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Tachyum Delivers the Highest AI and HPC Performance with the Launch of the World's First Universal Processor

Tachyum today launched the world's first universal processor, Prodigy, which unifies the functionality of a CPU, GPU and TPU in a single processor, creating a homogeneous architecture, while delivering massive performance improvements at a cost many times less than competing products.

After the company undertook its mission to conquer the processor performance plateau in nanometer-class chips and the systems they power, Tachyum has succeeded by launching its first commercial product. The Prodigy Cloud/AI/HPC supercomputer processor chip offers 4x the performance of the fastest Xeon, has 3x more raw performance than NVIDIA's H100 on HPC and has 6x more raw performance on AI training and inference workloads, and up to 10x performance at the same power. Prodigy is poised to overcome the challenges of increasing data center power consumption, low server utilization and stalled performance scaling.

Tachyum Successfully Runs FreeBSD in Prodigy Ecosystem; Expands Open-Source OS Support

Tachyum today announced it has completed validation of its Prodigy Universal Processor and software ecosystem with the operating system FreeBSD, and completed the Prodigy instruction set architecture (ISA) for FreeBSD porting. FreeBSD powers modern servers, desktops, and embedded platforms in environments that value performance, stability, and security. It is the platform of choice for many of the busiest websites and the most pervasive embedded networking and storage devices.

The validation of FreeBSD extends Tachyum's support for open-source operating systems and tools, including Linux, Yocto Project, PHP, MariaDB, PostgreSQL, Apache, QEMU, Git, RabbitMQ, and more.

Tachyum Selected for Pan-European Project Enabling 1 AI Zettaflop in 2024

Tachyum today announced that it was selected by the Slovak Republic to participate in the latest submission for the Important Projects of Common European Interest (IPCEI), to develop Prodigy 2 for HPC/AI. Prodigy 2 for HPC/AI will enable 1 AI Zettaflop and more than 10 DP Exaflops computers to support superhuman brain-scale computing by 2024 for under €1B. As part of this selection, Tachyum could receive a 49 million Euro grant to accelerate a second-generation of its Tachyum Prodigy processor for HPC/AI in a 3-nanometer process.

The IPCEI program can make a very important contribution to sustainable economic growth, jobs, competitiveness and resilience for industry and the economy in the European Union. IPCEI will strengthen the EU's open strategic autonomy by enabling breakthrough innovation and infrastructure projects through cross-border cooperation and with positive spill-over effects on the internal market and society as a whole.

Tachyum Boots Linux on Prodigy FPGA

Tachyum Inc. today announced that it has successfully executed the Linux boot process on the field-programmable gate array (FPGA) prototype of its Prodigy Universal Processor, in 2 months after taking delivery of the IO motherboard from manufacturing. This achievement proves the stability of the Prodigy emulation system and allows the company to move forward with additional testing before advancing to tape out.

Tachyum engineers were able to perform the Linux boot, execute a short user-mode program and shutdown the system on the fully functional FPGA emulation system. Not only does this successful test prove that the basic processor is stable, but interrupts, exceptions, timing, and system-mode transitions are, as well. This is a key milestone, which dramatically reduces risk, as booting and running large and complex pieces of software like Linux reliably on the Tachyum FPGA processor prototype shows that verification and hardware stability are past the most difficult turning point, and it is now obvious that verification and testing should successfully complete in the coming months. Designers are now shifting their attention to debug and verification processes, running hundreds of trillions of test cycles over the next few months, and running large scale user mode applications with compatibility testing to get the processor to production quality.

Tachyum Receives Prodigy FPGA DDR-IO Motherboard to Create Full System Emulation

Tachyum Inc. today announced that it has taken delivery of an IO motherboard for its Prodigy Universal Processor hardware emulator from manufacturing. This provides the company with a complete system prototype integrating CPU, memory, PCI Express, networking and BMC management subsystems when connected to the previously announced field-programmable gate array (FPGA) emulation system board.

The Tachyum Prodigy FPGA DDR-IO Board connects to the Prodigy FPGA CPU Board to provide memory and IO connectivity for the FPGA-based CPU tiles. The fully functional Prodigy emulation system is now ready for further build out, including Linux boot and incorporation of additional test chips. It is available to customers to perform early testing and software development prior to a full four-socket reference design motherboard, which is expected to be available Q4 2021.

Tachyum Prodigy Software Emulation Systems Now Available for Pre-Order

Tachyum Inc. today announced that it is signing early adopter customers for the software emulation system for its Prodigy Universal Processor, customers may begin the process of native software development (i.e. using Prodigy Instruction Set Architecture) and porting applications to run on Prodigy. Prodigy software emulation systems will be available at the end of January 2021.

Customers and partners can use Prodigy's software emulation for evaluation, development and debug, and with it, they can begin to transition existing applications that demand high performance and low power to run optimally on Prodigy processors. Pre-built systems include a Prodigy emulator, native Linux, toolchains, compilers, user mode applications, x86, ARM and RISC-V emulators. Software updates will be issued as needed.

Tachyum Prodigy Native AI Supports TensorFlow and PyTorch

Tachyum Inc. today announced that it has further expanded the capabilities of its Prodigy Universal Processor through support for TensorFlow and PyTorch environments, enabling a faster, less expensive and more dynamic solution for the most challenging artificial intelligence/machine learning workloads.

Analysts predict that AI revenue will surpass $300 billion by 2024 with a compound annual growth rate (CAGR) of up to 42 percent through 2027. AI is being heavily invested in by technology giants looking to make the technology more accessible for enterprise use-cases. They include self-driving vehicles to more sophisticated and control-intensive disciplines like Spiking Neural Nets, Explainable AI, Symbolic AI and Bio AI. When deployed into AI environments, Prodigy is able to simplify software processes, accelerate performance, save energy and better incorporate rich data sets to allow for faster innovation.

Tachyum Demo Shows Prodigy Will Be Faster Than NVIDIA and Intel Chips

Tachyum Inc. today announced that it has successfully completed a demonstration showing its Prodigy Universal Processor running faster than any other processor, HPC or AI chips, including ones from NVIDIA and Intel. This is the latest of many recent milestones achieved by Tachyum as the company continues its march towards Prodigy's product release next year.

Tachyum demonstrated how its computational operation and the speed of its product design, using an industry-standard Verilog simulation of the actual Prodigy post layout hardware, is the superior solution to current competitive offerings. Not only does Prodigy execute instructions at very high speeds, but Tachyum now has an infrastructure implemented for automatically checking correct results from the Verilog RTL. These automated tests check Verilog output for correctness compared to Tachyum's C-model, which was used to measure performance, and is now the 'Golden Model' for the Verilog hardware simulation to ensure it produces identical, step-by-step results.

Tachyum Shows Prodigy Running Existing x86, ARM, and RISC-V Software

Tachyum Inc. announced that its Prodigy Universal Processor has successfully completed software emulation testing across x86, ARM and RISC-V binary environments. This important milestone demonstrates that Prodigy will enable customers to run their legacy applications transparently at launch with better performance than any contemporary or future ARM or RISC-V processors. Coupled with hyperscale data center workhorse programs such as Hadoop, Apache and more, which Tachyum is recompiling to Prodigy native code, this capability will ensure that Prodigy customers can run a broad spectrum of applications, right out of the box. Tachyum customers consistently indicate that they would run 100% native applications within 9-18 months of transitioning to the Tachyum platform to exceed performance of the fastest Xeon processor. The emulation is to smoothly transition to native software for Tachyum Prodigy.

Tachyum Reveals HPC/AI Prodigy Motherboard at ISC 2020 Digital

Dr. Radoslav Danilak, founder and CEO of semiconductor startup Tachyum Inc., will discuss the company's "Gamechanger" universal processor reference design solution for HPC and AI environments as part of ISC High Performance 2020 Digital event June 22-25.

ISC 2020 Digital is an inaugural online event that focuses on bringing the most critical developments and trends in high-performance computing, machine learning and data analytics for the benefit of the global HPC community. Danilak presents "4 Exaflops AI Training With a 32 Rack Tachyum System" to help virtual attendees learn about the Tachyum universal processor architecture, performance, reference design motherboard, chassis, rack, switches, management software and system software that make up the reference design. The pre-recorded presentation will be available for viewing June 24 from 4 p.m. CEST to registered participants of the event and remain online for 14 days after it debuts.

Tachyum Achieves 90 Percent of Silicon Laid for its Prodigy Universal Processor

Semiconductor startup Tachyum Inc. announced today that it has achieved, on schedule, a major milestone in the detailed physical design of its Prodigy Universal Processor. Tachyum now has a complete chip layout, with a verified detailed physical design of more than 90 percent of the design silicon area.

Tachyum's Prodigy is the world's first Universal Processor, combining general-purpose processors, high-performance computing (HPC), artificial intelligence (AI), deep machine learning (ML), explainable AI, bio AI and other AI disciplines within a single chip. This latest milestone achieved integration of key, high-quality Tachyum IP within a multiprocessor environment, and with DDR4/DDR5 DRAM controllers, PCIE 5.0, 112Gb SERDES, USB, GPIO, PLLs and various I/Os. Results of the layout indicate that Prodigy's die size is within product design goals with top-level clocking results that are better than expected.

Tachyum Prodigy is a Small 128-core Processor with Crazy I/O Options, 64-core Sibling Enroute Production

Silicon Valley startup Tachyum, founded in 2016, is ready with its crowning product, the Tachyum Prodigy. The startup recently received an investment from the Slovak government in hopes of job-creation in the country. The Prodigy is what its makers call "a universal processor," which "outperforms the fastest Xeon at 10X lower power." The company won't mention what machine architecture it uses (whether it's Arm or MIPS, or its own architecture). Its data-sheet is otherwise full of specs that scream at you.

To begin with, its top trim, the Prodigy T16128, packs 128 cores on a single package, complete with 64-bit address space, 512-bit vector extensions, matrix multiplication fixed-function hardware that accelerate AI/ML, and 4 IPC at up to 4.00 GHz core clock. Tachyum began the processor's software-side support, with an FPGA emulator in December 2019 (so you can emulate the processor on an FPGA and begin developing for it), C/C++ and Fortran compilers; debuggers and profilers, tensorflow compilers, and a Linux distribution that's optimized it. The I/O capabilities of this chip are something else.
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