Pichi Finance

This is the old account used for @PichiFinance.

The only official account

[Pichi Finance @michiprotocol]

@KAST_official IYKYK

[Pichi Finance @michiprotocol]

@solayer_labs inv codes for the new ones:
6CZEU7
EBT77C
V4KS7S
VWH5HB
GSBFDQ

[Pichi Finance @michiprotocol]

@CryptoNagato $PURR on @HyperliquidX

[Pichi Finance @michiprotocol]

Thank you @Tabichain for gifting me the mysterious treasure!

Join me in the Voyager II event to explore Pirate Island, rack up points, and return with lavish loot. Let's set sail to fortune and beyond! 🏴‍☠️💎

Head to https://t.co/e4scnvRFGF to claim yours!

[Pichi Finance @michiprotocol]

@RainmakerWallet 😊

[Pichi Finance @michiprotocol]

@JJcycles That's the reason why HL introduced spot trading as they foresee volumes dropping post-airdrop.

Imagine being an on-chain DEX that allows you to trade spot on tokens not avai on Arbitrum - believe lots of marketing would be focused on this.

[Pichi Finance @michiprotocol]

@RainmakerWallet Excited

[Pichi Finance @michiprotocol]

@XForceGlobal Was following your charts + analysis, faded = didn't listen.

[Pichi Finance @michiprotocol]

@thetaseek When a brown work gloves +21 wa can be sold for 100 eth, then it'd be hyped up.

[Pichi Finance @michiprotocol]

Yo @jumperapp I love you guys 🫰

[Pichi Finance @michiprotocol]

https://t.co/0k10aTq4sS

[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.

[Pichi Finance @michiprotocol]

https://t.co/56fhBkSP1F

[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

[Pichi Finance @michiprotocol]

https://t.co/3o7jCtPzzu

[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

[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.

[Pichi Finance @michiprotocol]

https://t.co/e7LIO2NGj8

[io.net @ionet]

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

[io.net @ionet]

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

[Pichi Finance @michiprotocol]

https://t.co/VSbrkZ3vjW

[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.