VyperCore boosts performance by 5X

UK processor startup VyperCore has unveiled the initial outcomes from its VyperLab evaluation platform. Through the utilization of the Python community’s PyPerformance unmodified benchmark code, the RTL of a custom RISC-V processor has demonstrated up to 5x performance enhancements on existing code without the need for recompilation.

Russel Haggar, the chief executive of VyperCore, has disclosed that the company is currently exploring potential technology collaborations with three of the industry’s top processor vendors. This strategic move aims to foster innovation and drive advancements in processor technology.

One of VyperCore’s key initiatives includes the development of a 5nm RISC-V server chip and card. This project is set to revolutionize the server market by offering high-performance, energy-efficient solutions that cater to the evolving needs of datacenters and cloud computing environments.

Furthermore, VyperLab, which was introduced last month, enables developers to assess the architecture on RTL of a RISC-V processor in the cloud without requiring any code modifications. By running workloads on VyperCore’s processor architecture and comparing performance with traditional unaccelerated platforms, developers can gain valuable insights into the efficiency and capabilities of the technology.

The remarkable 5x performance boost achieved through VyperCore’s processor translates into substantial reductions in energy consumption for a given volume of CPU computation. This efficiency gain not only enhances the overall performance of computing systems but also contributes to environmental sustainability by reducing power consumption.

VyperCore’s Booth processor family is initially focused on addressing the demands of datacenter deployments, where it will provide cutting-edge silicon and accelerator hardware. Looking ahead, the underlying technology developed by VyperCore is poised to empower CPUs of various architectures and sizes, enabling them to deliver superior performance while consuming less energy. This innovation holds the potential to benefit a wide range of applications, from network edge devices to laptops, smartphones, and IoT gadgets.