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Select from the latest generation of high-end NVIDIA GPUs designed for AI workloads. Our team can advise you on the ideal GPU selections, network and storage configurations for your use case.
The NVIDIA GH200 Grace Hopper™ Superchip is a breakthrough design with a high-bandwidth connection between the Grace CPU and Hopper GPU to enable the era of accelerated computing and generative AI.
The superchip delivers up to 10X higher performance for applications running terabytes of data, enabling scientists and researchers to reach unprecedented solutions for the world’s most complex problems.
The NVIDIA H100 is an ideal choice for large-scale AI applications. NVIDIA Hopper that combines advanced features and capabilities, accelerating AI training and inference on larger models that require a significant amount of computing power.
From deep learning training to LLM inference, the NVIDIA A100 Tensor Core GPU accelerates the most demanding AI workloads. Up to 4x improvement on ML training over the V100 on the largest models. Up to 5.5x improvement on top HPC apps over the V100.
Ori has experience in providing AI infrastructure on the most powerful GPU assemblies on the market—whether you need NVIDIA HGX 8x GPU boards, or a massive NVIDIA DGX ecosystem for AI at scale.
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.
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.
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.
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.
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.
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.
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.
Guarantee access and pay 81% less 💸 on GPU compute compared to the well-known 😉 cloud providers.
We go above and beyond to find metal for you when GPUs are scarce and unavailable.
Ori specialises only in AI use cases, enabling us to be a low-rent GPU cloud provider.
Highly configurable compute, storage and networking, from one GPU to thousands.
On-demand cloud access to NVIDIA’s top Tensor Core GPUs: H100, A100 and more.