InfortrendInfortrend Technology, Inc., a leading provider of enterprise storage and artificial intelligence solutions, announced the expansion of its edge computing portfolio. The updated product portfolio, divided into different solution categories, is designed to meet the requirements of edge AI workloads, from single-node systems to highly resilient, clustered deployments.
As organizations increasingly process data at the point of creation, an infrastructure capable of handling edge AI inference, virtualization, and containerized applications has become an operational necessity. However, edge deployments vary significantly in terms of scale, performance requirements, and IT resources. To meet these diverse needs, Infortrend offers a comprehensive portfolio of edge computing solutions, including hardware and fully integrated turnkey solutions, designed to support a wide range of operational environments.
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Edge Computing Portfolio
Bare Metal Hardware
- Edge Hardware : Purpose-built servers optimized for edge environments, designed for organizations that prefer to run their own custom software stacks.
Turnkey Edge AI Solutions
Pre-configured with operating systems and software to run traditional and container-based applications, these solutions are ready for rapid deployment right out of the box, and each is tailored to different scale and availability requirements.
- Standalone Edge : A single-node solution ideal for remote facilities without dedicated IT personnel; it delivers enterprise-level computing power in a compact system with minimal installation and operating costs.
- HA Edge : A redundant, two-node, high-availability solution designed to deliver maximum uptime. This feature ensures that edge workloads continue to operate uninterrupted during node failures, making it an ideal solution for operationally critical facilities where downtime is unacceptable.
- Advanced Edge : A scalable cluster of 3 to 5 nodes with automatic failover and dynamic resource scaling capabilities; provides the high-performance computing power needed to support large-scale edge AI workloads.
These deployment models are based on two specifically designed hardware series that provide the computing infrastructure for each solution:
- The KS 3000U – Equipped with a single AMD EPYC™ 8004 processor and up to two GPUs, this series is optimized for space-constrained environments.
- The KS 5000U – Equipped with dual Intel® Xeon® or AMD EPYC™ 9004/9005 processors with up to 320 CPU cores and supporting up to four GPUs, this system delivers the performance needed for the most demanding and computationally intensive workloads.
“Processing data at the edge eliminates latency and reduces reliance on the cloud; however, uptime and scale requirements vary greatly across different facilities. To address this issue directly, we have expanded our product portfolio so that businesses can build the infrastructure that perfectly suits their operational scope,” said Frank Lee, Senior Director of Product Planning at Infortrend Technology.
Source: PRNewswire
