Tachyum Advances System Software To Pre-Production State

Tachyum announced the latest progress made by its software team that advances the capabilities of its Tachyum Prodigy processor, as the company continues to progress towards production-ready status. Among the enhancements to Prodigy are improvements to its Unified Extensible Firmware Interface (UEFI) specification-based BIOS (Basic Input Output System) replacement firmware and the incorporation of the latest versions of the QEMU emulator and GNU Compiler Collection (GCC).

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Prodigy’s software stack – from ISA (instruction set architecture) through compilers to ported software – was developed to reduce integration time and ensure compatibility of Prodigy-based architectures. The advancements made in Tachyum’s most recent update are among the first in the company’s software plan for 2022 and position Prodigy for production-ready status with the first devices to be released later this year.

Among the enhancements of Prodigy’s software are:

UEFI

• Preproduction functionality added after previously demonstrating basic command line capabilities
• ACPI (Advanced Configuration and Power Interface) supported in UEFI and Linux
• Progression of work to run on FPGA (Field Programmable Gate Array), as well as on BMC (Baseboard Management Controller) hardware
• Enabling source code distribution for customers

QEMU 6.2

• Added peripherals needed for UEFI
• Added vector instructions
• Added virtualization support for KVM (Kernel-based Virtual Machine)
• Added access to early adopters through customer portal

GCC 11.2

• Added vectorization
• Added intrinsic instructions
• Added Go language support for virtualization in addition to C/C++ and Fortran
• Added access to early adopters through customer portal, with expected upstream in Q4

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Tachyum’s Prodigy processor can run HPC applications, convolutional AI, explainable AI, general AI, bio AI, and spiking neural networks, plus normal data center workloads, on a single homogeneous processor platform, using existing standard programming models. Without Prodigy, hyperscale data centers must use a combination of disparate CPU, GPU and TPU hardware, for these different workloads, creating inefficiency, expense, and the complexity of separate supply and maintenance infrastructures. Using specific hardware dedicated to each type of workload (e.g. data center, AI, HPC), results in underutilization of hardware resources, and more challenging programming, support, and maintenance. Prodigy’s ability to seamlessly switch among these various workloads dramatically changes the competitive landscape and the economics of data centers.

“The latest enhancements made by our software development team enable a wide array of capabilities in our Prodigy Universal Processor chip,” said Dr. Radoslav Danilak, founder and CEO of Tachyum. “These improvements will allow for quick and seamless integration of technologies into Tachyum-based environments when deployed in data centers. As we near volume production of Prodigy, it is imperative that our software provides the tools supercomputers require to transform the industry.”

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