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State of GPU Compute 2026

Cloud Servers

A full 8‑GPU server, live in a minute.

Pick B300, B200, H200 or H100 and a region, then SSH in. Nothing on the machine is shared, and the meter runs per second.Pick B300, B200, H200 or H100, choose a region and connect over SSH. Nothing on the machine is shared, and the meter runs per second, in euros.
Exploded view of a Nexpod node: an 8U server with eight NVIDIA B300 GPUs on an HGX baseboard, an NVLink switch tray above it, and data paths to the EU-AMS-1, EU-FRA-1 and US-NYC-1 regions.

Deploy

Four picks, then a root shell.

Family, region, server model and image. The summary shows the hourly rate and the price per second before anything starts billing.
console.nexpod.ai/deploy
1GPU family8 GPUs per server
B300
288 GB HBM3e
€48.00/hr
B200
180 GB HBM3e
€40.00/hr
H200
141 GB HBM3e
€32.00/hr
H100
80 GB HBM3
€24.00/hr
2Region
EU-AMS-1EU-FRA-1EU-HEL-1US-NYC-1
3Server model1 of 8
NVIDIA DGX B300
4Image
nexpod/pytorch:2.9-cuda13
to a root shell
<1 min
server models
20
live regions
3
meter granularity
1 s
  • Boot · dgx-b300-0447 s
    • Reserve node
    • Attach volume
    • Pull image
    • Boot + checks
    0s15s30s45s60s

    Running in under a minute

    Steps overlap, and all eight GPUs pass health checks before SSH opens.

  • Regions3 live · 1 planned
    EU-AMS-1
    EU-FRA-1
    EU-HEL-1soon
    US-NYC-1

    3 regions, one rate card

    Amsterdam, Frankfurt and New York today, Helsinki next. One price everywhere.

  • dgx-b300-04 running
    00:03:12
    8× B300
    €48.00/hr
    Per second
    €0.01333
    Billed so far
    €2.56

    Metered per second

    Stop the server and the meter stops too.

4
GPU families
20
server models
3
live regions
1 s
meter granularity

In plain words

What is a Cloud Server?

One physical machine with eight NVIDIA GPUs, rented by the hour and run by you as root. Pick it when a job wants the full node, its local disks and a fixed hourly price: model training, steady serving, rendering or a service that runs for weeks.

Rates

Four families. 20 servers.

The rate follows the GPU family, not the chassis. Pick a model for its CPU, memory or local storage and pay the same per hour.

EUR · excl. VAT · metered per second

Developer tools

Run the whole fleet from code.

Every button in the console is an API call first. Script it from Python or TypeScript, drive it from your shell with nexctl, or let CI roll out new images.
  • import nexpod
    # the key comes from NEXPOD_API_KEY
    client = nexpod.Client()
    IMAGE = "nexpod/pytorch:2.9-cuda13"
    server = client.servers.create(
    family="B300",
    region="eu-ams-1",
    image=IMAGE,
    )
    server.wait_until_ready()
    print(server.ssh)
    API · SDKs

    One REST API, two SDKs

    Create, list, resize and stop servers from Python or TypeScript. Keys stay in your environment.

  • nexctl — zsh
    $ nexctl servers list
    NAME GPUS STATUS
    llm-train-01 8×B300 running
    inference-eu 8×B200 running
    $ nexctl servers ssh llm-train-01
    ✓ root@ams-04.nexpod.cloud
    $ nexctl servers logs llm-train-01 -f
    14:01:58 step 18400 · loss 0.612
    14:02:04 step 18410 · loss 0.609
    $ nexctl servers stop llm-train-01
    ✓ stopped · meter off at 14:02:17
    $
    CLI

    nexctl in your shell

    List, create and stop servers without leaving the terminal.

  • deploy · mainv15
    git pushmain · 3f9a1c2
    buildimage · 2m 04s
    v15 livefleet · 4 servers
    rollback to v14nexctl rollback
    CI

    Roll out from your pipeline

    Push to main, build the image, swap it onto your servers one by one. One command back if it misbehaves.

Storage

Fast local disks. Volumes that stay.

Each server has its own NVMe for scratch data. Network volumes hold what must survive a stop. Moving data in or out costs nothing.
Network storage
  • Network volumeConfigurable on request
  • SnapshotsConfigurable on request
  • Ingress and egressNo fees
Per GPU · hour on demand reserved
  • B300 · 288 GB HBM3e−17%
    €6.00
    €5.00
  • B200 · 180 GB HBM3e−20%
    €5.00
    €4.00
  • H200 · 141 GB HBM3e−25%
    €4.00
    €3.00
  • H100 · 80 GB HBM3−33%
    €3.00
    €2.00

Reserved

Commit for a year. Pay less every hour.

Reserve servers for 12 months and each GPU-hour costs €1.00 less, on every family. Same hardware, same per-second meter, one fixed line on the monthly invoice.

FAQ

Cloud Servers, answered.

Short answers about hardware, billing and data. Anything else goes to the team behind the console.
Do I really get the whole server?
Yes. A Cloud Server is one physical machine: eight GPUs, its CPUs, memory and local NVMe. While it is yours, no other customer has a process on it.
Which GPUs and server models can I rent?
Four NVIDIA families (B300, B200, H200 and H100) across 20 server models from NVIDIA, ASUS, GIGABYTE and Supermicro. Every model has its own spec page under Servers.
How is a Cloud Server billed?
Rates are listed per hour and metered per second, from the moment the server reports ready until you stop it. You get one invoice in euros with VAT on its own line.
Can I run my own container image?
Yes. Start from a Nexpod base image with CUDA and PyTorch, or pull any image from a public or private registry. You also get root over SSH.
What happens to my files when I stop?
Local NVMe is wiped when the server is released. Keep datasets and checkpoints on a network volume: it stays in the region and mounts on your next server.
Is there a minimum rental period?
No. Ten minutes of work costs ten minutes of server time. There is no setup fee and no notice period.
Where are the servers?
EU-AMS-1 (Amsterdam), EU-FRA-1 (Frankfurt), US-NYC-1 (New York), with EU-HEL-1 (Helsinki) planned. Rates are the same in every region.
Is there a lower rate for long runs?
Yes. A 12-month reservation takes €1.00 off every GPU-hour, on every family. For blocks of servers, talk to sales.

Customers

Teams that need the whole node.

Long training runs, steady inference and heavy batch work all want the same thing: predictable throughput and nothing else on the machine.
Placeholder

Placeholder quote. An AI app team says, in one or two plain sentences, what changed after moving production traffic to Nexpod.

Customer nameEngineering lead, AI app
  • Customer 01
  • Customer 02
  • Customer 03
  • Customer 04
  • Customer 05
  • Customer 06
  • Customer 07
  • Customer 08
Customer logosPlaceholder

Start now

Start a server. Stop it whenever.

No card needed to look around the console. Once a server runs, you pay per second and stop whenever you like.

On-demand ratesEUR · excl. VAT
  • B300€6.00/GPU·hr
  • B200€5.00/GPU·hr
  • H200€4.00/GPU·hr
  • H100€3.00/GPU·hr