umesh badade

I am a cryptopreneour and Technopreneour.Wide experience in Financial instrument Trading strategy Developer.

[umesh badade @umesh2022]

@OnigiriCat_ERC No post , no update and no spaces . !!!! Whats going on In onigiri cat ? Can anyone tell me please

[umesh badade @umesh2022]

@OnigiriCat_ERC Whats going on at oni ?

[umesh badade @umesh2022]

@OnigiriCat_ERC What's new is coming to onigiri??
When price will head to all time high and above ???

[umesh badade @umesh2022]

@moneymotive888 Trade

[umesh badade @umesh2022]

@moneymotive888 Wow

[umesh badade @umesh2022]

@moneymotive888 How ?

[umesh badade @umesh2022]

@OnigiriCat_ERC Great project....this is the time to buy and holdddddddddddddddd

[umesh badade @umesh2022]

@OnigiriCat_ERC Please provide me working link of recording

[umesh badade @umesh2022]

@OnigiriCat_ERC This recording link is not working

[umesh badade @umesh2022]

@OnigiriCat_ERC Yes I have patience

[umesh badade @umesh2022]

@OnigiriCat_ERC Let's shoot up to 0.01$

[umesh badade @umesh2022]

@1000xgirl Yes

[umesh badade @umesh2022]

@OnigiriCat_ERC @kabosumama Super great

[umesh badade @umesh2022]

https://t.co/x2X1Ha1RMi

[io.net @ionet]

AI innovation is advancing rapidly, leading to an increased demand for computing power while simultaneously reducing GPU availability.

This daily intensifying challenge motivated the establishment of @ionet_official.

@ionet_official tackles the global shortage of GPU compute by aggregating supply from underutilized sources, including independent data centers, crypto mining farms, and consumer GPUs, boosting utilization rates to nearly 100%.

This facilitates the creation of decentralized GPU clusters across multiple locations, with @ionet_official being the sole GPU aggregator capable of doing this.

Leveraging these strategies allows for the provision of unmatched cost efficiency for low-latency, on-demand GPU compute, priced 90% lower than the competition.

[io.net @ionet]

AI innovation is advancing rapidly, leading to an increased demand for computing power while simultaneously reducing GPU availability.

This daily intensifying challenge motivated the establishment of @ionet_official.

@ionet_official tackles the global shortage of GPU compute by aggregating supply from underutilized sources, including independent data centers, crypto mining farms, and consumer GPUs, boosting utilization rates to nearly 100%.

This facilitates the creation of decentralized GPU clusters across multiple locations, with @ionet_official being the sole GPU aggregator capable of doing this.

Leveraging these strategies allows for the provision of unmatched cost efficiency for low-latency, on-demand GPU compute, priced 90% lower than the competition.

[umesh badade @umesh2022]

https://t.co/czWj16WU4H

[io.net @ionet]

In just 10 days since https://t.co/ZuybGWvRkH's Ignition program launched, the number of workers has grown from 26,000 to over 51,000 GPUs!

Listen to @angelaywyi give alpha about how consumer @Apple M1 / M2 / M3 chips are supported by https://t.co/ZuybGWvRkH (and are eligible to receive boosted rewards in the Ignition program).

[io.net @ionet]

In just 10 days since https://t.co/ZuybGWvRkH's Ignition program launched, the number of workers has grown from 26,000 to over 51,000 GPUs!

Listen to @angelaywyi give alpha about how consumer @Apple M1 / M2 / M3 chips are supported by https://t.co/ZuybGWvRkH (and are eligible to receive boosted rewards in the Ignition program).

[umesh badade @umesh2022]

https://t.co/Mh1uLLwiW9

[io.net @ionet]

Over $400K in Worker earnings (just $100K in the last 21 days) in just four short months since launch.

40,000+ Workers in the network and over 3,800 GPU clusters deployed.

AI/ML companies can create clusters of up to tens of thousands of GPUs for both model training AND inferencing.

[io.net @ionet]

Over $400K in Worker earnings (just $100K in the last 21 days) in just four short months since launch.

40,000+ Workers in the network and over 3,800 GPU clusters deployed.

AI/ML companies can create clusters of up to tens of thousands of GPUs for both model training AND inferencing.

[umesh badade @umesh2022]

https://t.co/fAREHr2n51

[io.net @ionet]

What makes @ionet_official different from other GPU aggregators on the market?

@ionet_official's ability to form decentralized clusters by aggregating GPUs across multiple locations.

Without clustering, it would be virtually impossible to train today's machine learning models, which are highly complex.

This creates the opportunity for a 'structural arbitrage', allowing @ionet_official to offer unmatched cost efficiency and low latency GPU compute up to 90% cheaper than the competition.