TD SYNNEX has announced the expansion of its AI Infrastructure-as-a-Service portfolio by deploying dedicated NVIDIA HGX™ B300 clusters on Nebius AI Cloud. Through this new offering, delivered as part of the TD SYNNEX x Nebius AI Cloud, partners gain reserved access to high-performance GPU infrastructure designed to support enterprise-scale AI development and deployment.
Importantly, this deployment marks a significant milestone, as it is the first time a global IT distributor has secured a dedicated NVIDIA AI factory-grade cluster from an AI-native cloud provider. As a result, TD SYNNEX can now provide predictable and scalable AI infrastructure across its partner ecosystem, addressing one of the most pressing challenges in enterprise AI adoption.
One of the biggest barriers organizations face when implementing AI is inconsistent access to high-performance computing resources. However, by reserving GPU capacity in advance, TD SYNNEX enables partners to allocate dedicated resources directly to customer workloads. Consequently, businesses can accelerate their transition from AI experimentation to production-ready deployments.
“Access to dedicated AI infrastructure is becoming essential for partners helping enterprises operationalize AI,” said Francisco Criado, senior vice president, Cloud, Security and AI, TD SYNNEX North America. “With the TD SYNNEX x Nebius AI Cloud, our partners gain reliable access to the GPU capacity they need to develop, test and scale real-world AI workloads enabling faster time to value for enterprise customers.”
Furthermore, the platform aligns with NVIDIA Enterprise Reference Architecture, ensuring it can support sustained training and inference workloads. With built-in security, workload isolation, and operational reliability, the solution provides a strong, production-ready foundation for delivering enterprise AI applications.
“The enterprise shift to AI requires dedicated, high-performance infrastructure to ensure the consistent, reliable delivery of production-ready solutions,” said Craig Weinstein, vice president, Americas Partner Organization at NVIDIA. “By bringing NVIDIA AI factory into the channel through this deployment, we are empowering a global ecosystem to accelerate the transition from AI development to scalable enterprise deployment.”
In addition, the infrastructure integrates seamlessly with NVIDIA AI Enterprise software, including NVIDIA NIM microservices and NVIDIA AI Blueprints. Combined with independent software vendor (ISV) tools and services, this enables partners to deliver complete, enterprise-ready AI solutions. While TD SYNNEX focuses on commercialization and go-to-market execution, Nebius manages the underlying infrastructure, allowing partners to concentrate on innovation and customer outcomes.
“Enterprise AI demand is real, but execution stalls when infrastructure isn’t guaranteed,” said Laurelle Roseman, vice president, Global Partnerships at Nebius. “The TD SYNNEX x Nebius AI Cloud ensures partners are delivering real AI solutions on committed production capacity.”
Moreover, ecosystem partners such as Aible are already leveraging this infrastructure to scale agentic AI workflows. This demonstrates how the platform supports real-world use cases, helping organizations move quickly from pilot stages to full-scale deployment.
“Nebius makes it easy for Aible to move our customer use cases from experimentation to production,” said Arijit Sengupta, founder and CEO of Aible. “Its alignment with NVIDIA Enterprise Reference Architecture meant we were able to install and optimize our platform on Nebius in under two hours and made our full agent marketplace, as well as long-running agents, available for enterprise-scale workloads now accessible to more partners through TD SYNNEX.”
Overall, this expansion underscores TD SYNNEX’s commitment to enabling enterprise AI adoption at scale. By combining dedicated GPU infrastructure, robust software integration, and a strong partner ecosystem, the company is helping organizations overcome infrastructure challenges and unlock the full potential of AI.
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