Ori Cloud

Ori Cloud GPU pricing overview

Ori Cloud is a specialist GPU cloud provider headquartered in London, UK. Ori Industries merged with Brookfield's AI infrastructure capabilities to form Radiant, the first fully integrated AI infrastructure platform. Ori's technology, team, and cloud platform continue under the Radiant brand. Radiant offers NVIDIA Vera Rubin NVL72, Blackwell B200, H200, H100, and AMD MI300X/MI355X GPU compute with managed Kubernetes, managed Slurm, and fault-tolerant AutoClusters. Backed by Brookfield with $100B+ in deployable capital and 5 GW+ of live powered land globally. FlightDeck provides unified observability and operations. Serverless Kubernetes, inference, fine-tuning, and model registry. Renewable energy mix including hydro, wind, geothermal, biomass, and natural gas. Ori founder Mahdi Yahya serves as President of Radiant. Billing is Enterprise contracts (contact sales) with a minimum commitment of Enterprise minimum. Available regions include EU-West, US, EU-North (Norway). GPU instances can be provisioned on-demand, making Ori Cloud suitable for both short-duration experiments and sustained production workloads.

Ori Cloud vs other GPU providers

Ori Cloud 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: Brookfield-backed with $100B+ deployable capital and 5 GW+ powered land; Vera Rubin NVL72 and Blackwell B200/H200/H100 in catalog; FlightDeck: unified observability and operations platform. Use the side-by-side comparison tool above to see Ori Cloud pricing against any other provider across shared GPU models. For a broader market view, the live GPU prices table shows all 5 Ori Cloud listings alongside 91+ providers in a single sortable view.

Best use cases for Ori Cloud

Ori Cloud is best suited for: Hyperscale AI training at gigawatt scale, Enterprise and sovereign AI deployments, Teams wanting vertically-integrated AI factory infrastructure, Organizations needing managed Kubernetes and Slurm. Support tiers range from Enterprise, making it viable for both individual researchers and enterprise teams with SLA requirements. There are currently 5 active GPU listings on Ori Cloud, covering A100 80GB, H100 80GB, H200 141GB, L40S 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.

Ori Cloud billing model and cost structure

Ori Cloud uses Enterprise contracts (contact sales) pricing. Spot (interruptible) instances are available from $0.65/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 Ori Cloud

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 Ori Cloud pricing data is collected

Prices shown are sourced from Ori Cloud'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.