Designed for sporadic usage, fluctuating workloads or for testing and validation, this option lets you cost-effectively scale to meet peak demands with flexibility and accelerated speed-to-market. You can manage traffic spikes without over-provisioning resources and deploy and iterate on AI applications without long-term commitments.

Access predictable pricing and enterprise-tier controls for consistent workloads. Benefit from preferential rates compared to on-demand pricing in exchange for a usage commitment. Maintain data sovereignty by selecting the regions where your data is processed, ensuring your information always stays within your defined borders and under your control.

Exclusive, high-performance infrastructure to support your most demanding AI applications. Access data sovereignty and enhanced security measures with physically isolated hardware under your control, delivering optimal throughput and low latency. Avoid resource contention and performance degradation, even during periods of high platform-wide demand.

Bespoke inference environments designed to meet unique operational and sovereignty requirements, with tailored hardware, software and network configurations. We partner with you to design and build an inference environment from the ground up, ensuring every component is thoroughly aligned with your specific operational and performance goals.

Build large-scale, proprietary language models from the ground up. Leverage our extensive network of high-performance GPU clusters with sovereign data processing capabilities to execute training at massive scale.

Transform a general-purpose LLM into a domain-specific expert. Our fine-tuning service allows you to securely adapt pre-trained models using your own proprietary data, helping to increase accuracy and relevance for your unique business tasks – typically faster and more cost-efficient than training a model from scratch.

Take your trained or fine-tuned model and make it accessible, reliable and high performance. Our managed deployment services, such as Kubernetes and SLURM clusters, provide optimized infrastructure and tools to serve your model for inference – handling scalability, security and performance.

For unique challenges that require a tailored approach, we partner with you to design and build custom training environments and AI models that meet your specific technical, security and sovereignty needs.

Get scalable, on-demand compute resources optimized for the entire AI lifecycle. Efficiently run data preparation, model training and inference workloads with the flexibility to adapt as your projects evolve, ensuring optimal resource use and cost control.

Accelerate your most demanding AI models with dedicated, high-performance GPUs. Ideal for deep learning and complex data processing, our powerful compute instances significantly reduce training times and speed up your time-to-market for critical AI applications.

Fuel your AI applications with secure, high-throughput storage built to handle massive datasets. Our solution ensures your teams have fast, reliable access to data for training and analysis, all within a sovereign cloud environment that supports data compliance.

Connect and protect your AI ecosystem with Bell’s national high-speed, low latency fibre backbone. Benefit from robust, multi-layered security options to safeguard your sensitive data end-to-end. Learn more about our network and security solutions.