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Tachyum is enabling human brain-scale AI and advancing the entire world to a greener era, by delivering the world’s first universal processor.


Volume 4, Number 1, February 2024

Prologue picture

Dr. Radoslav Danilák, Founder and CEO of Tachyum

It is my pleasure to share with you our position for 2024, a year, that we expect will be exceptional for Tachyum.

In 2023, the entire semiconductor industry experienced the world’s worst downturn in years. According to Jefferies’ (an American multinational independent investment bank and financial services company) estimates based on the World Semiconductor Trade Statistics, the last downcycle bottomed in April 2023 at -21.6% YoY growth. Jefferies believes that we are currently in the initial stages of the next upcycle and forecast growth to accelerate through 2024 to a cycle peak in 2025. Whereas, historically, there is a close correlation between the semiconductor cycle and valuation multiples of semiconductor stocks. According to the website Layoffs.fyi in 2023, 1178 tech companies laid off more than 260,000 employees. In the USA several hundred high-tech startups disappeared.

Tachyum showed its resilience during a challenging 2023 and has achieved other important milestones preparing Tachyum’s Prodigy processor chip for production. The successes we were able to achieve while tweaking our product roadmap have brought us to 2024 full of anticipation as we move towards volume production of Prodigy and the fulfillment of a multibillion-dollar sales pipeline.

In 2024 we expect increased Business Development. With the final reference chip available, we will target early adopter markets, including high performance computing and artificial intelligence applications. In 2023 we received a major purchase order from a U.S. company to build a large-scale system based on the Prodigy Universal Processor chip. With Prodigy’s performance of 50 EF of FP64 and 8 ZF of AI training for large language models, the announced system has gained a lot of attention from other interested parties looking to build a similar scale systems for their AI applications and workloads. Among the customers who plan to use Prodigy processors is a company that, according to the UN program, is working on the most environmentally friendly data center in the world.

Details for a new approach to designing HPC/AI supercomputer data centers have been released as part of a series of Tachyum whitepapers written to prepare developers for what they can expect when Prodigy is commercially available. To put Prodigy’s capabilities into perspective, a 1.6 trillion parameters Switch Transformer would require 52 NVIDIA H200 80GB GPUs at a cost of $41,789 each and seven Supermicro GPU servers at $25,000 each for a total cost of $2,348,028. In contrast, a single socket Prodigy system with 2TB of DDR5 DRAM could fit and run these large language models and bring them into the mainstream for generative AI applications for only $23,000 – 1/100th the cost of the first example.

Our Tachyum team diligently worked throughout 2023 to ensure that we are positioned at the precipice of success for 2024. We expect major advancements in product development. Our Prodigy reference design will soon be revealed, once the team finishes final debugging and cleaning of the chip.

SC23 header

Tachyum Participated in SC23

In November 2023, Tachyum was a part of Supercomputing 2023 Event (SC23) in the Colorado Convention Center in Denver, USA.

The SC23 event gathered a record-breaking 14,295 attendees and 438 exhibitors, which reflects the world’s expanding interest in HPC. 89 journalists and analysts were registered, covered the event, and delivered news about the conference to key audiences.

I Am HPC” was the SC 23 theme, which served to remind everyone that they are an equal and welcome contributor to the thriving HPC (High Performance Computing) community.

We registered a very good quality of visitors at Tachyum booth, met our key partners like Eviden, Chenbro or CGG and created new contacts with potential partners and suppliers like Malico, Micas Networks, Picotest, Nvent, Xscape Photonics, CPC or Omni Services.

62nd edition of TOP500

During the conference, the 62nd edition of the TOP500 list of the world’s fastest supercomputers was announced. TOP500 serves as a “Who’s Who” in the field of High Performance Computing. It started as a list of the most powerful supercomputers in the world and has evolved to a major source of information about trends in HPC. The list is compiled using the Linpack benchmark. LINPACK measures a system’s floating-point computing power by solving a random, dense system of linear equations to determine performance and accuracy.

A detailed analysis of the TOP500 was presented by Dr. Erich Strohmaier, cofounder of the TOP500 list, at BoF (Birds of Feather) session.

The Frontier system at the Oak Ridge National Laboratory, Tennessee, USA remains the No. 1 system on the TOP500 and is still the only system reported with an HPL (High-Performance LINPACK) performance exceeding one Exaflop/s. No. 2, The Aurora system at the Argonne Leadership Computing Facility, Illinois, USA is currently being commissioned and will at full scale exceed Frontier with a peak performance of 2 Exaflop/s. It was submitted with a measurement on half of the final system achieving 585 Petaflop/s.

Newly listed as No. 3 The Eagle system installed in the Microsoft Azure cloud in the USA achieved an HPL score of 561 Petaflop/s. The fastest European supercomputer the LUMI system at EuroHPC/ CSC in Finland has been further upgraded and is now listed as No. 5 with HPL score 380 Petaflop/s.

Dr. Strohmaier presented also a list of the systems based on the HPL-MxP (formally HPL-AI) benchmark, which measures performance for mixed-precision calculation. No. 1 Frontier demonstrated 9.95 Exaflop/s.

Historical data on performance increases and core-counts illustrated the progression of the processor performance plateau. In the end of the session, Dr. Strohmaier said that it is “unlikely to achieve 10 Exascale by the end of the decade unless we fundamentally change ‘business’”. It confirms that new technology, like the world’s first universal processor Prodigy, is essential for the development of further progress.

We are looking forward to SC24 which will take place in Atlanta at the Georgia World Conference Center. The SC24 conference theme is “HPC Creates” and will focus on the enormous generative power that supercomputing affords the modern world.

New White Papers

Tachyum Democratizes AI for All with $5000 Prodigy ATX Platform

Tachyum released a white paper that details how its Prodigy ATX Platform will democratize AI for those who may not normally have access to sophisticated AI models. The Prodigy ATX Platform allows everyone to run cutting-edge AI models for as low as $5,000.

Built from the ground up to provide leading-edge AI features that address the emerging demand for AI across a wide range of applications and workloads, Prodigy’s AI subsystem incorporates innovative features that deliver the high performance and efficiency required of AI environments. The white paper shows how a single Prodigy system with 1 Terabyte (TB) of memory can run a ChatGPT4 model with 1.7 trillion parameters, whereas it requires 52 NVIDIA H100 GPUs to run the same model at significantly higher cost and power consumption.

Decorative quotemark

“Generative AI will be widely used far faster than anyone originally anticipated. In a year or two, AI will be a required component on websites, chatbots and other critical productivity components to ensure a good user experience. Prodigy’s powerful AI capabilities enable LLMs to run much easier and more cost-effectively than existing CPU+GPGPU-based systems, empowering organizations of all sizes to compete in AI initiatives that otherwise would be dominated by the largest players in their industry.”

Dr. Radoslav Danilák


Tachyum 8 AI Zettaflops Blueprint to Solve OpenAI Capacity Limitation

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

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.

Decorative quotemark

“After our announcement of the purchase order we received this year, we attracted a lot of attention from other interested parties, several of them large organizations, looking to build a similar scale system for their AI applications and workloads. Prodigy’s system architecture fits well into a wide range of deployments, including those that need data center scale-out once the infrastructure for it is already in place. The scale of machines enabled by this new HPC/AI supercomputer data center likely will determine who will win the fight for compute and AI supremacy in the world”

Dr. Radoslav Danilák


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

Tachyum released 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.

Tachyum addresses massive LLM models with capabilities that have dramatically increased by more than a thousand times over the past few years. Examples of these increases include ChatGPT-3.5 LLM with 175 billion parameters, the PALM LLM with 530 billion dense parameters and the Switch Transformer with 1.6 trillion sparse parameters.

Decorative quotemark

“By combining TAI 4-bit and effective 2-bit weights with FP8 per activation, we are capable of quantizing LLMs without much accuracy degradation. Our techniques avoid expensive multiplication while simultaneously reducing the size of the model by 4x to 8x, enabling generative AI models that can be applied in use cases from complex language modelling tasks, text generation, drug and chip design, few-shot learning and reasoning to protein sequence modelling. Whole new avenues of calculations can be opened with Tachyum AI.”

Dr. Radoslav Danilák


Latest Achievements

Tachyum Successfully Runs FreeBSD on Prodigy FPGA Prototype

Tachyum 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.


Tachyum Prodigy Complete Software Package Enters Testing

Tachyum has completed the 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 2024.


Tachyum Runs Supercomputing Vector LINPACK on Prodigy FPGA

Tachyum has completed vector-based High-Performance LINPACK (HPL) testing using 1kb vectors on the Prodigy FPGA.

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Tachyum® and Tachyum Prodigy®, TPU® are trademarks of Tachyum Ltd, registered in the United States and other countries. All other brand and product names are trademarks of their respective owners. This document is provided for informational purposes only. All statements regarding Tachyum's future direction and intent are subject to change or withdrawal without notice and represent goals and objectives only. © 2019-2024 Tachyum, Inc. All rights reserved.

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