Think unveils Think fabric at LEAP 2026 to optimize bare-metal AI compute

Think announced its Think Fabric platform at LEAP 2026 in Riyadh, marking a significant advancement in bare-metal, heterogeneous AI compute. The platform specifically addresses the critical industry challenge of underutilized AI hardware, claiming up to 92.3% sustained utilization across mixed silicon environments. This announcement shifts the focus from merely scaling infrastructure to maximizing efficiency and reducing the cost per token of AI, positioning Saudi Arabia as a hub for next-generation AI infrastructure innovation. The Think Fabric platform integrates three core technologies: Node for high-density cooling, ILM (Intelligent LLM Management system) for GPU orchestration, and Constellation for supercompute cluster scaling. Think unveiled Think Fabric at LEAP 2026 in Riyadh, positioning the platform as a solution for heterogeneous high-performance AI compute using mixed silicon. The Think Fabric platform integrates three core technologies to optimize AI workloads, beginning with the foundational hardware layer. The first is Node, a hardware component designed specifically for high-density cooling. Think states that the Node hardware offers up to 2.35x greater power density than comparable servers. This significant increase in power density is achieved via a patent-pending sealed-loop cooling system, allowing data centers to pack more compute power into smaller physical footprints while managing the immense heat generated by modern AI accelerators. This hardware foundation is crucial for supporting the intense demands of training and deploying large language models. By addressing the physical limitations of power and cooling, Think Fabric provides a pathway for more sustainable and scalable AI infrastructure deployments in the region. The ability to achieve such high power density without compromising cooling efficiency is a critical differentiator for the Node hardware. It directly addresses the growing concern over the energy consumption and physical space requirements of large-scale AI data centers. The patent-pending sealed-loop cooling system represents a significant engineering achievement, enabling Think to push the boundaries of what is possible in bare-metal AI compute. This innovation is expected to resonate strongly with enterprise customers looking to maximize their infrastructure investments while minimizing their environmental footprint. The second core technology within the Think Fabric ecosystem is ILM, an Intelligent LLM Management system designed for advanced software orchestration. ILM allows multiple models to share a single GPU to reduce idle time, a critical feature for maximizing the return on investment in expensive AI hardware. By dynamically allocating resources and ensuring that GPUs are constantly fed with data, ILM helps achieve the high utilization rates claimed by the company. This software layer is essential for unlocking the full potential of the underlying hardware, ensuring that computational resources are used as efficiently as possible. The third component, Constellation, handles supercompute cluster scaling. Constellation connects nodes using a high-bandwidth fiber optic interconnect, enabling heterogeneous high-performance AI compute using mixed silicon. This means organizations are not locked into a single vendor's hardware and can mix and match different types of accelerators to best suit their specific workloads. The ability to directly scale clusters while maintaining high performance is a key advantage of the Constellation technology. It provides the flexibility and scalability required to support the most demanding AI applications, from complex model training to large-scale inference tasks. By combining ILM and Constellation, Think Fabric offers a comprehensive solution for managing and scaling AI workloads across diverse hardware environments. The unveiling of Think Fabric at DeepFest 2026 highlights the growing importance of AI infrastructure in the Saudi Digital Economy. As organizations across the Gulf Region increasingly adopt AI technologies, the demand for efficient and scalable compute resources will only intensify. Think's approach to bare-metal AI compute offers a compelling alternative to traditional cloud-based solutions, particularly for enterprises with strict data sovereignty or latency requirements. The focus on efficiency and utilization, rather than just raw compute power, aligns with the broader industry trend towards more sustainable and cost-effective AI infrastructure. While the claimed 92.3% sustained GPU utilization is impressive, the result is not yet clear how Think Fabric will perform in real-world, large-scale deployments across diverse enterprise environments. The true test will be its adoption rate and the tangible cost savings it can deliver to early adopters in the competitive AI infrastructure market. The success of Think Fabric will depend not only on its technical capabilities but also on the company's ability to build a