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Oblivus vs GPU.ai: GPU Compute Price Comparison

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

Provider Overview

Attribute
Provider type
Specialist
Specialist
Founded
2022
2023
Headquarters
Europe
United States
Billing model
On-demand, Spot
On-demand
Min commitment
None
None
Support tier
Community → Standard
Standard
Regions
2 regions
1 regions

Strengths & Best For

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
GPU.ai

GPU.ai provides H100, A100, and L40S cloud GPU instances optimized for AI and ML workloads with a developer-friendly interface and competitive on-demand pricing for training and inference jobs. Straightforward billing and fast provisioning make it accessible for AI developers who want quick access to professional NVIDIA hardware without navigating complex enterprise pricing. A clean, no-frills on-demand GPU cloud for developers building and deploying AI models.

Strengths
  • AI-optimized
  • Developer-friendly
  • Competitive pricing
Best For
AI developersModel trainingInference APIs
Visit GPU.ai

Live GPU Pricing

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

Region Coverage

Popular Comparisons

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.

GPU.aispecialist provider

GPU.ai provides H100, A100, and L40S cloud GPU instances optimized for AI and ML workloads with a developer-friendly interface and competitive on-demand pricing for training and inference jobs. Straightforward billing and fast provisioning make it accessible for AI developers who want quick access to professional NVIDIA hardware without navigating complex enterprise pricing. A clean, no-frills on-demand GPU cloud for developers building and deploying AI models.

Billing model comparison

Oblivus uses a On-demand, Spot billing model with a minimum commitment of None. GPU.ai uses On-demand 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

Oblivus is best suited for: Cost-sensitive training, Budget AI workloads, Startups. Its key strengths are low prices, simple pricing, no hidden fees. GPU.ai is best suited for: AI developers, Model training, Inference APIs. Its key strengths are ai-optimized, developer-friendly, competitive pricing. 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

Oblivus offers Community → Standard support across 2 regions (EU, US). GPU.ai offers Standard support across 1 region (US). Oblivus's broader region footprint gives it an advantage for latency-sensitive workloads or teams with data residency requirements in specific geographies.

Provider background: Oblivus vs GPU.ai

Oblivus was founded in 2022 and is headquartered in Europe. GPU.ai was founded in 2023 and is headquartered in United States. Oblivus has 1 years more operational history than GPU.ai, which may matter for teams evaluating provider stability and long-term contract risk. 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.