Product launch: GPU server with NVIDIA® Blackwell architecture
InoNet Computer is expanding its portfolio with three new GPU servers based entirely on the latest NVIDIA® Blackwell architecture. The systems cover a wide range of requirements – from powerful entry-level solutions to highly scalable performance platforms for the most demanding workloads.
Modern applications in the fields of generative AI, computer vision, and simulations place high demands on computing power, scalability, and reliability. InoNet’s new GPU servers have been developed to efficiently accelerate these workloads while meeting the requirements of industrial 24/7 deployment scenarios.
The new product line offers several key benefits: high performance thanks to the latest Blackwell technology, flexible, scalable configuration options and robust, industrial-grade components with a long planning horizon.
The portfolio covers different performance levels. The Mayflower®-ID-AM5 – GPU Server is a compact 2U platform that offers an economical entry point into GPU-accelerated applications and is available with either NVIDIA® RTX PRO™ 2000 or RTX PRO™ 4000 Blackwell GPUs.
The Mayflower®-II-R680E – GPU Server is positioned as a versatile 4U mid-range platform, combining Intel® Core™ i processors with an NVIDIA® RTX PRO™ 6000 Blackwell Max-Q Workstation Edition GPU. It is suitable for a wide range of demanding AI and visual computing scenarios.
The Mayflower®-II-SP5 – GPU Server is designed for the highest performance requirements. The scalable 4U platform combines AMD® EPYC™ processors with up to three NVIDIA® RTX PRO™ 6000 Blackwell Max-Q Workstation Edition GPUs and addresses highly computationally intensive AI training, simulations, and data-driven analytics.
With its new GPU server portfolio, InoNet offers a clear differentiation for every application scenario. From economical entry-level models to versatile mid-range configurations and highly scalable high-end systems, a wide selection is available to meet a variety of technical requirements and budget targets.
Eurotech builds on InoNet’s powerful GPU server platforms and expands them with an industrialized hardware and software stack for the productive use of AI-based inspection solutions. In addition to the computing platforms, Eurotech supplies robust edge gateways, edge AI hardware, and preconfigured server solutions that securely connect sensor data, camera systems, and industrial equipment and integrate them into end-to-end data and AI pipelines.
This forms the basis for certifiable solutions such as the ReliaCOR 55-20 based on the Mayflower®-ID-AM5 or the ReliaCOR 61-11 based on the Mayflower®-II-SP5. Local data processing at the edge reduces latency, lowers bandwidth costs, and keeps sensitive production data within your own network, while central management and security functions enable the scalable operation of distributed AI systems. Learn more about Eurotech’s industrial AI solutions here.