Oblivus

Oblivus GPU pricing overview

Oblivus is a specialist GPU cloud provider headquartered in Europe. Oblivus is a GPU cloud offering H200, H100 SXM5, H100 NVLink, H100 PCIe, A100 NVLink, A100 PCIe, L40, RTX 4090, and RTX A6000 instances with transparent all-in pricing (vCPUs, RAM, and storage included). Reservation pricing available for H100 SXM5. Price is locked at deployment — if prices decrease, you benefit; if they increase, your rate stays unchanged. RTX 5090 now available on demand. No spot instances — dedicated instances only. Billing is On-demand, Reservations with a minimum commitment of None. Available regions include EU, US. GPU instances can be provisioned on-demand, making Oblivus suitable for both short-duration experiments and sustained production workloads.

Oblivus vs other GPU providers

Oblivus competes with providers including Lambda Labs, CoreWeave, RunPod, Paperspace, Vast.ai, and the major hyperscalers (AWS, Google Cloud, Azure) for GPU compute workloads spanning LLM training, fine-tuning, and inference serving. Key differentiators include: Price locked at deployment — protected from future price increases; All-in pricing: vCPUs, RAM, storage included — no hidden fees; H200, H100 SXM5, A100 — competitive dedicated pricing. Use the side-by-side comparison tool above to see Oblivus pricing against any other provider across shared GPU models. For a broader market view, the live GPU prices table shows all 6 Oblivus listings alongside 91+ providers in a single sortable view.

Best use cases for Oblivus

Oblivus is best suited for: Cost-sensitive AI training with predictable pricing, Teams wanting dedicated (non-spot) instances, Budget H100 and A100 workloads, European startups and researchers. Support tiers range from Community → Business, making it viable for both individual researchers and enterprise teams with SLA requirements. There are currently 6 active GPU listings on Oblivus, covering RTX 4090, RTX 3090, A100 80GB, A100 40GB and more. H100 SXM5 instances with NVLink interconnect are commonly used for large-scale training workloads. A100 40GB and RTX 4090 instances are frequently used for fine-tuning and inference of smaller models.

Oblivus billing model and cost structure

Oblivus uses On-demand, Reservations pricing. Spot (interruptible) instances are available from $0.12/hr — interruptible instances are typically lower-cost than on-demand, suitable for fault-tolerant training jobs with checkpointing. Reserved instance pricing may be available for predictable long-running workloads — check the provider's pricing page for current committed-use rates. Always compare the effective hourly rate including egress, storage, and networking costs when evaluating total cost of ownership across providers.

Choosing the right GPU on Oblivus

GPU selection depends on model size, precision, and whether your workload is compute-bound or memory-bandwidth-bound. For LLM training above 30B parameters, H100 80GB SXM5 instances with NVLink are the standard choice — high HBM3 bandwidth and FP16 throughput make them well-suited for large transformer workloads. For inference of 7B–13B models in FP16 or BF16, A100 40GB is a common choice on many providers. RTX 4090 instances are widely used for fine-tuning, prototyping, and quantized inference (INT4/INT8) of models up to 70B. Read the H100 vs A100 guide or the GPU benchmarks for ML guide for a full breakdown.

How Oblivus pricing data is collected

Prices shown are sourced from Oblivus's public pricing API or pricing page and refreshed every 15 minutes. On-demand rates reflect the current list price for a single GPU instance in the cheapest available region. Spot prices, where available, reflect interruptible instance rates at the time of the last snapshot. All prices are in USD per hour. Daily snapshots are kept in our history archive and visualised in the GPU price history charts — useful for identifying seasonal pricing patterns and evaluating whether current rates are above or below the 30-day average.

Evaluating managed LLM inference APIs as an alternative to self-hosted GPU compute? Compare live LLM token prices across OpenAI, Anthropic, Google, Groq, and many other providers. The cheapest GPU cloud guide covers the break-even analysis between self-hosted and managed inference at different request volumes.