At HolmesAI, “Persona” represents a personalized knowledge base that enables Agents across various scenarios to really “think and act like users,” thereby unleashing human creativity.

The key to creating AI Agents with authentic “human-like” qualities lies not in algorithmic complexity, but in Persona — the unique personality framework that determines an Agent’s tone, expertise, and behavioral patterns. HolmesAI’s groundbreaking Persona system fundamentally addresses the personalization limitations of traditional AI Agents.

Through HolmesAI, users can build comprehensive Personas that include knowledge bases, language styles, thought patterns, and behavioral preferences, enabling Agents to accurately simulate users’ cognitive and expressive patterns, achieving true human liberation from repetitive tasks.

The platform’s revolutionary innovation transforms each Persona into tradable digital assets. Blockchain technology ensures data sovereignty, allowing Personas to be deployed on multiple Agents. The more frequently a Persona is used, the greater the economic rewards for its creator.

“HolmesAI empowers everyone to own hyper-personalized Agents that truly reflect their individuality, finally freeing humanity from repetitive cognitive tasks,” said Chris, Founder of HolmesAI. “We’re starting with social media platforms, especially X, given how integral they are to modern digital life, before expanding to other industries.”

On July 14, HolmesAI officially launched its Persona-powered application for the X platform. This integration allows users to create their own personalized X Agents, enabling automated and tailored post generation. The platform will also roll out an “Incentive Program,” offering participants a variety of benefits.

The latest funding round, backed by several well-known institutions, underscores strong market confidence in decentralized AI Agents. “Autonomous AI is emerging as a key direction for the industry,” said Kevin, Partner at Bitrise Capital. “HolmesAI’s innovative Persona system enables a precise understanding of users’ needs, making personalized Agents accessible to all. We believe it holds long-term value in the Web3 ecosystem.”

HolmesAI is a Persona-based AI Agent service platform. Our “Persona” system creates dynamic, personalized knowledge bases that enable AI Agents to genuinely understand and emulate user behavior — thinking and acting just like real users to unlock unprecedented creative potential.

🌐 Website: https://holmesai.xyz/

🖇 Socials:

🐦 X (Twitter): https://x.com/HolmesAI_

💬 Telegram: https://t.me/HolmesAIOfficial

💭 Discord: https://discord.com/invite/s5agSyVWRG

HolmesAI, the user-centric decentralized AI Agent service platform, and Taigo.ai, the first agent-based crypto exchange gateway, today announced a strategic partnership. This collaboration aims to integrate HolmesAI’s autonomous agent ecosystem with TaigoAI’s AI-powered trading infrastructure, creating a seamless bridge between intent-driven crypto asset management and decentralized AI services.

TaigoAI, known for its innovative multi-agent AI system, empowers users to automate trading strategies, access real-time market insights, and manage digital assets across exchanges through a unified interface. By partnering with HolmesAI, TaigoAI will leverage HolmesAI’s decentralized AI Agent capability, which analyzes user profiles via its intelligent knowledge base and enables autonomous decision-making through community-driven AI tools.

Together, the platforms will explore integrations such as:
🔹 AI-Optimized Portfolio Management: TaigoAI’s intent-execution agents leveraging HolmesAI’s user profiling for personalized strategies.
🔹 Decentralized AI for Market Signals: HolmesAI’s knowledge bases enhancing TaigoAI’s real-time crypto insights.
🔹 Cross-Platform Asset Interoperability: Unified access to trading, staking, and AI-agent utilities.

This partnership reflects a shared commitment to innovation, security, and user empowerment in the rapidly evolving decentralized AI and crypto landscape.

About HolmesAI
HolmesAI is a user-centric decentralized AI Agent platform that deeply analyzes user profiles through its intelligent knowledge base, empowering users to fully liberate themselves via autonomous agents. Learn more:
🌐 https://www.holmesai.xyz | 𝕏 https://x.com/HolmesAI_

About TaigoAI
Taigo.ai is the first agent-based crypto exchange gateway that bridges AI with digital asset markets. Learn more:
🌐 https://taigo.ai | 𝕏 https://x.com/Taigo_AI

The platform offers these resources through a flexible rental model, empowering AI developers with scalable computing power. Its pioneering eRDMA technology enables stable GPU interconnections within a 100-kilometer range while significantly enhancing computational performance. For instance, the eRDMA technology enables interconnection between diverse GPU models (3080, 2080, 3080Ti, 4090) from multiple providers, ultimately delivering computational capabilities comparable to an H100 cluster.

Technical Innovation

Traditional centralized computing networks rely on RDMA (Remote Direct Memory Access) for low-latency, high-bandwidth data transmission, supporting distributed training, data center interconnection, and GPU acceleration. However, decentralized networks require more robust networking solutions to ensure seamless AI operations. To address this, HolmesAI developed eRDMA (Enhanced Remote Direct Memory Access), a technology designed to overcome public network interconnection challenges and establish an AI computing network spanning hundreds of kilometers.

Conventional communication libraries like Gloo depend on TCP. While TCP is reliable, it introduces substantial latency and resource overhead. These limitations become especially severe in high-latency, high-packet-loss, or complex network environments. Additionally, TCP/IP faces challenges with Network Address Translation (NAT) and firewall restrictions, constraining the scalability and flexibility of distributed systems.

eRDMA resolves these issues by improving transmission efficiency, optimizing protocol performance, and enhancing network adaptability. HolmesAI’s solution incorporates four key innovations:

1. Integration of QUIC Protocol

HolmesAI replaced the traditional TCP-based communication layer with QUIC, a UDP-based protocol. QUIC retains TCP’s reliability and congestion control while delivering lower latency and higher transmission efficiency — particularly advantageous in unstable networks.

2. Incorporation of P2P Technology

By embedding Peer-to-Peer (P2P) networking, HolmesAI enhances NAT traversal capabilities, enabling direct node-to-node communication even in restrictive network environments.

3. DPDK Optimization

The platform leverages the Data Plane Development Kit (DPDK) to optimize the protocol stack, utilizing memory management and data plane acceleration to maximize processing efficiency.

4. GPU-Accelerated Compression

HolmesAI employs GPU-accelerated compression to reduce data transmission volume and improve bandwidth utilization. By offloading compression tasks to GPUs, the system achieves faster processing and higher throughput.

Performance Impact

In large-scale data transmission scenarios, GPU-accelerated compression significantly reduces data volume while improving bandwidth efficiency. Combined with QUIC, P2P, and DDPK optimizations, HolmesAI delivers robust performance gains for distributed computing systems. Experimental results confirm the technology’s effectiveness across diverse scenarios, validating its practical utility in collective communications.

Through these advancements, HolmesAI provides a resilient, high-efficiency communication framework for distributed computing — enabling even low-memory GPUs to collaboratively support larger AI models.

🌐 HolmesAI — A one-stop & decentralized AI Agent service platform

HolmesAI is a one-stop, decentralized AI Agent service platform that enables users to liberate themselves with autonomous agents. The HolmesAI Agent Chain integrates the MCP and A2A Protocol, eliminating system silos and fostering a secure collaboration ecosystem among contributors, developers, and Agents — all while safeguarding personal data sovereignty and privacy. Additionally, its blockchain-based incentive mechanism ensures that every participant retains autonomy and receives fair rewards.

🖇 Socials:

🌐 Website: https://holmesai.xyz/

🐦 X (Twitter): https://x.com/HolmesAI_

💬 Telegram: https://t.me/HolmesAIOfficial

💭 Discord: https://discord.com/invite/s5agSyVWRG

✍️ Medium: https://medium.com/@holmesai

🌴 Linktree: https://linktr.ee/HolmesAI

A2A remains the focal point of discussion since Google release its A2A(Agent-to-Agent) protocol. At the same time, the A2A-MACP fusion is blazing a trail as the next frontier in intelligent agent networks. Their combination has not only catalyzed explosive growth in the agent ecosystem but also exposed deep-rooted challenges such as data security and resource silos. Web3’s decentralized nature offers novel solutions to these issues.

To start, let’s briefly unpack what A2A and MCP actually mean.

A2A and MCP: The “Neural Center” and “Limbs” of AI

A2A: The “Social Network” for AI

The A2A protocol acts like a “social network for AI,” enabling real-time communication and task coordination between agents from different vendors and technical frameworks. For example, a corporate scheduling agent and a supply chain agent can directly collaborate via A2A without human intervention. Each agent publishes its capabilities through an AgentCard (a JSON-formatted metadata file), allowing others to dynamically discover and invoke its services.

MCP: The “Tool Library” for AI Models

MCP resolves the challenge of AI models interacting with external tools. By standardizing interfaces, it connects AI models to APIs, databases, document editors, and more, eliminating the need for developers to write custom adapters. For instance, in legal document processing, MCP allows an AI model to directly invoke contract parsing tools without understanding underlying API logic. This “plug-and-play” feature significantly lowers development barriers.

A2A+MCP: From “Solo Operations” to “Coordinated Armies”

A2A and MCP function as AI’s “neural center” and “limbs,” transforming agents from isolated vertical systems into open collaborative networks. In finance, a team comprising a financial analysis agent, tax calculation agent, and risk assessment agent can dynamically allocate tasks via A2A while leveraging external data sources and tools through MCP to generate comprehensive reports. This collaboration not only boosts efficiency but also equips AI systems to adapt to complex tasks.

Agent Explosion and Underlying Challenges

The fusion of A2A and MCP has triggered exponential growth in agent adoption. Over 500,000 A2A-enabled agents now operate across 20+ industries, including finance, healthcare, and education. This growth stems from two key advantages:

· Modular Development: Developers quickly build complex applications by combining agents (e.g., merging image recognition with data analysis agents for supply chain monitoring).

· Cross-Platform Collaboration: A2A bridges technical divides (e.g., Python-based finance agents seamlessly interact with Java-based logistics agents).

However, rapid AI agent development also introduces critical challenges:

Data Security and Privacy Risks

Tool Poisoning Attacks (TPA) targeting MCP have become a real threat. Attackers disguise malicious tools to manipulate AI models — for example, tampering with medical records via rogue MCP services to cause misdiagnoses. A2A’s openness exacerbates this risk, as malicious agents can spread disinformation through collaboration networks.

Lack of Oversight and Permission Abuse

A2A lacks mechanisms to constrain agent behavior, leading to resource abuse. A logistics agent, for instance, might arbitrarily impose “service fees” on others without oversight. MCP also faces context pollution risks, where malicious services alter tool descriptions to trigger system anomalies.

Accountability Gaps

Tracing responsibility for anonymous agents posting illegal content remains extremely difficult. A system balancing privacy and accountability is urgently needed.

Rise of Personal AI Agents and Governance Dilemmas

As personal AI agents proliferate, user demand for data sovereignty intensifies. For example, users want their assistant agents to process data locally, but A2A’s default cloud-based communication conflicts with this. Such contradictions erode trust and fuel “data sovereignty movements.”

Is Web3 the Antidote?

Decentralized Identity and Trust Mechanisms

Web3’s decentralized identity (DID) technology provides verifiable identifiers for agents. Each agent registers on a blockchain, with collaboration logs immutably recorded. In financial scenarios, transactions require smart contract validation to ensure rule compliance.

Privacy Protection and Data Sovereignty

Zero-knowledge proofs (ZKP) and homomorphic encryption safeguard privacy. In healthcare, agents prove data compliance via ZKP without exposing raw data. Users also control data access through smart contracts (e.g., limiting access to specific agents or time windows).

Dynamic Resource Allocation and Governance

Decentralized autonomous organizations (DAOs) offer governance frameworks. In logistics networks, agents vote via DAO to allocate resources and prevent abuse. On-chain data markets enable micropayments for external data (e.g., weather agents paying tokens for real-time forecasts).

User Experience Revolution

Decentralized storage (IPFS) and edge computing enhance responsiveness. Personal agents store data locally via IPFS, reducing cloud dependency. Edge nodes process commands closer to users (e.g., smart home agents handling device instructions locally).

Universal Accessibility

Web3’s incentive mechanisms democratize resources (compute, data, models), enabling anyone to contribute and build AI agents.

The Future of DeAI

The convergence of A2A and MCP marks AI’s transition from the “tool era” to the “social era,” with Web3 underpinning a safer, more trustworthy DeAI ecosystem. Future trends include:

· Democratization: Personal data control shifts from tech giants to individuals, enabling anyone to build agents.

· Data Security: Sensitive data is classified and stored on-chain with secure access protocols.

· Value Loop Closure: Contributors exchange resources via token economies (e.g., data providers monetizing access).

A revolution is underway: A2A, MCP, and Web3 are joining forces to create an AI world that’s more open and fair for everyone. But who’s leading the charge? Stay tuned for our next story, where we’ll meet the visionaries building tomorrow’s AI — no tech jargon, just real-world impact.

🌐 HolmesAI — A one-stop & decentralized AI Agent service platform

HolmesAI is a one-stop, decentralized AI Agent service platform that enables users to liberate themselves with autonomous agents. The HolmesAI Agent Chain integrates the MCP and A2A Protocol, eliminating system silos and fostering a secure collaboration ecosystem among contributors, developers, and Agents — all while safeguarding personal data sovereignty and privacy. Additionally, its blockchain-based incentive mechanism ensures that every participant retains autonomy and receives fair rewards.

🖇 Socials:

🌐 Website: https://holmesai.xyz/

🐦 X (Twitter): https://x.com/HolmesAI_

💬 Telegram: https://t.me/HolmesAIOfficial

💭 Discord: https://discord.com/invite/s5agSyVWRG

✍️ Medium: https://medium.com/@holmesai

🌴 Linktree: https://linktr.ee/HolmesAI

HolmesAI, in partnership with AScoin Wallet, is excited to announce a limited-time co-giveaway event, offering participants the chance to earn 2,000 HolmesAI Community Points (CP) and $100 USDT in cash rewards.

Reward Details

Participants can win:

• 2,000 HolmesAI Community Points (CP) — Key metrics for future HolmesAI token airdrops. Each winner will receive 200 points.
• $100 USDT Prize Pool — 20 lucky winners will each receive 5 USDT.

Winners will be randomly selected from all participants who complete the tasks.

· CP will be credited to winners’ HolmesAI accounts after the event.

· USDT rewards will be sent directly to winners’ wallets.

Why HolmesAI Community Points Matter?

HolmesAI Points serve as a key value driver in the ecosystem, functioning as incentives and circulation tools. Community Points (CP) are designed for contributors, offering holders:

· Early access to token allocations — CP determines future HolmesAI token distribution quotas.

· Exclusive utility — Unlock special features in upcoming platform upgrades (e.g., AI services).

· Ecosystem bridge — CP deepens value alignment between users and the platform.

· Long-term rewards — Active engagement earns more CP, unlocking greater benefits.

How to Participate?

Complete all tasks on Galxe Quest:

🔗 https://app.galxe.com/quest/assurewallet/GCt59t1v3T

⏰ Event ends: April 9, 2025 (UTC+8).

📈 More engagement = Higher winning chances!

About HolmesAI

HolmesAI is a one-stop decentralized AI service platform providing comprehensive DeAI infrastructure to lower entry barriers for dApps developers. Backed by Hashkey Group and Bitrise, HolmesAI is committed to creating an DeAI ecosystem where protocols, data, models, computing resources are accessible and transparently managed on-chain — facilitating fair co-creation, automated revenue sharing, and frictionless AI innovation, free from centralized constraints.

About AScoin Wallet

AScoin is a Web3.0 decentralized digital wallet, as well as an aggregated management platform for encrypted assets. AScoin focuses on the demands of users in Web3.0, offering a secure, reliable and user-friendly self-hosted service for encrypted assets. AScoin interconnects with the top centralized exchanges, seamlessly bridges CEX and DEX and becomes a wallet with which users can switch freely from CeFi and DeFi. AScoin aims to provide its users with a secure, useful and value-added management tool for encrypted finance, making it easier for crypto management, and becomes the portal of Web3.0 digital financial ecosystem.

But why now? Why one-stop DeAI solution?

Open-Source Models and Low Costs Drive AI Massive Adoption

As all we know, breakthroughs in large models and the rapid expansion of the open-source AI ecosystem have significantly lowered the barriers to AI adoption, enabling its application across a wide range of scenarios.

The rapid adoption of large language models such as ChatGPT and DeepSeek has further strengthened AI’s presence in the market. ChatGPT has rapidly accumulated a vast user base since its launch. As of February 2025, its daily active users in USA reached 14.9 million. Meanwhile, DeepSeek has gained widespread attention with its open-source strategy and cost-effective models. As of February 4, 2025, DeepSeek had amassed 160 million users, experiencing explosive growth. Its DAU exceeded 20 million, and its cumulative downloads reached 16 million within just 18 days — setting an industry record with an almost “one million users per day” growth rate.

Moreover, DeepSeek’s cost-efficient training and open-source model approach have enabled more startups to thrive in the AI sector, further fueling AI’s rapid advancement.

Four Challenges Hold Back the Advancement of AI

Despite AI’s rapid progress, key issues like data monopolization, privacy concerns, centralized computing resources, and closed ecosystems persist, concentrating power in a few tech giants. While DeepSeek’s open-source model promotes decentralization and lowers barriers, it still falls short in addressing computing dependency, data silos, ecosystem integration, and model maintenance challenges.

Data Monopolization: Web2 AI heavily relies on large-scale data training, but most data is controlled by tech giants such as Google, Meta, and Amazon, creating data silos. Smaller AI companies and developers struggle to access high-quality data, limiting industry innovation. The lack of transparency in AI data markets also leads to an unfair data supply chain.

Data Privacy: In Web2 AI, users have little to no control over their data, leading to frequent privacy breaches. The Cambridge Analytica scandal involving Meta exposed the data of 87 million users. While AI relies on user behavior data to optimize models, regulatory frameworks like GDPR and CCPA impose strict data collection limits, increasing compliance costs for Web2 AI companies.

Compute Power Centralization: AI training and inference require expensive GPU computing resources, which are highly concentrated in the hands of a few corporations, making access unaffordable for independent developers.

Closed Ecosystems: Many AI development tools and models are proprietary and closed-source, creating technical barriers for developers and preventing the formation of truly open AI applications.

There Is a Lack of Comprehensive DeAI Ecosystem

Though much Web3 projects have introduced decentralized compute solutions, challenges such as data decentralization, open AI models, and support for decentralized AI applications remain largely unsolved.

Key issues in the current Web3 AI ecosystem:

· Lack of a complete DeAI infrastructure — Existing platforms focus solely on distributed compute power without a full-fledged DeAI developer ecosystem.

· Insufficient decentralization in data storage and access — AI training data is still stored on centralized servers, lacking robust privacy protection mechanisms.

· High barriers to AI application development — Most existing Web3 solutions focus on low-level infrastructure, lacking user-friendly development tools, making it difficult for developers to enter the DeAI space.

HolmesAI’s All-in-One Solution

HolmesAI aims to build a fully decentralized AI ecosystem, addressing the limitations of Web2 AI and enabling developers to build AI applications more efficiently, fostering long-term AI growth.

Beyond decentralized computing resources, HolmesAI integrates open-source models, inference services, post-training tools, decentralized storage, and blockchain solutions into a single platform. It provides dApp developers with a comprehensive AI solution — lowering the barrier to entry for AI R&D — while equipping AI startups and enterprise customers with efficient tools, frameworks, and infrastructure to easily deploy, manage, and scale applications in a decentralized environment.

By providing a fully decentralized AI ecosystem that redefines resource allocation, ownership, and collaboration. HolmesAI address the critical bottlenecks in AI development through blockchain-based coordination, ensuring fair access to compute power and models, transparent ownership tracking, and an automated revenue-sharing mechanism that rewards all contributors — including model creators, data providers, and infrastructure suppliers.

At its core, HolmesAI fosters true AI co-creation, where every stakeholder involved in an AI app’s success — whether developers, model contributors, or compute providers — is fairly compensated through on-chain smart settlements. The platform enables seamless collaboration while distributing both the risks and rewards of AI innovation. Additionally, HolmesAI provides developer-friendly services that simplify integration, making decentralized AI accessible to businesses, researchers, and creators worldwide.

HolmesAI provides one-stop AI online services for developers and enterprises globally, covering AI computing, models, storage, inference, post-training, and blockchain infrastructure — lowering the barriers to AI development and accelerating the adoption of AI technology.

Why choose HolmesAI?

Despite the rapid development of AI in the Web2 space, it still faces challenges such as data monopolization, privacy protection, centralized computing power, and a closed ecosystem, limiting AI advancements to a few tech giants. While open-source models like DeepSeek help reduce the closed nature of AI ecosystems and promote decentralized AI (DeAI), they fail to fully address critical issues such as computational resource dependency, data silos, lack of ecosystem integration, and challenges in model iteration and maintenance.

HolmesAI is committed to building a comprehensive DeAI ecosystem with the core principles of Permissionless, Autonomous, and Fairness, creating a truly open, fair, and transparent decentralized AI environment. This enables all developers to freely build and utilize AI, driving the democratization of the AI industry.

The platform now offers a full suite of services tailored for decentralized AI, including decentralized GPU resources, open-source models, inference, post-training, decentralized storage, and blockchain services, seeking to lower the barrier to entry for developers, and bring efficient tools, frameworks, and infrastructure to easily deploy, manage, and scale these applications in a decentralized environment to AI startups and enterprise customers.

HolmesAI: Pioneering the Future of Decentralized AI

HolmesAI is dedicated to building a fully decentralized AI development ecosystem, providing developers with a comprehensive DeAI infrastructure to make AI development more efficient, cost-effective, and open.

With HolmesAI, developers will enjoy a fully distributed AI infrastructure where computational power, storage, and models are openly accessible, where blockchain-based ownership mechanisms ensure contributors retain control and receive fair value for their assets. And HolmesAI simplify AI deployment and integration by offering developer-friendly tools that accelerate AI inference, post-training, and decentralized application (Dapp) development.

HolmesAI also hopes to boost productivity across the entire ecosystem, providing value to all contributors — compute providers, model creators, and developers — share in both the risks and successes of AI applications through smart contract-based settlements.

Comprehensive Services for a Decentralized Ecosystem

The upgraded HolmesAI offers a diverse range of services designed to meet the growing demands of the AI applications:

Decentralized GPU Resources: Providing scalable, low-cost and efficient computational power to handle complex AI tasks.

Open-Source Models: Encouraging innovation and collaboration by offering access to a variety of open-source AI models. The inclusion of open-source models fosters innovation and collaboration, enabling developers to build and refine AI solutions without the constraints of proprietary systems.

Inference Service: Ensuring model ownership, simplifies authorization, and provides AI developers with seamless, one-click access and high availability.

Post Training: Offering tools for deploying, monitoring, and updating models in production environments, facilitating efficient model management.

Decentralized Storage: Ensuring secure and scalable storage solutions for AI data and models.

Blockchain Infrastructure: Redefining AI co-creation by establishing a transparent, on-chain economic model where all contributors are fairly compensated through automated smart settlements.

Empowering Developers and Enterprises

HolmesAI’s brand upgrade is set to empower developers and enterprises by providing them with the tools and resources needed to innovate and deploy AI solutions at scale. The platform’s decentralized approach not only enhances security and transparency but also democratizes access to cutting-edge AI technologies.

With this strategic upgrade, HolmesAI is poised to lead the charge in the decentralized AI revolution. By offering a comprehensive suite of services, the platform aims to accelerate the adoption of AI technologies across various industries, driving innovation and creating new opportunities for growth.

About HolmesAI

HolmesAI is a one-stop decentralized AI online service platform that offers a full suite of services tailored for decentralized AI, including decentralized GPU resources, open-source models, inference, post-training, decentralized storage, and blockchain services. With HolmesAI, developers will enjoy a fully distributed AI infrastructure where computational power, storage, and models are openly accessible, where blockchain-based ownership mechanisms ensure contributors retain control and receive fair value for their assets. And HolmesAI simplify AI deployment and integration by offering developer-friendly tools that accelerate AI inference, post-training, and decentralized application development. With the goal of building a fully decentralized AI development ecosystem and boosting productivity across the entire ecosystem, HolmesAI provides value to all contributors — compute providers, model creators, and developers — share in both the risks and successes of AI applications through smart contract-based settlements.

For more information, visit https://holmesai.xyz/.

Follow X: https://x.com/HolmesAI_

Join the community: Discord ｜Telegram

HolmesAI is so excited to announce the strategic partnership with AGI Open Network (AON). AON is an open platform empowering developers and creators to build, deploy, and monetize AI Agents and AI applications. And HolmesAI is a high-performance and decentralized AI inference platform for LLM applications. This partnership aims to lower the barriers to AI adoption, unleashing the full potential of AI innovation.

By leveraging HolmesAI’s inference power and AON’s open platform, the collaboration will offer comprehensive support for developers and startups, enabling them to build and deploy more advanced AI agents. On the one hand, HolmesAI will offer a low-cost, low-latency, and maintenance-free AI inference service for the applications on the AON platform. On the other hand, with AON’s tokenization tools resources (eg 3,000+ open-source AI models) and tokenization tools, it will provide support with AI startups in both technology and commercialization.

Far more, both of parties will launch global outreach initiatives, hackathons, and community activities to bring more Web2 developers into the decentralized AI ecosystem, empowering a future where AI is accessible, democratized, and easy-to-use.

About AON:

AON is an open platform empowering developers and creators to build, deploy, and monetize AI Agents and AI applications. By providing comprehensive tools and resources, including 3,000+ open-source AI models, a robust Web3 SDK, and innovative tokenization mechanisms (IAO & IMO), AON makes AI development efficient and accessible. AON bridges Web2 and Web3 developer communities and drives global AI innovation through decentralization.

Learn more about AON:

Website: www.agiopen.network

Twitter X: https://x.com/AGIOpenNetwork

Telegram: https://t.me/AGIOpenNetwork

Medium: https://medium.com/@aon_aonet

About HolmesAI:

HolmesAI is the world’s first decentralized, high-performance AI inference platform. By leveraging crypto and innovative eRDMA technology, it transforms idle consumer GPUs into a powerful network for running large language models, providing affordable GPUs and maintenance-free services to AI startups. HolmesAI ensures service levels on par with traditional cloud providers while prioritizing genuine value for the users.

Stay tuned with HolmesAI by the following Channels:

Website, X, Telegram Group, Discord

The partnership between Dill and HolmesAI will bring tremendous potential for both ecosystems. Given the high data demands and low latency requirements of AI inference and Large Language Model, a high scalable data layer is crucial for delivering an efficient and economical AI inference platform. With its unique DA solution for sovereign applications, Dill has ability to offer unparalleled customizability and sovereignty for HolmesAI platform, along with its secure, native interoperability within the ecosystem. And by using advanced sharding technologies, Dill enhances data availability performance and efficiency by 10 to 100 times compared to other networks.

With Dill’s support, HolmesAI ensures service levels on par with traditional cloud providers while prioritizing genuine value for our users. And by leveraging crypto and innovative eRDMA technology, HolmesAI transforms idle consumer GPUs into a powerful network for running large language models, providing affordable GPUs and maintenance-free services to AI startups. Its AI inference platform TurboIN integrates with various models, including GPT, ChatGLM, LLaMA, Mixtral, Qwen, and Baichuan, and is compatible with platforms like Hugging Face, OpenCGA, and ModelScope, offering superior throughput and reduced latency for a seamless user experience.

And, HolmesAI Pioneer Rewards Season II has kicked off, continuing to recruit GPU providers to join the HolmesAI Cloud network and support AI inference with computing power. A maximum of 5,000 GPUs will be accepted by the end of Season 2. There is no first-come, first-served policy, as we only track the total GPU count. As long as the total hasn’t reached 5,000, participants still have a chance to join. For more details on rewards and requirements: https://holmesai.xyz/docs/holmesAI-pioneer-rewards/season2

Learn more about HolmeAI: https://holmesai.xyz/

Follow HolmesAI on X: https://x.com/HolmesAI_

Join the group: https://t.me/+8hSsxlHpzmo2ZGNl

Join the community: https://discord.com/invite/s5agSyVWRG

HolmesAI Pioneer Rewards Season II has started on November 1, 2024 (UTC/GMT -4). Season II continues to recruit GPU providers to join the HolmesAI Cloud network and support AI inference with computing power. A maximum of 5,000 GPUs will be accepted by the end of Season 2. There is no first-come, first-served policy, as we only track the total GPU count. As long as the total hasn’t reached 5,000, participants still have a chance to join. For more details on rewards and requirements: https://holmesai.xyz/docs/holmesAI-pioneer-rewards/season2.

Participants in this event will earn points based on the GPU contribution. which is crucial for future airdrop allocation. And more importantly, season I participants will enjoy a 115% bonus multiplier for continued contributions! Plus, for all participants— old and new — you can earn points at a 160% multiplier once your resources have been used effectively.

Providers who join the network earlier will earn more points. Join us now: https://console.holmesai.xyz/!

HolmesAI, a high-performance AI inference platform powered by decentralized cloud computing resources, is engaged in accelerating the process of AI inference to transform AI’s capability into the real-world productivity. HolmesAI has partnered with HashKey Tokenisation, which has been helping us to design the tokenomics and HolmesAI economy. And has been participating in CryptoOracle Collective Accelerator — Cohort #2.

HolmesAI is committed to being a key contributor to the decentralized AI revolution. With a vision that spans the entire stack — from DePIN to AI inference, we boost productivity across the entire ecosystem, providing value to all stakeholders — from GPU contributors to AI developers — by creating a more equitable and efficient framework throughout the AI development lifecycle.

Learn more about HolmesAI: https://holmesai.xyz/

Follow us on X: https://x.com/HolmesAI_

Join Telegram Group: https://t.co/naNXmnvlw5

Join Discord Community: https://t.co/GKQULhRSVc