Cray has announced the latest addition to its CX1 series of deskside supercomputers. The LC variant promises to significantly reduce the entry-level pricing, with a base price below $12,000. This, in order to give access to a larger segment of users access to an affordable compute platform. The LC, or “Light Configuration” CX-1 is designed for a variety of customer use-cases, including:
.: An engineering team looking for its first cluster. The Cray CX1-LC offers a state-of-the-art Cray cluster architecture at an affordable price, with familiar working environments such as Windows HPC Server 2008 and Red hat Enterprise Linux
.: Scientists or engineers hitting the limits of workstation performance. The Cray CX1-LC system pricing starts at levels similar to high-end workstations but provides far more performance, flexibility and headroom for growth. The Cray CX1-LC supercomputer can place the dual benefits of a high-end workstation and a small cluster at a user’s desk.
.: A software developer looking for a dedicated system for development and testing. With a variety of available blades, the Cray CX1-LC deskside supercomputer allows customers to configure the system that best meets their needs.
.: A simulation project that is just starting but needs room to grow. The Cray CX1-LC system can easily be upgraded to a full Cray CX1(TM) supercomputer and beyond.
The original Cray CX1 system has proven to be a productive, powerful and easy-to-use HPC product for a growing number of researchers and scientists that have turned to Cray for their deskside supercomputing needs, and we expect the Cray CX1-LC will extend these benefits to an even larger number of HPC users,” said Ian Miller, senior vice president of the productivity and solutions group and marketing at Cray. “We specifically designed the Cray CX1 system to eliminate the barriers to adoption of HPC systems, and with the Cray CX1-LC, we have now eliminated cost barriers as well.”
The LC version comes with Intel Nehalem  series processors in a configuration of up to 4 compute blades. They have also included support for visualization and GPGPU blades as well. For more info, read the full release here.