instance is released (via ReleaseInstance):
- The instance’s NVLink configuration is cleared from the database.
- The reconciler observes that GPUs previously assigned to the instance are no longer requested in any live partition.
- The reconciler removes those GPUs from their NMX-C partitions.
- Once all NVLink state is removed, the machine’s GPU status observation reflects an empty domain assignment and the host becomes eligible for reuse.
When a Logical Partition is deleted, every underlying NVLink Physical Partition on each NMX-C endpoint backing it is also deleted. The deletion is rejected if any instance still references the Logical Partition.
When a host is force-deleted, the instance running on it is implicitly released and the above cleanup path runs. Operators do not need to detach NVLink configuration manually before force-deleting.
Enabling NMX-C-based NVLink Partitioning
NMX-C is the supported gRPC control path for NVLink partition management.
Compatibility note
NMX-M is no longer supported. The legacy
nico-admin-cli credential add-nmx-m and delete-nmx-m command names remain
available temporarily so existing scripts receive a clear unsupported error;
they do not modify credentials.
Configure the NMX-C client under [nvlink_config]:
NMX-C endpoints are resolved per chassis. NICo first uses the NVOS IP of a
ready switch with its Fabric Manager control plane configured. If no suitable
switch endpoint is available, NICo falls back to an explicit chassis mapping
stored in the database. Register fallback mappings with nico-admin-cli,
keyed by chassis serial:
update and delete subcommands follow the same pattern. The reconciler
picks up new endpoints on the next iteration; no restart is required.
The TLS material in TOML applies uniformly to every NMX-C endpoint NICo talks to. Per-endpoint credential overrides are not currently supported; deploy a uniform trust posture across the site’s NMX-C control plane.
For machines discovered before NVLink partitioning was enabled, populate the machine’s GPU mapping from Redfish and NMX-C:
Machines discovered after NVLink partitioning is enabled are populated during discovery and do not require this step.
Verifying a Tenant’s NVLink Placement
After an instance has been created and the reconciler has had at least one opportunity to run, an operator can confirm correct placement with the following checks. There is no single all-in-one health command; the steps below should be repeatable as a checklist.
-
Reconciler is running.
carbide_nvlink_partition_monitor_iteration_latency_millisecondsis being recorded. Evaluate the recent increase or rate ofcarbide_nvlink_partition_monitor_nmxc_connect_error_countover a time window appropriate to the reconcile interval; its historical total alone does not indicate a current connection problem. -
Logical-partition count matches expectation.
carbide_nvlink_partition_monitor_num_logical_partitionsreflects the partitions a site planner expects to exist. A sudden change is worth correlating with recent tenant API activity. -
Per-instance configuration has converged. The instance’s
InstanceStatusreportsconfigs_synced.nvlink = trueand thenvLinkInterfaceslist on the instance shows the expectednvLinkLogicalPartitionIdandnvLinkDomainIdfor each GPU. -
Per-machine GPU placement.
Returns the machine’s NVLink GPU status observations, including the Domain each GPU is currently assigned to. Use this to confirm that two instances expected to share an NVLink Logical Partition have actually landed in the same NVLink Domain — instances in different Domains cannot share GPU memory regardless of having the same Logical Partition ID.
-
Cleanup after release. After releasing an instance, the same
machine nvlink-infooutput should show an empty Domain assignment on the affected GPUs within one or two reconcile intervals. Failure to clear indicates the reconciler could not remove the GPU from its NMX-C partition; investigate the corresponding connect-error and op-latency metrics.