High-Performance GPU on Demand for Training Purposes
Full managed AI infrastructure - instantly accessable via API. Available in Summer 2026.
Full managed AI infrastructure - instantly accessable via API. Available in Summer 2026.
From large-scale training to rapid inference, our Virtual AI Cloud delivers the essential infrastructure and tools for your entire AI lifecycle-all within a sovereign, high-performance environment.
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✓ A single control plane for any AI workload, from training to inference, across cloud and on-prem. |
✓ Train demanding models on thousands of NVIDIA GPUs, interconnected with ultra-low-latency networking for peak performance. |
✓ Spin up powerful NVIDIA GPU instances in seconds. Perfect for rapid prototyping, ML experiments, and scalable inference. |
✓ Streamline your entire ML lifecycle, from experiment tracking to model deployment, with a fully managed MLflow service. |
✓ Process massive datasets at speed with a fully managed and optimized Spark environment for your data and ML pipelines. |
✓ Deploy a rich ecosystem of MLOps tools and open-source software with one-click Kubernetes applications. |
Core offers a range of services to complement your AI infrastructure, including compute, storage, and container management.
Run GPU virtual machines and clusters within our robust cloud environment.
Store, access, share, and manage large amounts of unstructured data with ease.
Effortlessly manage your compute clusters with our fully-managed Kubernetes service.
Securely store and manage your container images.
Store your structured data in a popular and reliable object-relational database.
Sovereign high-performance NVIDIA HGX B300 GPU instances in Europe, available as bare metal or GPUaaS. Train, fine-tune and deploy frontier AI workloads with the performance of a hyperscaler and the control of dedicated infrastructure.
The HGX B300 doubles attention performance for transformer and long-context workloads compared to the previous generation, accelerating modern reasoning and retrieval models.
With 2.1 TB of high-speed GPU memory, the HGX B300 supports larger models, longer sequences and higher concurrency without running into memory bottlenecks.
High-bandwidth interconnects deliver 1.6 TB/s of networking bandwidth per node, enabling seamless scaling across multi-node clusters for distributed training and inference.
Specifications compare the NVIDIA HGX B300 NVL16 to the HGX B200.
Experience groundbreaking performance with the NVIDIA GB300 Grace Blackwell Ultra Superchip, featuring 72 Blackwell Ultra GPUs and 36 Grace CPUs with up to 40 TB of fast memory and 130 TB/s NVLink bandwidth.
Larger memory capacity allows for larger batch sizing and maximum throughput performance. NVIDIA Blackwell Ultra GPU's offer 1.5x larger HBM3e memory.
Unlocking the full potential of accelerated computing requires seamless communication between every GPU.
The NVIDIA ConnectX-8 SuperNIC's input/output (IO) module hosts two ConnectX-8 devices, providing 800 gigabits per second (Gb/s) of network connectivity for each GPU.
Performance is based on the GB300 NVL72 Superchip, featuring 72 NVIDIA Blackwell Ultra GPUs and 36 NVIDIA Grace CPUs with up to 40 TB fast memory and 130 TB/s NVLink bandwidth.
Polarise has achieved NVIDIA Preferred Partner status and is listed as official NVIDIA Cloud Service Provider (CSP), solidifying our position as a trusted leader in cloud innovation. This designation is reserved for select partners who operate large clusters built in coordination with NVIDIA, adhering to a tested and optimized reference architecture.
Extend your private infrastructure directly to our AI cloud with dedicated, physical Cross-Connects within major European data centers, enabling true hybrid integration for your most demanding AI workloads.
Minimize network delay for real-time inference and performance-critical applications by connecting directly within the data center.
Bypass the public internet with a dedicated, physical connection-ensuring your data stays protected in transit.
Predictable, high-throughput links for large dataset transfers, model training, and high-volume inference.
Unify your on-premise or co-located resources with our managed AI platform for seamless hybrid operations.
Control your data pathways and meet compliance needs with connectivity across major European data center hubs.
Access the latest NVIDIA servers and clusters, optimized for demanding AI workloads and scalable on demand.
Find answers to common questions about the Polarise Cloud platform.
