harrypog

Art seeker.
Looking to hodl the finest art
#DualSouls by @jyxdi
#RagnarokMeta by @0xfanfaron
#AviusAnimae by @johnjannuzzi
#whiskers by @whiskerico

[harrypog @harrypog2]

@StockMarketNerd ISRG

[harrypog @harrypog2]

@Vatsal_Sanghvi Is this bare minimum for you? 😅

[harrypog @harrypog2]

@Its_Badshah Badshah boy, your songs are similar to you, low iq

[harrypog @harrypog2]

Refreshed with new tickets. Limited tickets to join. @grvt_io
#grvt #grvtio #zksync
https://t.co/sb8DukI2El

[io.net @ionet]

Thanks for the coverage @The_NewsCrypto!

@ionet_official raises $30M in funding to build the largest decentralized GPU network ever, solving the shortage of AI compute.

The Series A round was led by @hack_vc, who were joined by @multicoin, @solanalabs, and more.

Industry leaders such as Anatoly Yakovenk, founder of @solana, and founders of @Aptos, Mo Shaikh and Avery Ching, also participated in the funding round.

Deep-dive into the full article by @The_NewsCrypto here: https://t.co/NhRaJdeyX8

[harrypog @harrypog2]

https://t.co/5EMVMIU4Ek

[io.net @ionet]

Thanks for the coverage @The_NewsCrypto!

@ionet_official raises $30M in funding to build the largest decentralized GPU network ever, solving the shortage of AI compute.

The Series A round was led by @hack_vc, who were joined by @multicoin, @solanalabs, and more.

Industry leaders such as Anatoly Yakovenk, founder of @solana, and founders of @Aptos, Mo Shaikh and Avery Ching, also participated in the funding round.

Deep-dive into the full article by @The_NewsCrypto here: https://t.co/NhRaJdeyX8

[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

[harrypog @harrypog2]

https://t.co/PaU2Nf4RVv

[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]

Building the world's largest AI compute DePIN means https://t.co/ZuybGWvRkH has tens of thousands of independent node operators around the world.

Providing alternatives to centralized cloud providers is more than bringing transactions for compute on-chain, it is tapping into the distributed compute that already exists in the world and making it available to innovators and builders advancing AI and ML.

video from our community member @leeland_sol

[harrypog @harrypog2]

https://t.co/kdpW9e0aJT

[io.net @ionet]

Building the world's largest AI compute DePIN means https://t.co/ZuybGWvRkH has tens of thousands of independent node operators around the world.

Providing alternatives to centralized cloud providers is more than bringing transactions for compute on-chain, it is tapping into the distributed compute that already exists in the world and making it available to innovators and builders advancing AI and ML.

video from our community member @leeland_sol

[io.net @ionet]

Demand for GPU compute continues to rise, making it much more expensive to access GPUs.

This is because GPUs are used to power the compute capabilities of AI and ML, and as AI continues to innovate, GPUs become increasingly unavailable and hence more expensive.

@ionet_official Cloud is addressing this growing concern by aggregating GPUs that are geographically distributed across multiple locations into a DePIN.

This allows @ionet_official to offer low-latency compute capacity at the scale required by AI and ML companies while staying cost-efficient.

[harrypog @harrypog2]

https://t.co/NdtFkw87te

[io.net @ionet]

Demand for GPU compute continues to rise, making it much more expensive to access GPUs.

This is because GPUs are used to power the compute capabilities of AI and ML, and as AI continues to innovate, GPUs become increasingly unavailable and hence more expensive.

@ionet_official Cloud is addressing this growing concern by aggregating GPUs that are geographically distributed across multiple locations into a DePIN.

This allows @ionet_official to offer low-latency compute capacity at the scale required by AI and ML companies while staying cost-efficient.

[io.net @ionet]

Community Notes: There are actually 72,495 GPU nodes on https://t.co/WLXlHkvE4z

[harrypog @harrypog2]

https://t.co/FXBqdanvAq

[io.net @ionet]

Community Notes: There are actually 72,495 GPU nodes on https://t.co/WLXlHkvE4z

[io.net @ionet]

Gain access to hundreds of thousands of GPUs in seconds with @ionet_official.

Seamlessly access an array of 44K+ GPUs on the @ionet_official network and deploy instantaneously –– with customization features for level of security and connection speed –– at lower prices that are 90% cheaper than traditional cloud providers.

Users can select from best-in-class GPUs, such as A100s and H100s, and utilize low-latency compute with a click of a button.

@ionet_official offers unmatched cost-efficiency for on-demand GPU compute. Discover how the world's largest AI compute cloud is being built at https://t.co/ZuybGWvjv9.

[harrypog @harrypog2]

https://t.co/PHE3YI9oqk

[io.net @ionet]

Gain access to hundreds of thousands of GPUs in seconds with @ionet_official.

Seamlessly access an array of 44K+ GPUs on the @ionet_official network and deploy instantaneously –– with customization features for level of security and connection speed –– at lower prices that are 90% cheaper than traditional cloud providers.

Users can select from best-in-class GPUs, such as A100s and H100s, and utilize low-latency compute with a click of a button.

@ionet_official offers unmatched cost-efficiency for on-demand GPU compute. Discover how the world's largest AI compute cloud is being built at https://t.co/ZuybGWvjv9.

[io.net @ionet]

Interested in joining the 60,000 GPU workers on https://t.co/WLXlHkvE4z and building the largest AI compute DePIN in the world?

Check out the installation guide from our Turkish community ambassador @okansariirmak

Bring AI to the world.

[harrypog @harrypog2]

https://t.co/EKPzfOt7Ux

[io.net @ionet]

Interested in joining the 60,000 GPU workers on https://t.co/WLXlHkvE4z and building the largest AI compute DePIN in the world?

Check out the installation guide from our Turkish community ambassador @okansariirmak

Bring AI to the world.

[io.net @ionet]

As AI innovation continues, demand for GPU compute to power AI and ML workloads doubles every 3 months, however some sources of the supply of GPU compute remains underutilized.

By aggregating underutilized sources of supply from independent data centers, crypto mining farms, and consumer GPUs, @ionet_official's abilities to create decentralized clusters accross multiple locations facilitates the creation of a 'structural arbitrage'.

This allows @ionet_official to increase utilization rates to nearly 100%, whilst offering prices up to 90% cheaper than competitors –– the recent expansion of supply in the network featuring 72 A4000 GPUs only accelerates these capabilities.

@ionet_official is building the internet of GPUs.

[harrypog @harrypog2]

https://t.co/vkdQPUrYFP

[io.net @ionet]

As AI innovation continues, demand for GPU compute to power AI and ML workloads doubles every 3 months, however some sources of the supply of GPU compute remains underutilized.

By aggregating underutilized sources of supply from independent data centers, crypto mining farms, and consumer GPUs, @ionet_official's abilities to create decentralized clusters accross multiple locations facilitates the creation of a 'structural arbitrage'.

This allows @ionet_official to increase utilization rates to nearly 100%, whilst offering prices up to 90% cheaper than competitors –– the recent expansion of supply in the network featuring 72 A4000 GPUs only accelerates these capabilities.

@ionet_official is building the internet of GPUs.