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

Latest posts

Aethir Ecosystem ✓@AethirEco7 Sep

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 →

Aethir Ecosystem ✓@AethirEco4 Sep

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 →

Aethir Ecosystem ✓@AethirEco3 Sep

@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 →

Aethir Ecosystem ✓@AethirEco3 Sep

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 →

Aethir Ecosystem ✓@AethirEco2 Sep

@AethirEco And still nothing for @AethirEdge devices…. 10 views · 0 likes · 0 reposts · 0 replies Open on X →

Aethir Ecosystem ✓@AethirEco2 Sep

@AethirEco @AethirCloud Dumping again matafaka. 29 views · 0 likes · 0 reposts · 0 replies Open on X →

Aethir Ecosystem ✓@AethirEco2 Sep

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 →

Aethir Ecosystem ✓@AethirEco2 Sep

@AethirEco The choice is simple 💚 169 views · 7 likes · 0 reposts · 0 replies Open on X →

Aethir Ecosystem ✓@AethirEco1 Sep

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 →

Aethir Ecosystem ✓@AethirEco1 Sep

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 →

Aethir Ecosystem ✓@AethirEco1 Sep

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 →

Against accounts of the same size

11 posts from the last 90 days, next to the 100K–1M follower range. reaches fewer people than peers, but engages them much harder.

Median views344this account5 983median for 100K–1M

Reach, %0.13%this account1.49%median for 100K–1M

Engagement, %3.60%this account0.93%median for 100K–1M

Metric	This account	Median for 100K–1M	Ratio
Median views per post	344	5 983	0.06×
Reach (views ÷ followers)	0.13%	1.49%	0.09×
Engagement rate	3.60%	0.93%	3.88×

Others in this range → Compare with another account → How these benchmarks are built →

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

2.6K3 Sep

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%

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 0.93%.

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.

Latest posts

Against accounts of the same size

Growth & engagement

Views per post

Engagement rate per post

What the audience does

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