Telegram RegisterThe public register of Telegram

Channel

ITGLOBAL.COM

@itg_techlab

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

370subscribers

+0 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1001729976726
TypeChannel
Username@itg_techlab
DescriptionITGLOBAL.COM — международный облачный провайдер и системный интегратор, подразделение корпорации ITG. Чат-бот о компании и услугах — @itg_techlab_bot
CreatedBetween 1 December 2021 and 30 April 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live8 August 2026
Measurements held2
On Telegramt.me/itg_techlab

Growth

3707 Aug 2026, 16:50 — 370 subscribers8 Aug 2026, 06:20 — 370 subscribers7 Aug 2026, 16:508 Aug 2026, 06:20
2 measurements taken within a single day. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 369–371 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
8 Aug 2026, 06:20370no change
7 Aug 2026, 16:50370first reading

Engagement

15 posts held, back to 2 June 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
44.0%
avg views ÷ 370 subscribers
Avg views / post
163
9 posts measured
Reaction rate
3.82%
reactions ÷ views · ER floor
Posts in window
9
of 15 held

ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.

ER is defined industry-wide as (forwards + reactions + comments) ÷ views— note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate.

What these figures were computed from
WindowRolling 30 days · latest post in window 7 August 2026
Posts held15 (2 June 20267 August 2026)
Views total1,466
Reactions total56
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 06:20 UTC

Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.

Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.

Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.

What this channel posts

Photos
835
Videos
29
Links
565

Lifetime counters from Telegram’s own channel header, read 8 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.

Video runtime
14s
Average length
7s

Measured directly from 2 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no mark.

Reaction mix

90 reactions across 15 posts, in 9 distinct kinds. The most used accounts for 52.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥4752.2%
2325.6%
🏆88.89%
😁33.33%
😍33.33%
😱22.22%
🥰22.22%
🎉11.11%
👍11.11%

No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.

Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.

Coverage. Reactions were read on 15 of the 15 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 90reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 15 most recent posts we hold, published 2 June 2026 to 7 August 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.

Recent posts

7 Aug 2026, 14:11 UTC83 views7 reactionsread 8 August 2026
Photo

☁️Визуальный контент через API: новые возможности AIaaS 🎨В AIaaS появилась генерация и редактирование изображений. Функции доступны через единый API: ключ и биллинг остаются прежними, дополнительные интеграции не нужны. 🌐Модели под разные задачи и бюджеты: Nano Banana 2 и Nano Banana Lite — для универсальных задач. GPT Image 2 — когда важны максимальное качество и детализация. FLUX 2 Klein и Pro — для генерации и р

🔥4😱21

5 Aug 2026, 13:11 UTC101 views3 reactionsread 8 August 2026
Photo

☁️Qwen 3.8 Max: готов ли ваш API-шлюз к новым задачам ИИ? 📌 Alibaba представила Qwen 3.8 Max — новую флагманскую модель на архитектуре MoE (Mixture of Experts) с 2,4 трлн параметров. В каталоге AIaaS ITGLOBAL.COM сейчас есть множество моделей от Alibaba, включая флагманы Qwen 3.7 Max и 3.8 Max. Но главная новость — не в том, «кто лидирует в бенчмарках», а в том, готов ли ваш API‑шлюз управлять рисками и затратами п

🔥3

4 Aug 2026, 09:27 UTC135 views3 reactionsread 8 August 2026
Photo

☁️Запуск LLM в закрытом контуре: оборудование под задачи Открытые LLM достигли уровня коммерческих аналогов. Kimi K3, DeepSeek V4 Pro и GLM 5.2 конкурируют с GPT-5 и Claude — и работают на вашем оборудовании, без отправки данных во внешние API. Одного сервера (8 GPU) уже достаточно для: ✔️ DeepSeek V4 Flash — 284B параметров, но только 13B активных ✔️ DeepSeek V4 Pro — 1.6T параметров, но только 49B активных ✔️ GL

🔥3

31 Jul 2026, 12:04 UTC169 views7 reactionsread 8 August 2026
Photo

☁️Один шлюз, двойной апдейт: ITGLOBAL.COM закрывает июль мощным расширением пула LLM ITGLOBAL.COM продолжает масштабировать портфель моделей. В июле к платформе подключены Claude Opus 5, линейка YandexGPT 5 и GigaChat 2 — три семейства для ключевых корпоративных сценариев: от массовых ботов и обработки документов до сложной аналитики и агентных задач. 📌 Claude Opus 5 Новый флагман Anthropic для длинных многошаговых

🔥4🥰21

30 Jul 2026, 09:14 UTC164 views11 reactionsread 8 August 2026
Photo

😎Классический подход к ИИ или готовый ПАК: что выбрать? Разбираем в карточках, в чем ключевая разница и для каких этапов проекта подходит каждый из вариантов. 🔵Классическая разработка: идеально для пилота Как это работает: вы арендуете GPU, собираете демо-версию и проверяете гипотезу. Когда подходит: на самом старте, пока решением тестируют два-три пользователя. В чем сложность: при масштабировании в продакшн появл

🔥5🏆3😍3

29 Jul 2026, 10:00 UTC147 views6 reactionsread 8 August 2026
Photo

😎Сотрудник загрузил договор в публичный чат-бот. Что дальше? По данным исследований на июль 2026 года, уже 20% организаций, столкнувшихся с утечками, связывают инциденты с бесконтрольным применением ИИ — годом ранее таких было около 12%. Аналитики изучили трафик 150 российских компаний: за 2025 год объём данных в публичных нейросетях вырос в 30 раз. При этом около 60% организаций до сих пор не имеют формализованных

🔥6

22 Jul 2026, 12:32 UTC200 views4 reactionsread 8 August 2026
Photo

😎Универсальной LLM больше нет Кажется логичным: ещё пара поколений — и появится одна модель, которая закроет всё. Кодинг, аналитику, чат-ботов, безопасность. ❗️Но главный драйвер рынка сегодня — не погоня за «самым умным», а экономика инференса и производственные метрики. Содержать одну сверхтяжёлую модель под все задачи — дорого и медленно. Гораздо эффективнее собрать набор специализированных: быстрые и дешёвые дл

2👍1🔥1

22 Jul 2026, 09:50 UTC183 views2 reactionsread 8 August 2026
Photo

😎ITGLOBAL.COM запустила программу адаптации инфраструктуры — миграция в облако ITGLOBAL.COM с фиксированной ценой на год Рост тарифов, дефицит оборудования и нехватка инженеров — три причины, по которым миграция в облако откладывается или обходится дороже плана. Чтобы снять эти барьеры, мы запустили программу с тремя составляющими: 🔵 Финансовые условия ✔️ Первые 12 месяцев — скидка 65% от стандартного тарифа на всю

2

17 Jul 2026, 15:42 UTC284 views13 reactionsread 8 August 2026
Photo

😎Больше LLM — меньше интеграций: июльское обновление AIaaS ITGLOBAL.COM Рынок языковых моделей обновляется быстрее, чем компании успевают согласовать очередного поставщика и подключить его API. На июль 2026 года в портфеле ITGLOBAL.COM уже доступны актуальные флагманские модели для агентов, программирования, аналитики и мультимодальных задач. Цикл обновления — меньше месяца. Корпоративные ИИ-задачи эффективно делят

🔥76

10 Jul 2026, 12:49 UTC272 views3 reactionsread 8 August 2026
Photo

☁️ITGLOBAL.COM в тройке лидеров рейтинга провайдеров облачных серверов с видеокартами для ИИ. Компания набрала 789 баллов.🏆 Рейтинг оценивал провайдеров по четырем группам критериев: технологичность, сервисы для ИИ, безопасность, а также цена и поддержка. ITGLOBAL.COM особенно высоко оценили по нескольким параметрам: ✈️ Безопасность — 145 баллов: соответствие 152-ФЗ, ГОСТ 57580, PCI DSS 4.0, ISO/IEC 27001, лицензии

3

2 Jul 2026, 08:12 UTC322 views10 reactionsread 8 August 2026
Photo

😎ITGLOBAL.COM и ITG Distribution приняли участие в дискуссионной веранде «Территория стратегического развития» на ВДНХ Мероприятие объединило лидеров российского бизнеса, ИТ-экспертов и представителей профильных министерств для обсуждения технологий как драйвера нового инвестиционного цикла. На мероприятии с экспертным докладом выступила Алена Литина, руководитель направления робототехники ITG Distribution. Алена

🔥54😁1

11 Jun 2026, 11:25 UTC371 views6 reactionsread 8 August 2026
Photo

☁️По сравнению с 2025 годом мы в 5 раз увеличили мощности GPU-кластера на базе NVIDIA RTX PRO 6000 Blackwell Server Edition и в 3,5 раза — кластера на базе NVIDIA H200. Расширение инфраструктуры стало ответом на рост спроса на GPU-ресурсы со стороны корпоративных заказчиков. ✈️RTX PRO 6000 Blackwell Server Edition востребован благодаря универсальности: ускоритель подходит для обучения моделей, инференса, 3D-рендери

🏆5😁1

Showing the 12 most recent of 15 posts we hold for @itg_techlab. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.

Citation-graph rank

Citation-graph rank — 357,765 of 1,345,403entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

Forward network

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

Republishes

Channels on the register whose posts this channel has forwarded.

Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.

Mentions

Named by 2 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.

Named by

Channels on the register whose posts name this channel's handle.

A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.

Cite this entry

A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 8 August 2026 — this entry's latest reading, not the date you are reading this.

“ITGLOBAL.COM” (@itg_techlab), 370 subscribers as measured 8 August 2026. Telegram Register, tgregister.com/channel/itg_techlab.

Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.