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Virtual Machines
GPU-accelerated instances highly configurable to your AI workload & budget.
Launch Public CloudAI Native GPU Cloud
Access GPU-accelerated virtual machines, reserved instances or bare metal clusters for your AI training, fine-tuning and inference.
Private Cloud
Reserve all the GPUs you need in a dedicated cluster for training and inference at scale.
Specify Your RequirementsPrivate Cloud Pricing
H100
From $2.20 per GPU/hour
80GB VRAM
Custom Networking
Currently the most powerful and commercially accessible Tensor Core GPU for large-scale AI and HPC workloads.
A100
Enquire for pricing
80GB VRAM
Custom Networking
The most popular (and thus scarce) Tensor Core GPU used for machine learning and HPC workloads for balancing cost and efficiency.
GH200
Enquire for pricing
144 GB VRAM
Custom Networking
The next generation of AI supercomputing offers a massive shared memory space with linear scalability for giant AI models. Only available with early access.
On-Demand Pricing
H100 SXM
Starting at $3.80/h
80GB VRAM
H100 PCIe
Starting at $3.24/h
80GB VRAM
A100
Starting at $2.74/h
80GB VRAM
L40S
Starting at $1.96/h
48GB VRAM
A16
Starting at $0.54/h
16GB VRAM
GPU Cloud Benefits
Upscale to AI-centric Infrastructure
The AI world is shifting to GPU clouds for building and launching groundbreaking models without the pain of managing infrastructure and scarcity of resources. AI-centric cloud providers outpace traditional hyperscalers on availability, compute costs and scaling GPU utilization to fit complex AI workloads.
Purpose-built for AI use cases
Ori Global Cloud enables the bespoke configurations that AI/ML applications require to run efficiently. GPU-based instances and private GPU clouds allow for tailored specifications on hardware range, storage, networking, and pre-installed software that all contribute to optimizing performance for your specific workload.
- Deep learning
- Large-language models (LLMs)
- Generative AI
- Image and speech recognition
- Natural language processing
- Data research and analysis
Serverless Kubernetes on GPUs
From bare metal and virtual machines, to private NVIDIA® SuperPOD clusters, Ori provides a layer of containerized services that abstract AI infrastructure complexities across CI/CD, provisioning, scale, performance and orchestration.
Why Ori?
We’re building the future of AI cloud computing
Fractional Instances
Access a wide variety of NVIDIA GPUs, from fractional to multi-GPU instances
Top-of-the-line GPUs
Build AI apps on a new class of AI supercomputers like NVIDIA SXM H100 and GH200 models.
Transparent Pricing
Competitive pricing, billing per minute, up to 81% cheaper than cloud hyperscalers.
Optimized Stack
Flexible tech stack pre-installed with your choice of OS, ML Framework and drivers.
Full Control
Guarantee access on a fully secure network that you control in every way.
Availability
We go above and beyond to find metal for you when GPUs are scarce and unavailable.
Cloud Native Tooling
Easily integrate all the tools you rely on
Ori makes it easy to use all the tools you need for AI workloads. Unlike other specialized clouds, you can use your own existing Helm charts without needing to adapt them to our platform.
Join the new class of AI infrastructure
Access the AI native cloud to accelerate your enterprise AI workloads at scale.