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  1. Kalendr Piktogram


    1. | Tech News Space

      The power of 52 NVIDIA H200 accelerators at a hundredth of the cost – Tachyum will begin mass production of 192-core Prodigy chips this year

      Tachyum announced that this year it will begin mass production of the general-purpose processor Prodigy, which combines computing and graphics cores and a TPU neural engine. The manufacturer promises that the new product can offer an outstanding level of performance and compete with the most powerful NVIDIA computer accelerators.

    2. | Junge Freiheit

      Die EU und der Technologiewettlauf: Einsen dort, Nullen hier?

      Die EU forscht an Prozessoren für stromsparendes Rechnen und hat die sogenannte European Processor Initiative (EPI) ins Leben gerufen. Startups wie Sipearl oder Tachyum sollen den Kontinent weniger abhängig von US-amerikanischen Herstellern wie AMD oder Intel machen.

    3. | KillerStartups

      Tachyum’s Prodigy Processor Targets 2024 Production

      As Tachyum approaches large-scale production for the Prodigy processor, Danilak is enthusiastic about realizing the company’s mission to evolve traditional data centers into Universal Computing Centers in the near future. This transformative endeavor aims to deliver unmatched processing capabilities, energy efficiency, and cost-effectiveness to meet the growing demands for high-performance computing across industries.

    4. | HPC Wire

      Tachyum Caps 2023 with Significant Progress, Aims for Strong 2024 with Prodigy Processor

      Anticipated company highlights of the coming year include:

      • Advancements in Product Development – Reference design is expected to soon be revealed once the Tachyum team finishes final debugging and cleaning of the chip.
      • Increased Business Development – With the final reference chip available, Tachyum will target early adopter markets, including high performance computing and artificial intelligence applications.
    5. | AI-TechPark

      Tachyum Well Positioned for an Exceptional 2024

      Tachyum diligently worked throughout 2023 to ensure that it is positioned at the precipice of success for the coming year. Achievements in hardware and software, advancements in IP component technology and a major purchase order to build a large-scale system were key contributing factors that are expected to benefit the company’s upcoming year.

    6. | Morningstar

      Tachyum Well Positioned for an Exceptional 2024

      With volume production of Prodigy®, the world’s first Universal Processor, scheduled for 2024, Tachyum® officials expect to build off the momentum it gained through a series of successes last year while capitalizing on the current semiconductor upcycle to revolutionize the data center.

  2. Kalendr Piktogram


    1. | AI-TechPark

      Tachyum 8 AI Zettaflops Blueprint to solve OpenAI Capacity Limitation

      Tachyum®, creator of Prodigy®, the world’s first Universal Processor, today released a white paper that presents how Tachyum’s customers planning to build a new HPC/AI supercomputer data centers far exceeding not only the performance of existing supercomputers but also the target performance for next-generation systems.

    2. | FinancialContent

      Tachyum 8 AI Zettaflops Blueprint to Solve OpenAI Capacity Limitation

      Built from the ground up to provide the highest performance and efficiency, Prodigy’s revolutionary new architecture enables supercomputers to be deployed in fully homogeneous environments, providing simple development, deployment and maintenance. The solution is ideally suited for OpenAI, others like Microsoft Azure, CoreWeave, Ori, etc. and research facilities needing AI datacenters that today do not have the system architecture capable of serving all interested customers.

    3. | Electronicsclap

      Prodigy’s Vector LINPACK Win Marks Tachyum’s Supercomputing Breakthrough

      Key to Prodigy’s exceptional performance is its vector unit, boasting two pipelines with a 1024b-wide data path. Executing 2x1K SIMD operations per cycle, Prodigy delivers an outstanding 32 double precision Fused IEEE floating-point multiply-add operations per cycle, resulting in 64 double precision floating-point operations per core.

    4. | Yahoo! Finance

      Tachyum Runs Supercomputing Vector LINPACK on Prodigy FPGA

      Vector instructions have been verified running cleanly on the Prodigy FPGA, including vectorization in GNU Compiler Collection (GCC), libraries, Linux-supporting vectors, as well as running applications and delivering the correct results.

    5. | MarketWatch

      Tachyum Runs Supercomputing Vector LINPACK on Prodigy FPGA

      Tachyum®, creator of Prodigy®, the world’s first Universal Processor, today announced it has successfully completed vector-based High-Performance LINPACK (HPL) testing using 1kb vectors on the Prodigy FPGA.

  3. Kalendr Piktogram


    1. | TMCnet

      Tachyum Prodigy Complete Software Package Enters Testing

      Tachyum® today announced that it has completed development of the software stack for the Prodigy® Universal Processor and has now entered the alpha testing phase in preparation of chip production and distribution planned for next year.

    2. | StreetInsider

      Tachyum Prodigy Complete Software Package Enters Testing

      The Prodigy software distribution is a completely integrated software stack and package that is ready for deployment “as is.” It is available as a single pre-installed image for Tachyum’s early adopters and customers.

    3. | Morningstar

      Tachyum Cuts Cost of Large Language Models Up to 100x Bringing them to Mainstream

      Tachyum® today announced the release of a white paper detailing how to use 4-bit Tachyum AI (TAI) and 2-bit effective per weight (TAI2) formats in Large Language Models (LLM) quantization without accuracy degradation. Tachyum hardware also enables workable LLM with 1-bit per weight with higher degradation than TAI2 and its AI scientists are continuing to further improve performance to reduce degradation as Tachyum looks to bring it to mainstream.

    4. | InvestorsHub

      Tachyum Cuts Cost of Large Language Models Up to 100x Bringing them to Mainstream

      AI systems built on Prodigy universal chips with 256PB DDR5 DRAM (Dynamic Access Random Memory) using FP8 (8-bit floating point) and 4-bit Tachyum AI (TAI) data formats can fit up to 100 quadrillion parameter models. It can serve more than 150,000x ChatGPT models or 610,000x PALM2 models and represents huge possibilities for using LLM as a mainstream technology in various industries from retail and e-commerce, marketing, finance, cyber security, military to healthcare including faster drug development or practical implementation of personalized medicine in hospitals.

    5. | Yahoo! Finance

      Tachyum Successfully Runs FreeBSD on Prodigy FPGA Prototype

      Tachyum previously announced that it had completed FreeBSD porting. Applications for FreeBSD have now been added to the Quality Assurance (QA) testing timeline, which have been made a priority with the addition of FreeBSD to the FPGA prototype, in order to further satisfy customer demand.

    6. | EDACafe

      Tachyum Successfully Runs FreeBSD on Prodigy FPGA Prototype

      Tachyum® today announced that the FreeBSD operating system is now running on the Prodigy® FPGA prototype as part of efforts to ensure that customer requirements are met prior to tape-out of the world’s first universal processor. This announcement follows Tachyum successfully running the Linux OS as part of its emulation system.

  4. Kalendr Piktogram


    1. | Midgard Times

      The Prodigy Supercomputer Chip Aiming To Compete With The Human Brain

      Tachyum’s mission statement is an ambitious one – to make a chip that can support AI with the same scale and processing power as a human brain, and then some.

    2. | The Register

      Tachyum says someone will build 50 exaFLOPS super with its as-yet unfinished chips

      Tachyum’s first chip Prodigy hasn’t even taped out - let alone gone into mass production - but one customer has, we’re told, committed to buying hundreds of thousands of the processors to power a massive 50 exaFLOPS supercomputer. Compared to the largest supercomputers in the US, the machine detailed by Tachyum is much, much larger.

    3. | TechRadar Pro

      This YouTube video shows tiny Intel rival running x86 code in emulation — weeks after announcing 192-core monster CPU

      Tachyum has reached a key milestone in its bid to unseat several industry heavyweights

    4. | CoinMarketCap

      Tachyum Unveils Supercomputer with Over 50 ExaFLOP Performance

      Tachyum, a Slovak/US company, has revealed its groundbreaking supercomputer, expected to be operational by 2025, boasting an astonishing 50 exaFLOP performance, setting it 25 times ahead of contemporary systems.

    5. | eeNews Europe

      Tachyum to build 50 exaFLOP supercomputer

      The Tachyum supercomputer will have over 50 exaFLOP performance, 25 times faster than today’s systems and support AI models potentially 25,000 times larger with access to hundreds of petabytes of DRAM and exabytes of flash-based primary storage.

    6. | TMCnet

      Tachyum Books Purchase Order to Build System with 25,000x ChatGPT4 Capacity and 25x Faster than Current Supercomputers

      Tachyum announced that it has accepted a major purchase order from a US company to build a large-scale system, based on its 5nm Prodigy® Universal Processor chip, which delivers more than 50 exaflops performance that will exponentially exceed the computational capabilities of the fastest inference or generative AI supercomputers available anywhere in the world.

  5. Kalendr Piktogram


    1. | FinancialContent

      Tachyum Adds LLVM for AI and Linux Rust Support

      Tachyum announced the expansion of its Prodigy software ecosystem with the addition of LLVM for AI and Linux Rust support. This is the latest addition to an already rich and robust collection of applications, system software, frameworks and libraries running under QEMU emulation and tested by FPGA emulation in advance of Prodigy chip production.

  1. 2024

  2. 2023

  3. 2022

  4. 2021

  5. 2020

  6. 2019