Best Blade Servers

Compare Blade Servers
    Results: 23

    Consolidate storage, blade servers and networking into a scalable, virtualized data center with the Dell EqualLogic PS-M4110 Blade Array

    The BladeSystem c7000 enclosure provides all the power, cooling, and I/O infrastructure needed to support modular server, interconnect, and storage components today and throughout the next several years

    Provides the flexibility to optimize your core IT applications with right-sized storage for the right workload for a lower TCO.

    Make your IT infrastructure more agile and easier to manage with the scalability of the E9000 converged architecture blade server

    Huawei FusionServer X6000 is a 2U 4-node high-density server positioned for data centers with the scale-out architecture. It has been thoroughly optimized to deliver new levels of density to address the space and investment restrictions of data centers, and enables better space utilization as well as cost-benefits. The FusionServer X6000 is ideal for service scenarios such as cloud computing, web-based applications, and HPC.

    FusionServer X6800, with an advanced architecture, is designed for various applications such as cloud computing and Big Data, and is the optimal choice for IT infrastructure of a cloud data center.

    1U server node accelerates parallel HPC workloads with 72 cores and low latency options, up to 4 per 2U chassis

    Drive demanding HPC and scale-out workloads with a flexible platform that offers up to 4 dual-socket servers and high-capacity storage in a 2U rack.

    Tailor infrastructure to the job with compact blocks of server, storage and networking that neatly combine in the PowerEdge FX2 2U rack chassis

    Enhance data center efficiency with the shared power, cooling, networking and management infrastructure of the PowerEdge M1000e Blade Enclosure

    Deliver scalability and high density with a 2-socket, half-height modular blade server ideal for HPC, XaaS and virtualization

    Accelerate application performance, consolidation and time-to-value for data center or office workloads with manageable, high-density blades.

    Kate from G2 Crowd

    Learning about Blade Servers?

    I can help.