Hewlett Packard Enterprise vs Super Micro Computer

Turnkey private AI stack co-engineered with NVIDIA, sold as integrated compute, storage and networking with a console to deploy, monitor and govern enterprise AI agents and models.

8-GPU air-cooled server with NVIDIA Blackwell Ultra (B300 HGX) accelerators for large AI model training, tuning and inferencing, part of NVIDIA AI Computing by HPE.

4U rack server for AI inference supporting up to ten double-wide NVIDIA GPUs and Intel Xeon 6 processors.

Rack server for generative AI workloads with up to two NVIDIA GH200 NVL2 superchips, used to train and deploy larger AI models and as a building block of HPE Private Cloud AI.

10U rack server for production AI with two AMD EPYC 9006 processors and up to eight double-wide GPUs, for inference, RAG and agentic AI workloads.

8-GPU server for large AI model training with a choice of NVIDIA or AMD Instinct accelerators and AMD EPYC 9005 processors.

Multi-tenant developer console for Supermicro GPU clusters that provisions GPU slices and ML pipelines in one click for training, fine-tuning, inference and benchmarking, with quotas, RBAC and GPU-utilisation monitoring.

Turnkey liquid- or air-cooled AI clusters of NVIDIA GPU servers, built, tested and delivered as full racks for model training and inference.

Supermicro's end-to-end AI data-centre offering that combines its GPU systems, storage, in-rack and in-row liquid cooling, power, networking, site cooling towers, management software and on-site deployment services into one validated build.

Liquid-cooled deskside or 5U rack AI system built on one NVIDIA GB300 superchip, with 748GB of coherent memory and 20 PFLOPS of FP4, for running, fine-tuning and developing AI models and agents on premises.