IBM Cloud AI/ML

GPUs and AI Accelerators on IBM Cloud

IBM Cloud’s GPU and AI accelerator offerings run on bare metal servers equipped with dedicated GPU hardware. This setup targets heavy computational tasks, specifically powering AI workflows and handling intensive workloads that require direct access to physical infrastructure rather than virtualized environments. The pay-as-you-go model charges from $2.18 per hour, aligning costs directly with usage time.

This infrastructure suits teams already invested in IBM Cloud who need high-performance compute for serious AI training or inference jobs. The main friction point is the complete absence of a free tier, meaning you pay from the first minute of deployment. For developers wanting to test small models or experiment without immediate financial commitment, this upfront cost barrier makes it less suitable than platforms offering trial periods.

Product page Docs
  • Free tier No
  • Starting price from $2.18 per hour
  • Regions 8 · 5 continents
  • SLA uptime 99.99%
  • Compliance 13 certifications
  • Provider health B

Decision score

41 /100
Features 29
Pricing 40
Reliability 70
Community 0
Ecosystem 66

Computed from catalog breadth, pricing, provider reliability (uptime & SLA), community signal, and ecosystem (compliance & regions). Weighted equally.

Trust & reach via IBM Cloud

Compliance
  • C5
  • CSA STAR
  • FedRAMP
  • GDPR
  • HIPAA
  • ISO 27001
  • ISO 27017
  • ISO 27018
  • ISO 9001
  • PCI DSS
  • SOC 1 Type II
  • SOC 2 Type II
+1 more
SLA uptime
  • compute99.99%
  • database99.99%
  • networking99.99%
  • storage99.99%
Global reach

8 regions across 5 continents

  • Asia
  • Europe
  • North America
  • Oceania
  • South America

Pricing tiers 3

Tier / PlanPriceUnitRegion
gx3-16x80x1l4 · GPU L4 $2.18 per hour us-south
gx2-8x64x1v100 · GPU V100 $3.06 per hour us-south
gx2-16x128x2v100 · GPU V100 $6.12 per hour us-south

Prices in USD. Micro-prices are quoted per 1M units; "< $0.000001" marks rates below our stored precision. Subject to change — check the provider's official page.

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