5 measurements spanning 9 days, net -138. 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 915–1,095 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
30 Oct 2026, 14:40
936
-95
27 Oct 2026, 13:28
1,031
+16
24 Oct 2026, 15:01
1,015
-48
21 Oct 2026, 18:21
1,063
-11
21 Oct 2026, 06:22
1,074
first reading
Engagement
14 posts held, back to 28 August 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 page of Telegram’s post history, 20 posts per page.
ERR · 30 days
44.7%
avg views ÷ 936 subscribers
Avg views / post
419
2 posts measured
Reaction rate
0.597%
reactions ÷ views · ER floor
Posts in window
2
of 14 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
Window
Rolling 30 days · latest post in window 17 October 2026
Posts held
14 (28 August 2026 – 17 October 2026)
Views total
837
Reactions total
5
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
21 Oct 2026, 06:22 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
Video runtime
2m 45s
Average length
2m 45s
Measured directly from 1 video 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
52 reactions across 12 posts, in 7 distinct kinds. The most used accounts for 38.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
20
38.5%
👍
18
34.6%
🙏
6
11.5%
🔥
3
5.77%
👏
2
3.85%
🥰
2
3.85%
👎
1
1.92%
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 12 of the 14 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 52 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 14 most recent posts we hold, published 28 August 2026 to 17 October 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.
🚀 قدرت نسل جدید هوش مصنوعی؛ در سه نسخه حرفهای! 🔥
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⚡️ محصولات موجود:
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ا🎯 RTX PRO 6000 Workstation
قدرت بالا برای ورکاستیشنهای حرفهای، طراحی سهبعدی، رندرینگ و توسعه مدلهای AI.
…
⚠️ اطلاعیه افزایش قیمت
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📩 برای استعلام قیمت جدید و موجودی، پیام دهید.
🔸جهت خرید از طریق وب سایت سدید گستران کلیک کنید .
🚀 راهاندازی NVIDIA DGX Spark؛ از جعبه تا اولین اجرای AI
اDGX Spark را راهاندازی کردهاید؟ قبل از اجرای مدلهای هوش مصنوعی، چند تنظیم را انجام دهید.
🔹 ۱. اتصال تجهیزات
برای راهاندازی، مانیتور و کیبورد را قبل از اتصال برق وصل کنید. اگر نمایشگر ندارید، Setup را از طریق شبکه انجام دهید.
🔹 ۲. اتصال اینترنت
اEthernet یا Wi-Fi انتخاب کنید. شبکههای دارای صفحه ورود مثل هتلها برای Setup مناسب نیستند.
🔹 ۳. ساخت حسا…
🔗 کابل کلاستر NVIDIA DGX Spark؛ ارتباط پرسرعت برای کلاستر AI
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🧠 مناسب برای اجرای مدلهای بزرگ هوش مصنوعی، استنتاج و پردازشهای توزیعشده
🔌 اتصال سریع و پایدار بین نودهای DGX Spark
📌 اگر قصد دارید چند دستگاه DGX Spark را به یک کلاستر قدرتمند هوش مصنوعی تبدیل کنید، کابل کلاستر یکی از تجهیزات اصلی برای برقراری ارتباط پرسرعت بین سیستمهاست.
————————————…
ا🚨 OpenAI از GPT-6 Astra رونمایی کرد
شرکت OpenAI مدل جدید خود با نام GPT-6 Astra را معرفی کرد؛ مدلی با قابلیتهای پیشرفته در استفاده از کامپیوتر، برنامهنویسی، انجام وظایف چندمرحلهای و امنیت سایبری.
ا💻 Astra میتواند مستقیماً با کامپیوتر و نرمافزارها کار کند و در نوشتن، اجرای کد و آزمایش نرمافزارها مشارکت داشته باشد.
🔐 در حوزه امنیت سایبری نیز این مدل به سطح «Critical» رسیده و توانایی شناسایی برخی آسیب…
🚀 یک DGX Spark قدرتمنده؛ دو تا چطور؟(ارتقا DGX Spark)
وقتی مدل هوش مصنوعی شما از ظرفیت یک دستگاه بزرگتر میشود، راهحل همیشه خرید یک سیستم بزرگتر نیست.
🔥 دو NVIDIA DGX Spark را به هم متصل کنید و قدرت پردازش را به سطح بالاتری ببرید.
با اتصال مستقیم ConnectX-7 + QSFP 200Gbps:
🧠 حدود ۲۵۶GB حافظه
⚡️ توان پردازشی ۲ GPU
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🔗 پشتیبانی از NCCL، vLLM و TensorRT-LLM
دو دستگا…
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برای درک سادهتر، ۱ پتافلاپ یعنی توانایی انجام حدود ۱ کوادریلیون محاسبه در هر ثانیه؛ البته این عدد در دقت FP4 و با استفاده از Sparsity به دست میآید.
نکته جذاب DGX Spark چیست؟ میتوان آن را یک «مغز کوچک اما بسیار حافظهدار» برای هوش مصنوعی دانست.
قدرت خام آن مستقیماً با RTX 5090 قابل مقایسه نیست، اما ۱۲۸ گیگابایت حافظه یکپارچه امکان اج…
🧠 مدلهای زبانی بزرگ (LLM) چیستند و چگونه در NVIDIA DGX Spark اجرا و استفاده میشوند؟
ا🔹 LLM مخفف Large Language Model یا «مدل زبانی بزرگ» است؛ نوعی مدل هوش مصنوعی که برای درک، تحلیل و تولید زبان طبیعی آموزش دیده است.
مدلهای زبانی بزرگ برای اجرای مدلهای پیچیده، به حافظه زیاد و توان پردازشی بالا نیاز دارند.
ا💻 NVIDIA DGX Spark با بهرهگیری از معماری Blackwell و حافظه یکپارچه ۱۲۸ گیگابایتی، برای توسعه، اجرای محلی و…
آیا میتوان روی DGX Spark ویندوز نصب کرد؟
بهصورت رسمی: خیر.
🔹 معماری ARM (Grace): پردازنده DGX Spark بر پایه ARM است و با معماری x86 رایج در کامپیوترهای ویندوزی متفاوت است.
🔹 عدم پشتیبانی درایورها: NVIDIA درایورهای اختصاصی Grace Blackwell و GPU این دستگاه را برای محیط Linux توسعه داده است؛ بنابراین Windows بهصورت رسمی پشتیبانی نمیشود.
🖥 سیستمعامل DGX Spark چیست؟
ابر کامپیوتر DGX Spark بهصورت پیشفرض با NVIDIA …
🤖 تفاوت NVIDIA DGX SPARK با کامپیوترهای دسکتاپ خانگی چیست؟
🔹 ۱. هدف اصلی:
کامپیوتر دسکتاپ برای بازی، کارهای گرافیکی و روزمره ساخته شده، اما DGX Spark یک «ابرکامپیوتر کوچک» برای پردازش، ساخت و اجرای مدلهای هوش مصنوعی است.
🔹 ۲. حافظه یکپارچه (Unified Memory):
در PC معمولی، رم سیستم و حافظه کارت گرافیک جدا هستند. اما در DGX Spark کل ۱۲۸ گیگابایت حافظه بین پردازنده و گرافیک بهصورت یکپارچه به اشتراک گذاشته میشود تا م…
🚀 خرید NVIDIA DGX Spark؛ قدرت هوش مصنوعی در ابعاد کوچک
ا💻 DGX Spark یک سیستم قدرتمند و تخصصی برای اجرای مدلهای هوش مصنوعی، یادگیری ماشین و پردازشهای سنگین AI است.
⚡️ مناسب برای توسعهدهندگان، شرکتها، پژوهشگران و تیمهای هوش مصنوعی
━━━━━━━━━━━━━━━━━━━━━━━━━
📞 ۰۲۱-۵۴۹۴۲
☎️ داخلی ۲۰۶ | سعید صبحخیز
📢 کانال شرکت:
@sadidgostaran
🌐وب سایت : sadidgostaran.com
━━━━━━━━━━━━━━━━━━━━
پست اول
👍3❤2
Signed Saeed Sobhkhiz
Showing the 12 most recent of 14 posts we hold for @softcellco. 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.
Polls
The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 14 most recent posts we hold, published 28 August 2026 to 17 October 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
Mentions
Named by 1 registered channel — 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 30 October 2026 — this
entry's latest reading, not the date you are reading this.
“🚀 محصولات تخصصی هوش مصنوعی | NVIDIA DGX Spark” (@softcellco), 936 subscribers as measured 30 October 2026. Telegram Register, tgregister.com/channel/softcellco.
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.