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State of GPU Compute 2026

Case studies

Workloads, written up end to end.

Each study follows one team from the first node to production: the setup, the numbers that mattered and what they would change.Each study follows one team from the first node to steady production: the setup, the numbers that mattered and what they would change next time.

Sample

The studies below are samples that show the format. Companies and figures are fictional.

A Nexpod Instant Cluster: four 8-GPU B300 servers in a two by two layout, each GPU board linked to an InfiniBand switch, 32 GPUs in total.
console.nexpod.ai/servers · reserved
Reserved servers4 running
12-month term
Name€/hr
  • fold-batch-01
    ASUS ESC N8A-E12 · 8× H100 · EU-FRA-1
    €16.00
  • fold-batch-02
    ASUS ESC N8A-E12 · 8× H100 · EU-FRA-1
    €16.00
  • fold-batch-03
    ASUS ESC N8A-E12 · 8× H100 · EU-FRA-1
    €16.00
Reserved · 12-month term · EUR€64.00/hr 4 servers
Workers · one weekday · sample
peak 20 · limit 24
max 24
From the reportSample data

State of GPU Compute 2026

Seven chapters on where GPU-hours go, how big clusters really are and how busy rented hardware is. Free as a PDF.

7

chapters

38

pages, free PDF

61%

of GPU-hours on inference

SHARE OF GPU-HOURS · SAMPLE
inferencetraining
61%
SHARE OF GPU-HOURS · SAMPLE
inferencetraining
61%

Your turn

Run it on whole servers. Write it up with us.

Pick a server, pick a region, and connect over SSH. Stop it whenever you are done; the meter stops with it.

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