Featured articles
| TechRadar Pro'Run AI models for as low as $5,000': plucky CPU startup that claimed 99% saving on AI costs now wants to sell you an AI workstation — with an unbelievable price tag and 1TB RAM
| Tom's HardwareTachyum announces questionable 96-Core Prodigy-based AI workstation — $5,000 system also supposedly includes 1TB of memory
| TechRadar Pro1/100th of the cost: CPU startup Tachyum claims that one of its processing units can rival dozens of Nvidia H200 GPUs — with a 99% saving that could turn the AI market on its head if true
| InvestorsHubTachyum Cuts Cost of Large Language Models Up to 100x Bringing them to Mainstream
| The RegisterTachyum says someone will build 50 exaFLOPS super with its as-yet unfinished chips
| The Wall Street JournalThe Next Challengers Joining Nvidia in the AI Chip Revolution
All articles
June
- | TechRadar
Tachyum says it's one step closer to Prodigy release
Built using field-programmable gate array (FPGA) emulation boards, Tachyum has been hailing Prodigy’s significantly improved performance and lower lower energy consumption for the past few years.
- | EE Journal
Are We Ready for Human Brain-Scale AI?
Targeted at hyperscale data centers, the Prodigy Universal Processor architecture is predicted to out-perform central processing units (CPUs), graphics processing units (GPUs), and tensor processing units (TPUs) for data center, artificial intelligence (AI), and high-performance computing (HPC) applications. For example, Prodigy will outperform NVIDIA’s fastest GPU in HPC, as well as AI training and inference tasks (125 HPC Prodigy racks can deliver 32 tensor EXAFLOPS).
May
- | Business Talk Magazine
Meet Dr. Radoslav Danilak- The Man Behind Tachyum
Prodigy’s intense computing muscle can help AI use cases in particular. Convolutional neural networks, deep learning AI, symbolic AI, general AI, and bio AI are the disciplines that have emerged in recent years, each with its own set of algorithms and computing criteria. Human brain modeling, meanwhile, is in high demand by R&D ventures due to its promise of extracting information from large data sets. The Tachyum Universal Processor Platform is suitable for projects like the real-time Human Brain Project, which needs more than 1019 Flops (10,000,000,000,000,000,000 floating-point operations per second – 10 exaflops), as well as supplying computing resources for science and engineering solutions that today’s systems cannot offer.