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PDP-11🚀— Telegram Channel

@pdp11mlChannelEN

AI Hardware & Domain Specific Computing #FPGA #ASIC #HPC #DNN @vconst89

ПубличныйОбновлён 19 март 2026

О канале

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The PDP-11 channel is a specialized technical community focused on the intersection of AI and hardware. Owned by a professional working in HFT strategies using FPGA platforms, the channel serves as a hub for technical resources ranging from Google's TPU papers and FPGA design tools (Vivado, HLS) to news on startups like Groq and Cerebras. The content emphasizes Domain Specific Architectures (DSA), ZKP accelerators, and the co-design of hardware-software stacks. Recently revived, the channel aims to transition from a link-aggregator to an interactive learning group focused on scaling deep learning models.

Аудитория

developers, researchers, chip designers, ai engineers

Контент

mixed

Активность

reviving / sporadic

Тональность

positive

ТехнологииИИhardwareFPGAAI AcceleratorsDeep LearningHPCChip DesignDomain Specific ArchitectureGoogle TPUZKPRISC-VHFTHardware-software Co-designIn-memory Computing

Статистика

Возраст
6y 8m
Созданавг 2019
Подписчики
405
день0
неделя-1
Публикации
182
вчера0
неделя0
месяц0
Ср. охват поста
Индекс упоминаний
Каналов2
Упоминаний2
Репостов630
Вовлечённость
Охват / Вовлечённость
Premium

Рост подписчиков

день 0неделя -1
405405.54062026-03-192026-03-302026-03-312026-04-012026-04-03
406405

Упоминают этот канал

The latest paper by David Patterson & Google TPU team reveals details of the world most efficient and one of the most powerful supercomputers for DNN Acceleration - TPU v3. The one which was used to…

Aug 27, 202016.7K70

NIVIDIA DPU by Forbes ⚡️Domain specific processors (accelerators) are playing greater roles in off-loading CPUs and improving performance of computing systems 🤖The NVDIA BlueField-2 DPU( Data Proce…

Oct 8, 202013.9K41

🏋🏼Google finally released TPU v4, it will be avaliable for customers later this year. 🥴The previous v3 version was unveiled in 2018 and the v4 is claimed to be twice as fast. 🌽TPU v4 combines in…

May 27, 20214.7K25

The fantastic book is finally generally available now! Efficient Processing of Deep Neural Networks This tutorial covers all aspects of model software and hardware design related to the this topic.…

Jun 29, 20202.7K60

A DomainSpecific Supercomputer for Training Deep Neural Networks

Aug 18, 20202.1K10
Aug 9, 2025

Re: Ask HN: How can ChatGPT serve 700M users when I can't run one GPT-4 locally? I work at Google on these systems everyday (caveat this is my own words not my employers)). So I simultaneously can te…

Aug 9, 202533983

Hey folks, That was a long period of silence here, but I'll try to breathe a new life to this channel  I'll do my best to post more frequently and not only ML hardware, but also about Zero Knowledge…

May 22, 20231.2K1215

🍀 The Hardware Lottery 🎰 by Sarah Hooker, Google Brain [ACM] - The very first computer hardware was extremely focused on solving one particular problem - numerical differentiation or polynomial mo…

Jan 14, 20221.8K10

🏋🏼Google finally released TPU v4, it will be avaliable for customers later this year. 🥴The previous v3 version was unveiled in 2018 and the v4 is claimed to be twice as fast. 🌽TPU v4 combines in…

May 27, 20214.7K25

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