For Ambitious AI Teams

The Private GPU Cloud for Massive-Scale AI Projects

We’re building a new class of GPU-accelerated cloud infrastructure designed to make training, inference and deploying AI apps more accessible.

  • White Stork
  • Virgin media
  • Telefonica
  • Basecamp Research
  • Yepic AI
  • kyndryl

Why Ori?

We’re building the future of AI cloud computing

Simplified Management

Focus on AI innovation and let Ori operations worry about managing GPU infrastructure.

Top-of-the-line GPUs

Build AI apps on a new class of AI supercomputers like NVIDIA DGX™ GH200 models.

Guaranteed Pricing

Significantly reduce cloud costs compared to the legacy cloud hyperscalers.

Bespoke Services

Our professional services can architect and build a large custom AI infrastructure.

Full Control

Guarantee access on a fully secure network that you control in every way.

Unmatched Flexibility

Personalised terms, pricing and configurations that you won’t get from the hyperscalers.

Performance Bare Metal

Large-scale training and inference accelerated by NVIDIA® Tensor Core GPUs.

  • 81%

    savings compared to cloud providers

  • better performance vs. DGX A100

  • 400 Gbps

    high-speed, low-latency InfiniBand

The NVIDIA DGX SuperPOD™ 
with NVIDIA HGX™ H100 systems

Get the best-of-the-best in commercial GPU cloud architecture where you need it—fully managed by Ori.

The DGX SuperPOD architecture is designed to provide the highest levels of computing performance in AI and HPC workloads. It is highly modular and scalable. It is the topology that NVIDIA itself uses as their research and development for next generation AI models.

Ori experts help AI companies build bespoke SuperPOD cloud data centers around the world.

Contact Sales

GH200

144 GB
SXM
Available Q2 2024

H100

80 GB
SXM
Available Now

A100

80 GB
SXM
Limited Availability

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.

Always-available GPU resources

Ori houses a large pool of various GPU types tailored for different processing needs. This ensures a higher concentration of more powerful GPUs readily available for allocation compared to general-purpose clouds.

  • Spin up in seconds
  • Configure instances
  • Access the latest GPUs
  • Train and process faster
  • Pool GPU resources

AI-centric specialized services

We optimize the latest GPU servers for a wide range of AI and machine learning applications. Specialized knowledge of AI-specific architectures and GPU cloud services are crucial for cutting-edge AI or research projects to run at scale.

  • Regional-sovereign data infrastructure
  • Specialized networking and storage
  • Fully managed GPU cloud
  • Kubernetes-on-Demand
  • Ori Professional Services

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

Cost-effective at massive scale

Ori is able to offer more competitive pricing year-on-year, across on-demand instances or dedicated servers. When compared to per-hour or per-usage pricing of legacy clouds, our GPU compute costs are unequivocally cheaper to run large-scale AI workloads.

NVIDIA® hardware in the cloud

From bare metal, to virtual machines, to private NVIDIA® SuperPOD HGX and DGX clusters, Ori provides the high-end hardware designed for AI, but deployed on a fully managed cloud infrastructure built for ease of use.

Kubernetes experiences on GPUs

From bare metal and virtual machines, to private NVIDIA® SuperPOD HGX and DGX clusters, Ori provides a layer of containerized services that abstract AI infrastructure complexities across CI/CD, provisioning, scale, performance and orchestration.

Join the new class of AI infrastructure

Build a modern cloud with Ori to accelerate your enterprise AI workloads at supermassive scale.