Instant Clusters
Up to 64 GPUs, one fabric.
Join dedicated 8-GPU servers on a 400 Gb/s per-GPU network, with a shared volume and Slurm ready when the cluster boots. Create it in the console, stop it when the run ends.
The fabric
Every GPU gets its own 400G port.
Each server hangs off a leaf switch with one port per GPU, and every leaf connects to both spines. All-reduce traffic never queues behind storage or another tenant.
cluster · h200-x4 · eu-fra-1 fabric up
Spine 01400G
Spine 02400G
Leaf 01400G
Leaf 02400G
node-01
node-02
+2 nodes on leaf 03 and 04
Spine 01400G
Spine 02400G
Leaf 01400G
Leaf 02400G
Leaf 03400G
Leaf 04400G
node-01
node-02
node-03
node-04
- Nodes
- 4
- GPUs
- 32× H200
- Fabric
- 400 Gb/s per GPU
- Rate
- €128.00/hr
Plans
Self-serve today, or held for months.
Instant Clusters start from the console with no contract. Reserved Clusters lock capacity and a rate for a long training run.
Self-serveconsole · nexctl · API
Instant Clusters
Create one, train, stop it. Metered per second on every node.
- Servers
- 2 to 8
- GPUs
- 16 to 64
- Fabric
- 400 Gb/s per GPU, RDMA
- Ready with
- Shared volume · Slurm
- Term
- None
FamilyPer node · hr8 nodes · hr
- B300€48.00€384.00
- B200€40.00€320.00
- H200€32.00€256.00
- H100€24.00€192.00
Planned with our teamquote in one business day
Reserved Clusters
Capacity held from a start date you pick, at a fixed euro rate.
- Servers
- More than 8
- Fabric
- Designed around your job
- Spares
- Standby nodes for swaps
- Interconnect
- Private link to your cloud
- Term
- From 3 months, quoted
Family12-month rate · node·hrvs on demand
- B300€40.00−€8.00
- B200€32.00−€8.00
- H200€24.00−€8.00
- H100€16.00−€8.00
12-month rate shown. Shorter terms, from 3 months, are quoted.
In plain words
What is an Instant Cluster?
Two or more Nexpod servers on one private, high-bandwidth network, booted as a single unit for distributed training, large-model inference and jobs that need more than eight GPUs at once.
Self-serve
A cluster without a purchase order.
Console or CLI, your container, Slurm on top, and a meter that stops with the cluster.
nexctl — clusters
{ "name": "h200-x4", "family": "H200", "nodes": 4, "region": "eu-fra-1", "image": "ghcr.io/acme/train:2.9-cuda13", "volume": "ckpt-eu", "slurm": true}nodes 4/4 · fabric test passed · 3m 05s
Bring-up · h200-x43m 05s
- 00:00Request · 4× H200 in eu-fra-1
- 00:38Nodes placed on one leaf pair
- 01:52Fabric test · all-reduce passed
- 02:40Volume ckpt-eu mounted on 4/4
- 03:05Slurm up · 32 GPUs idle
Minutes from request to Slurm
Placement, fabric test and volume mounts run before you log in.
h200-x4 running
00:45:12
- 4 nodes · 8× H200
- €128.00/hr
- Per second
- €0.03556
- Billed so far
- €96.43
Metered per second, per node
Four servers, one meter, stopped in one command.
tokens/s · ×10001 → 8 nodes
118
231
342
455
561
668
774
879
1n··4n···8n
Add nodes, add throughput
Collectives run on a dedicated fabric, so training throughput tracks node count from one server to eight.
Reserved Clusters
Held for your dates. Priced for the term.
For runs that last months: capacity booked in advance, a fabric planned around your job and a rate fixed for the whole term.
Reserved · 2027
JFMAMJJASOND
32× H200
64× B300
16× H100
Capacity on your calendar
Book blocks of servers from a start date, months ahead.
Fabric partitionyours · 8 nodes
your partition not routable
A partition of your own
Your fabric is fenced off. Nothing routes in from other tenants.
One term · Jan to Dec 2027Sample
152 GPUs reserved- B30064 GPUs · 8 servers
- B20040 GPUs · 5 servers
- H20032 GPUs · 4 servers
- H10016 GPUs · 2 servers
Many GPUs, one term
Mix families under one reservation and one invoice line, each at its own reserved rate.
FAQ
Clusters, answered.
Size, network, storage and billing, without the sales deck.
How is a cluster different from one Cloud Server?
A Cloud Server is one machine with eight GPUs on NVLink. A cluster joins several of those machines over a fast network so one job can use all of their GPUs, which is what large training runs and big-model serving need.
How small and how large can a cluster be?
Self-serve clusters run from 2 to 8 servers, so 16 to 64 GPUs. Larger fabrics are planned with the team as a Reserved Cluster.
How are clusters billed?
Each server in the cluster is metered per second at its normal hourly rate. Stop the cluster and every node stops billing at the same moment.
What bandwidth do nodes get between them?
Every GPU has its own 400 Gb/s port into a non-blocking leaf and spine fabric with RDMA, so collective operations do not compete with storage traffic.
Is my cluster network isolated from other customers?
Yes. Each cluster gets its own fabric partition. There is no route from your partition to another tenant's, and your inter-node bandwidth is not shared.
Where do large models and checkpoints live?
On a network volume in the same region, mounted on every node at boot. Local NVMe on each server stays available for scratch data.
Can I connect a cluster to my own cloud account?
Yes, over mutual TLS at the application layer or through a private interconnect on a Reserved Cluster. Data stays in the region you picked.
Do clusters support Kubernetes?
Clusters ship with Slurm and plain SSH today. Bring your own orchestrator on top if you need it; Kubernetes support is on the roadmap.
Is there a minimum term?
Not for Instant Clusters: create one, train, stop it. Reserved Clusters start at three months.
Customers
For runs that need more than one node.
Pre-training, large fine-tunes and big-model serving all outgrow eight GPUs at some point. Clusters are where they go next.
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Start now
Your next run, on 64 GPUs.
Two H200 servers start at €64.00 per hour together. Add nodes when the run needs them and stop the whole cluster in one command.
On-demand ratesEUR · excl. VAT
- B300· 288 GB HBM3e€6.00/GPU·hr
- B200· 180 GB HBM3e€5.00/GPU·hr
- H200· 141 GB HBM3e€4.00/GPU·hr
- H100· 80 GB HBM3€3.00/GPU·hr