Levimar

grandir jour après jour

[Ross Prager @ross_prager]

Here's #ICU 5 myths that need to be busted... 🛑

TLDR: not everything taught in medical school or recommended by guidelines is correct🌶️ 🔥

A 🧵

#meded #foamed #medtwitter

[Ross Prager @ross_prager]

(1/x) How to decide when your patient is ready to be extubated in the ICU?

Here is my structured approach 👇

(note: its not just when they pass a spontaneous breathing trial 🫁)

A 🧵

#foamed #medtwitter #ventilation #foamcc

[Dan @danmurrays]

The Power of Habits:

[Levimar @CyrMarl]

https://t.co/EDN0r17979

[io.net @ionet]

https://t.co/ZuybGWvjv9 harnesses the power of hundreds of millions of consumer Apple Silicon chips to power AI/ML workloads.

Engineers can cluster Apple M1/M2/M3 chips for ML and AI compute from anywhere around the world on https://t.co/ZuybGWvjv9, and users with Apple hardware can earn by contributing spare computing resources for AI and ML use cases.

Consumer Apple chips are also eligible to receive boosted rewards in the https://t.co/ZuybGWvjv9 Ignition Program.

Discover the full article by @Cointelegraph on https://t.co/ZuybGWvjv9's expansion to support Apple hardware here: https://t.co/acUHIlhcol

[io.net @ionet]

https://t.co/ZuybGWvjv9 harnesses the power of hundreds of millions of consumer Apple Silicon chips to power AI/ML workloads.

Engineers can cluster Apple M1/M2/M3 chips for ML and AI compute from anywhere around the world on https://t.co/ZuybGWvjv9, and users with Apple hardware can earn by contributing spare computing resources for AI and ML use cases.

Consumer Apple chips are also eligible to receive boosted rewards in the https://t.co/ZuybGWvjv9 Ignition Program.

Discover the full article by @Cointelegraph on https://t.co/ZuybGWvjv9's expansion to support Apple hardware here: https://t.co/acUHIlhcol

[Levimar @CyrMarl]

https://t.co/Ob5wqvrrOV

[io.net @ionet]

🎙️ Join our space with @BanyanComputer for a discussion on partnership, crypto, AI, and more.

🗓️ March 6th, 1 PM EST

Set your reminders below - we hope to see you there! https://t.co/1fr9Td2DWL

[io.net @ionet]

🎙️ Join our space with @BanyanComputer for a discussion on partnership, crypto, AI, and more.

🗓️ March 6th, 1 PM EST

Set your reminders below - we hope to see you there! https://t.co/1fr9Td2DWL

[Levimar @CyrMarl]

https://t.co/6QdzNKbGPa

Huge

[io.net @ionet]

BREAKING: https://t.co/ZuybGWvRkH has raised $30M to build the largest decentralized GPU network in the world and solve the AI compute shortage.

The Series A round was led by Hack VC with participation from Multicoin Capital, 6th Man Ventures, M13, Delphi Digital, Solana Labs, Aptos Labs, Foresight, Amber, Longhash, SevenX, ArkStream, Animoca Brands, Continue Capital, MH Ventures, Sandbox Games.

Prominent industry leaders also joined the funding round, including Solana founder Anatoly Yakovenk, Aptos founders Mo Shaikh and Avery Ching, Yat Siu of Animoca Brands, Sebastien Borget of The Sandbox, and Jin Kang of Perlone Capital.

https://t.co/uFcYdqYmHL

[io.net @ionet]

BREAKING: https://t.co/ZuybGWvRkH has raised $30M to build the largest decentralized GPU network in the world and solve the AI compute shortage.

The Series A round was led by Hack VC with participation from Multicoin Capital, 6th Man Ventures, M13, Delphi Digital, Solana Labs, Aptos Labs, Foresight, Amber, Longhash, SevenX, ArkStream, Animoca Brands, Continue Capital, MH Ventures, Sandbox Games.

Prominent industry leaders also joined the funding round, including Solana founder Anatoly Yakovenk, Aptos founders Mo Shaikh and Avery Ching, Yat Siu of Animoca Brands, Sebastien Borget of The Sandbox, and Jin Kang of Perlone Capital.

https://t.co/uFcYdqYmHL

[Levimar @CyrMarl]

https://t.co/Xbh9XLjf00
Nice

[The Block @TheBlockCo]

Solana-based DePIN https://t.co/PiSh8CXVeI hits $1 billion token valuation in latest funding round https://t.co/9G8pmCFxUs

[Levimar @CyrMarl]

https://t.co/Xbh9XLjf00

[The Block @TheBlockCo]

Solana-based DePIN https://t.co/PiSh8CXVeI hits $1 billion token valuation in latest funding round https://t.co/9G8pmCFxUs

[The Block @TheBlockCo]

Solana-based DePIN https://t.co/PiSh8CXVeI hits $1 billion token valuation in latest funding round https://t.co/9G8pmCFxUs

[Levimar @CyrMarl]

https://t.co/5T45Wc6BBk

[io.net @ionet]

The https://t.co/WLXlHkvE4z community came in force to countdown the Series A announcement.

Join us in Discord every Wednesday at 3:30PM UTC.

[io.net @ionet]

The https://t.co/WLXlHkvE4z community came in force to countdown the Series A announcement.

Join us in Discord every Wednesday at 3:30PM UTC.

[Levimar @CyrMarl]

https://t.co/BUzircQ02A

[io.net @ionet]

🤝 @laurashin @Unchained_pod

[io.net @ionet]

🤝 @laurashin @Unchained_pod

[Levimar @CyrMarl]

https://t.co/LF4CMjEIOx

[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.

[Levimar @CyrMarl]

https://t.co/ayQcfyf6G0

[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.

[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.