![MarcoSalzmann80's tweet photo. 🧵 Apple. Google. Nvidia. Intel. Hedera.
The next generation of AI is no longer being built by a single company.
It is emerging as a layered technology stack, where each participant provides a critical piece of the infrastructure.
Reports suggest Apple’s upgraded Siri will rely on Google’s Gemini models running through Google Cloud on Nvidia Blackwell infrastructure.
If accurate, this represents a significant shift.
Even companies with highly integrated ecosystems may increasingly rely on specialized partners to deliver next-generation AI experiences.
Apple’s iPhone is no longer just a smartphone.
It is a computing platform used by hundreds of millions of people worldwide.
If Siri evolves into a true AI assistant, Apple is not simply improving a feature.
It is creating an AI access layer for one of the largest consumer ecosystems on the planet.
The architecture behind that experience is becoming increasingly specialized.
Apple provides the user interface.
Google provides the cloud infrastructure and AI models.
Nvidia provides the computational power.
Intel provides trusted execution environments.
Each layer solves a different problem.
Google’s role extends beyond AI models.
It provides the cloud infrastructure capable of processing AI workloads at global scale.
Google is also a founding member of the Hedera Governing Council, highlighting a long-standing interest in trusted digital infrastructure.
Nvidia’s Blackwell architecture is rapidly becoming foundational infrastructure for advanced AI systems.
But Blackwell is not only about performance.
It also introduces Confidential Computing capabilities designed to protect sensitive workloads during execution.
This is where @EQTYLab enters the picture.
EQTY Lab uses secure hardware environments from Nvidia and Intel to generate cryptographic attestations for AI workloads.
Verifiable Compute roots trust directly in silicon and extends that trust through cryptographic verification.
As AI expands into finance, healthcare, government, defense and enterprise environments, verification becomes increasingly important.
Organizations will need to know not only what an AI system produced, but how it arrived there.
Verifiable Compute addresses that challenge through cryptographic attestations.
Trust has to happen in real time.
Inside the compute process itself.
These attestations can show what happened, where it happened and under which rules it happened.
EQTY Lab’s Verifiable Compute is built with Nvidia and Intel hardware and generates cryptographic attestations for AI workloads.
Those attestations are then anchored on Hedera through the Hedera Consensus Service.
That is the trust layer.
The convergence of AI, cloud infrastructure, secure hardware and cryptographic verification points toward a larger trend.
The future of AI may not be defined solely by the quality of models.
It may also be defined by the ability to verify, govern and trust the systems behind them.
The long-term winners of the AI era may not be limited to model developers.
They may also include the platforms responsible for verification, governance, compliance and auditability.
Everyone is watching the AI.
Few are watching the trust layer underneath.
[ APPLE ]
└─> AI Interface & User Experience
│
▼
[ GOOGLE ]
└─> Gemini Models & Cloud Infrastructure
│
▼
[ NVIDIA & INTEL ]
└─> Secure AI Compute & Trusted Execution
│
▼
[ EQTY LAB ]
└─> Verifiable Compute & Cryptographic Attestations
│
▼
[ HEDERA ]
└─> Immutable Trust & Verification Layer
$HBAR
👉🏻 https://t.co/SRE4pqFYvp…
👉🏻 https://t.co/fjnHRHxNDI](https://pbs.twimg.com/media/HJ-TTJiWAAAgEyR.jpg)
![MarcoSalzmann80's tweet photo. 🧵 Apple. Google. Nvidia. Intel. Hedera.
The next generation of AI is no longer being built by a single company.
It is emerging as a layered technology stack, where each participant provides a critical piece of the infrastructure.
Reports suggest Apple’s upgraded Siri will rely on Google’s Gemini models running through Google Cloud on Nvidia Blackwell infrastructure.
If accurate, this represents a significant shift.
Even companies with highly integrated ecosystems may increasingly rely on specialized partners to deliver next-generation AI experiences.
Apple’s iPhone is no longer just a smartphone.
It is a computing platform used by hundreds of millions of people worldwide.
If Siri evolves into a true AI assistant, Apple is not simply improving a feature.
It is creating an AI access layer for one of the largest consumer ecosystems on the planet.
The architecture behind that experience is becoming increasingly specialized.
Apple provides the user interface.
Google provides the cloud infrastructure and AI models.
Nvidia provides the computational power.
Intel provides trusted execution environments.
Each layer solves a different problem.
Google’s role extends beyond AI models.
It provides the cloud infrastructure capable of processing AI workloads at global scale.
Google is also a founding member of the Hedera Governing Council, highlighting a long-standing interest in trusted digital infrastructure.
Nvidia’s Blackwell architecture is rapidly becoming foundational infrastructure for advanced AI systems.
But Blackwell is not only about performance.
It also introduces Confidential Computing capabilities designed to protect sensitive workloads during execution.
This is where @EQTYLab enters the picture.
EQTY Lab uses secure hardware environments from Nvidia and Intel to generate cryptographic attestations for AI workloads.
Verifiable Compute roots trust directly in silicon and extends that trust through cryptographic verification.
As AI expands into finance, healthcare, government, defense and enterprise environments, verification becomes increasingly important.
Organizations will need to know not only what an AI system produced, but how it arrived there.
Verifiable Compute addresses that challenge through cryptographic attestations.
Trust has to happen in real time.
Inside the compute process itself.
These attestations can show what happened, where it happened and under which rules it happened.
EQTY Lab’s Verifiable Compute is built with Nvidia and Intel hardware and generates cryptographic attestations for AI workloads.
Those attestations are then anchored on Hedera through the Hedera Consensus Service.
That is the trust layer.
The convergence of AI, cloud infrastructure, secure hardware and cryptographic verification points toward a larger trend.
The future of AI may not be defined solely by the quality of models.
It may also be defined by the ability to verify, govern and trust the systems behind them.
The long-term winners of the AI era may not be limited to model developers.
They may also include the platforms responsible for verification, governance, compliance and auditability.
Everyone is watching the AI.
Few are watching the trust layer underneath.
[ APPLE ]
└─> AI Interface & User Experience
│
▼
[ GOOGLE ]
└─> Gemini Models & Cloud Infrastructure
│
▼
[ NVIDIA & INTEL ]
└─> Secure AI Compute & Trusted Execution
│
▼
[ EQTY LAB ]
└─> Verifiable Compute & Cryptographic Attestations
│
▼
[ HEDERA ]
└─> Immutable Trust & Verification Layer
$HBAR
👉🏻 https://t.co/SRE4pqFYvp…
👉🏻 https://t.co/fjnHRHxNDI](https://pbs.twimg.com/media/HJ-TTJhXwAEOZ3w.jpg)
Olivia
Online
Not Jack
@Fastturtle456
Joined March 2025
297 Following
128 Followers
1.3K Posts
@PosseStudio Great interview with @thehbarbull in this $HBAR Weekly Update 👍
https://t.co/bSuquQT9zl
Hold. Trade. And now Stake.
Everything you need for @hbar is in one place:
✅ Regulated custody with a federally chartered digital asset bank
✅ Staking to earn competitive rewards
✅Trading on BitGo's platform with lower costs
Learn more: https://t.co/o0yX05DBVl
@_sam_hopkins @Genfinity @FuturityGalaxy I’m excited for open testing! Check out @KimikoProject for another possible Hedera ecosystem music collaboration
Wyden Joins The Hashgraph Association
Wyden has joined The Hashgraph Association membership program, further strengthening its commitment to advancing institutional digital asset adoption and supporting the continued convergence of traditional finance and digital asset markets.
As a provider of institutional digital asset trading infrastructure serving banks and brokers, Wyden will contribute its expertise in bank-grade trading, orchestration, and operational infrastructure to support innovation across the Hedera ecosystem and the broader digital asset industry.
Kamal Youssefi, President of The Hashgraph Association, commented: "We are delighted to welcome Wyden into our membership program. Wyden’s experience in bank-grade digital asset infrastructure will help drive innovative use cases that benefit how traditional financial institutions participate in the digital economy."
Read the full announcement: https://t.co/mrIJSgjtlT
#Wyden #Association #Hedera #DigitalAssets #InstitutionalFinance
Very excited about this!
We'll be pushing our yield update in app this month.
@bonzo_finance was a strong fit for facilitating a yield opportunity within the terminal.
🧵 Apple. Google. Nvidia. Intel. Hedera.
The next generation of AI is no longer being built by a single company.
It is emerging as a layered technology stack, where each participant provides a critical piece of the infrastructure.
Reports suggest Apple’s upgraded Siri will rely on Google’s Gemini models running through Google Cloud on Nvidia Blackwell infrastructure.
If accurate, this represents a significant shift.
Even companies with highly integrated ecosystems may increasingly rely on specialized partners to deliver next-generation AI experiences.
Apple’s iPhone is no longer just a smartphone.
It is a computing platform used by hundreds of millions of people worldwide.
If Siri evolves into a true AI assistant, Apple is not simply improving a feature.
It is creating an AI access layer for one of the largest consumer ecosystems on the planet.
The architecture behind that experience is becoming increasingly specialized.
Apple provides the user interface.
Google provides the cloud infrastructure and AI models.
Nvidia provides the computational power.
Intel provides trusted execution environments.
Each layer solves a different problem.
Google’s role extends beyond AI models.
It provides the cloud infrastructure capable of processing AI workloads at global scale.
Google is also a founding member of the Hedera Governing Council, highlighting a long-standing interest in trusted digital infrastructure.
Nvidia’s Blackwell architecture is rapidly becoming foundational infrastructure for advanced AI systems.
But Blackwell is not only about performance.
It also introduces Confidential Computing capabilities designed to protect sensitive workloads during execution.
This is where @EQTYLab enters the picture.
EQTY Lab uses secure hardware environments from Nvidia and Intel to generate cryptographic attestations for AI workloads.
Verifiable Compute roots trust directly in silicon and extends that trust through cryptographic verification.
As AI expands into finance, healthcare, government, defense and enterprise environments, verification becomes increasingly important.
Organizations will need to know not only what an AI system produced, but how it arrived there.
Verifiable Compute addresses that challenge through cryptographic attestations.
Trust has to happen in real time.
Inside the compute process itself.
These attestations can show what happened, where it happened and under which rules it happened.
EQTY Lab’s Verifiable Compute is built with Nvidia and Intel hardware and generates cryptographic attestations for AI workloads.
Those attestations are then anchored on Hedera through the Hedera Consensus Service.
That is the trust layer.
The convergence of AI, cloud infrastructure, secure hardware and cryptographic verification points toward a larger trend.
The future of AI may not be defined solely by the quality of models.
It may also be defined by the ability to verify, govern and trust the systems behind them.
The long-term winners of the AI era may not be limited to model developers.
They may also include the platforms responsible for verification, governance, compliance and auditability.
Everyone is watching the AI.
Few are watching the trust layer underneath.
[ APPLE ]
└─> AI Interface & User Experience
│
▼
[ GOOGLE ]
└─> Gemini Models & Cloud Infrastructure
│
▼
[ NVIDIA & INTEL ]
└─> Secure AI Compute & Trusted Execution
│
▼
[ EQTY LAB ]
└─> Verifiable Compute & Cryptographic Attestations
│
▼
[ HEDERA ]
└─> Immutable Trust & Verification Layer
$HBAR
👉🏻 https://t.co/SRE4pqFYvp…
👉🏻 https://t.co/fjnHRHxNDI
![MarcoSalzmann80's tweet photo. 🧵 Apple. Google. Nvidia. Intel. Hedera.
The next generation of AI is no longer being built by a single company.
It is emerging as a layered technology stack, where each participant provides a critical piece of the infrastructure.
Reports suggest Apple’s upgraded Siri will rely on Google’s Gemini models running through Google Cloud on Nvidia Blackwell infrastructure.
If accurate, this represents a significant shift.
Even companies with highly integrated ecosystems may increasingly rely on specialized partners to deliver next-generation AI experiences.
Apple’s iPhone is no longer just a smartphone.
It is a computing platform used by hundreds of millions of people worldwide.
If Siri evolves into a true AI assistant, Apple is not simply improving a feature.
It is creating an AI access layer for one of the largest consumer ecosystems on the planet.
The architecture behind that experience is becoming increasingly specialized.
Apple provides the user interface.
Google provides the cloud infrastructure and AI models.
Nvidia provides the computational power.
Intel provides trusted execution environments.
Each layer solves a different problem.
Google’s role extends beyond AI models.
It provides the cloud infrastructure capable of processing AI workloads at global scale.
Google is also a founding member of the Hedera Governing Council, highlighting a long-standing interest in trusted digital infrastructure.
Nvidia’s Blackwell architecture is rapidly becoming foundational infrastructure for advanced AI systems.
But Blackwell is not only about performance.
It also introduces Confidential Computing capabilities designed to protect sensitive workloads during execution.
This is where @EQTYLab enters the picture.
EQTY Lab uses secure hardware environments from Nvidia and Intel to generate cryptographic attestations for AI workloads.
Verifiable Compute roots trust directly in silicon and extends that trust through cryptographic verification.
As AI expands into finance, healthcare, government, defense and enterprise environments, verification becomes increasingly important.
Organizations will need to know not only what an AI system produced, but how it arrived there.
Verifiable Compute addresses that challenge through cryptographic attestations.
Trust has to happen in real time.
Inside the compute process itself.
These attestations can show what happened, where it happened and under which rules it happened.
EQTY Lab’s Verifiable Compute is built with Nvidia and Intel hardware and generates cryptographic attestations for AI workloads.
Those attestations are then anchored on Hedera through the Hedera Consensus Service.
That is the trust layer.
The convergence of AI, cloud infrastructure, secure hardware and cryptographic verification points toward a larger trend.
The future of AI may not be defined solely by the quality of models.
It may also be defined by the ability to verify, govern and trust the systems behind them.
The long-term winners of the AI era may not be limited to model developers.
They may also include the platforms responsible for verification, governance, compliance and auditability.
Everyone is watching the AI.
Few are watching the trust layer underneath.
[ APPLE ]
└─> AI Interface & User Experience
│
▼
[ GOOGLE ]
└─> Gemini Models & Cloud Infrastructure
│
▼
[ NVIDIA & INTEL ]
└─> Secure AI Compute & Trusted Execution
│
▼
[ EQTY LAB ]
└─> Verifiable Compute & Cryptographic Attestations
│
▼
[ HEDERA ]
└─> Immutable Trust & Verification Layer
$HBAR
👉🏻 https://t.co/SRE4pqFYvp…
👉🏻 https://t.co/fjnHRHxNDI](https://pbs.twimg.com/media/HJ-TTJjXYAAHyHC.jpg)
🚀 Asseto is now available on @hedera and HashSphere.
One platform. Full lifecycle. From issuance to atomic T+0 settlement, without building the infrastructure yourself.
Public or private network. Your deployment model, your data sovereignty.
👉 https://t.co/vdVqVvimq5
Hedera is built to connect 🌐
Through @QuickNode, developers can deploy gasless user experiences on Hedera with managed paymaster infrastructure, removing wallet friction for consumer apps, NFT drops, and onchain products at production scale.
🔗 https://t.co/u7WgX9g8uU
🔗 https://t.co/0PQPEk80gM
@jaycoolh Hi Jake we met this past DevDay. I’m the accountant who said “I’m not going to use ai it’s out of my wheelhouse”. Fast forward a few months… I just finished a gpt based project and moved to another helping automate workflows with Claude. Thanks for the encouragement!
Hashgraph and ioBuilders Launch Asseto: One Platform for Tokenized Securities
Live on public Hedera and private HashSphere. Full lifecycle in one stack.
€6B+ processed. 60+ projects delivered.
What Asseto covers:
• Equities, bonds, money market funds
• Loans and private equity
• Atomic DvP/DvD settlement at T+0
• Issuance, trading, lifecycle, reporting
Public or private deployment. Institution's choice.
Built for banks, asset servicers, and fund operators.
Tokenization, productized.
@hashgraph @Hedera @iobuilders hedera-hashgraph:native
Australian Payments Plus used Hiero to bridge stablecoins and central bank digital currency. SWIFT launched a private shared ledger for tokenized deposits. Linea's ZK rollup stack is now part of LF Decentralized Trust as Lineth.
June Decentralized Digest:
https://t.co/NBN8L2y9MD
We’ve just surpassed 11 million $DOVU transactions on the @hedera mainnet!🤘
But we’ve barely begun to unlock what’s possible.
The real momentum hasn’t even started yet.
Everything Banks and CUs need - all in one, modular experience.
Powered by $BSL
Two new Bonzo Vaults have launched: $ORBIT-$HBAR & $HBAR-$ORBIT.
Put your assets to work via Bonzo Finance's automated yield-optimization engines. Maximize yield and compound rewards seamlessly across the Hedera ecosystem, removing manual complexity. 🪐
https://t.co/wRkQQqFPK4
There are no borders with CLPR - imagine infinite liquidity across blockchains.
At HederaCon 2026, Dr. @leemonbaird shares how CLPR from @hashgraph could transform interoperability & unlock seamless value transfer across the industry.
⚡️ Spirits. Comics. Cards. Shining a Spotlight on Hedera Builders Shipping Real Utility.
• Own a barrel. 8-12% average growth
• Publish a comic. Earn royalties forever
• Build a deck. Play free. Own it onchain
Ownership. Royalties. Gameplay. All on Hedera.
@CaskCapital | @Quivacomics | @FuturityGalaxy
Podcast powered by @Hashpack
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