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RunPod vs Oblivus: GPU Compute Price Comparison

Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for RunPod and Oblivus. Updated July 2026.

Provider Overview

Attribute
Provider type
Specialist
Specialist
Founded
2022
2022
Headquarters
San Francisco, CA
Europe
Billing model
On-demand, Spot (interruptible)
On-demand, Spot
Min commitment
None
None
Support tier
Community → Pro
Community → Standard
Regions
3 regions
2 regions

Strengths & Best For

RunPod

RunPod is a community GPU cloud marketplace offering H100, A100, RTX 4090, and RTX 3090 instances on both on-demand and spot GPU rental plans, consistently among the lowest-cost options available. Its spot instances make it especially popular with indie AI developers running batch inference, image generation, and LLM fine-tuning on a budget. A serverless GPU option is also available for per-second billing on inference endpoints.

Strengths
  • Very competitive pricing
  • Wide GPU selection
  • Spot instances
  • Serverless GPU option
Best For
Budget-conscious developersExperimentationBatch inference jobs
Visit RunPod
Oblivus

Oblivus offers H100 and A100 GPU instances on-demand at competitive rates with straightforward pricing and no hidden fees, making it an accessible option for AI training and inference workloads on a budget. Spot GPU rental is also available for further cost savings on interruptible jobs. A no-frills GPU cloud for startups and developers who want simple, transparent pricing without enterprise complexity.

Strengths
  • Low prices
  • Simple pricing
  • No hidden fees
  • H100 availability
Best For
Cost-sensitive trainingBudget AI workloadsStartups
Visit Oblivus

Live GPU Pricing

No live pricing data available for these providers right now. View all live GPU prices →

Region Coverage

Popular Comparisons

RunPodspecialist provider

RunPod is a community GPU cloud marketplace offering H100, A100, RTX 4090, and RTX 3090 instances on both on-demand and spot GPU rental plans, consistently among the lowest-cost options available. Its spot instances make it especially popular with indie AI developers running batch inference, image generation, and LLM fine-tuning on a budget. A serverless GPU option is also available for per-second billing on inference endpoints.

Oblivusspecialist provider

Oblivus offers H100 and A100 GPU instances on-demand at competitive rates with straightforward pricing and no hidden fees, making it an accessible option for AI training and inference workloads on a budget. Spot GPU rental is also available for further cost savings on interruptible jobs. A no-frills GPU cloud for startups and developers who want simple, transparent pricing without enterprise complexity.

Billing model comparison

RunPod uses a On-demand, Spot (interruptible) billing model with a minimum commitment of None. Oblivus uses On-demand, Spot billing with a None minimum. Both providers offer flexible billing options — compare the live pricing table above to find the best rate for your specific GPU model and workload duration.

Which workloads each provider suits best

RunPod is best suited for: Budget-conscious developers, Experimentation, Batch inference jobs. Its key strengths are very competitive pricing, wide gpu selection, spot instances. Oblivus is best suited for: Cost-sensitive training, Budget AI workloads, Startups. Its key strengths are low prices, simple pricing, no hidden fees. Both providers target similar workload profiles — the live pricing table above is the most reliable way to determine which offers better value for your specific GPU model and region requirements.

Support tiers and region coverage

RunPod offers Community → Pro support across 3 regions (US, EU, CA). Oblivus offers Community → Standard support across 2 regions (EU, US). RunPod's broader region footprint gives it an advantage for latency-sensitive workloads or teams with data residency requirements in specific geographies.

Provider background: RunPod vs Oblivus

RunPod was founded in 2022 and is headquartered in San Francisco, CA. Oblivus was founded in 2022 and is headquartered in Europe. Both providers were founded in the same year — evaluate them on current pricing, region coverage, and support tier rather than operational history. Use the live pricing table above to compare current on-demand and spot rates for specific GPU models, and the region map to verify coverage in your target geography.