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Aethir Ecosystem

@AethirEco · Aethir · joined 26 Apr 2024

The official Ecosystem account of @AethirCloud - Powerful Partnerships, Endless Potential | @AethirCloud - All things #Aethir

256 572Followers
42Following
4 486Posts total
16.2KViews on collected posts

Postingan terbaru

GPUs stopped being the bottleneck. Power is. Interconnection queues, transformer lead times, substation builds and transmission access now set the pace of AI capacity. One major neocloud holds 4.2GW contracted against 1.5GW actually live. Meanwhile, IEEE Spectrum notes the US h
2.6K views · 86 likes · 10 reposts · 6 replies Open on X →
For fifteen years the promise of cloud computing was that location stopped mattering. In 2026, it matters again, for four reasons at once. - Power is available in some places and not others. - Heat has to go somewhere useful. - Data carries rules about where it may legally sit.
3.1K views · 90 likes · 14 reposts · 5 replies Open on X →
@AethirEco Your figures are untrustworthy. Of 420,000, how many are turned off because the electricity isn't worth the pennies you reward your node runners? Half? 3/4? It's all smoke, you liars. 10 views · 0 likes · 0 reposts · 0 replies Open on X →
The real cost of GPU compute isn't the sticker price. It's utilization. A centralized cloud has to build capacity ahead of demand, finance it, and price the idle hours into your bill. You are paying for the gap between what they provisioned and what you consumed. Aethir’s http
2.6K views · 98 likes · 11 reposts · 7 replies Open on X →
@AethirEco And still nothing for @AethirEdge devices…. 10 views · 0 likes · 0 reposts · 0 replies Open on X →
@AethirEco @AethirCloud Dumping again matafaka. 29 views · 0 likes · 0 reposts · 0 replies Open on X →
Hyperscalers concentrate compute into a few dozen mega-regions. Aethir runs 430,000 GPU containers across 200+ locations in 94 countries. For inference, that geography is the product: Tokens generated near the user, data processed in the region it originated, and no single http
3.9K views · 96 likes · 13 reposts · 4 replies Open on X →
@AethirEco The choice is simple 💚 169 views · 7 likes · 0 reposts · 0 replies Open on X →
Aethir delivers equivalent specs at 40% to 80% below hyperscaler pricing, with H100 access around 86% below comparable Google Cloud configurations. Same GPUs, a different overhead structure underneath them. 344 views · 16 likes · 4 reposts · 3 replies Open on X →
When compute is your largest variable cost, the gap between those two numbers is your business model. 253 views · 11 likes · 3 reposts · 1 replies Open on X →
AWS raised GPU prices twice in 2026: 15% in January, another 20% in July. That is more than 33% year-to-date on the same silicon. H100 capacity on P5 instances now runs $5.191 an hour, and B300 sits at $14.04 per accelerator-hour🧵 https://t.co/3Rvi4pPD0i
3.2K views · 82 likes · 12 reposts · 8 replies Open on X →

Dibandingkan akun berukuran sama

11 postingan dari 90 hari terakhir, dibandingkan dengan rentang 100K–1M pengikut. menjangkau lebih sedikit orang, tetapi melibatkan mereka jauh lebih kuat.

Median tayangan344akun ini4 786median untuk 100K–1M
Jangkauan, %0.13%akun ini1.76%median untuk 100K–1M
Interaksi, %3.60%akun ini1.30%median untuk 100K–1M
MetrikAkun iniMedian untuk 100K–1MRasio
Median tayangan per postingan3444 7860.07×
Jangkauan (tayangan ÷ pengikut)0.13%1.76%0.08×
Tingkat interaksi3.60%1.30%2.76×

Akun lain pada rentang ini →   Bandingkan dengan akun lain →   Bagaimana tolok ukur ini disusun →

Growth & engagement

How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.

Views per post

3.2K1 Sep
253
344
1692 Sep
3.9K
29
10
2.6K3 Sep
10
3.1K4 Sep
2.6K7 Sep

Last 11 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

3.17%1 Sep
5.93%
6.69%
4.14%2 Sep
2.89%
0.00%
0.00%
4.40%3 Sep
0.00%
3.61%4 Sep
3.99%7 Sep

Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 1.30%.

What the audience does

Likes81.7%486 in total
Reposts11.3%67 in total
Replies5.7%34 in total
Quotes0.5%3 in total
Bookmarks0.8%5 in total

Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.

The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.

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