Guest Introduction

Alex Goh 

Co-founder of EMC protocols and based in Singapore. More than 20 years of Global Market development; Formerly GM of Improbable.io Greater China; Formerly GM of Amazon Web Service, Global Account.

Terrence

Board member of EMC foundation | Advisor, Global GTM Stretegy

Jonathan

Exabits.xyz;

Charan

CEEX operation manager.

Background

We’re at a pivotal moment in the evolution of blockchain technology, where computing power isn’t just about processing speed anymore; it’s about building the foundation for advanced applications in Web3 ,AI and beyond.

In the midst of these exciting developments stands EMC, a pioneering platform in the web3 , uniquely integrating GPU computing power assets with AI applications. EMC is not just a high-performance decentralized AI computing power application network; it’s the flagship project for AI computing power DePIN. It stands out as the only project that brings GPU computing assets directly to ordinary developers and users at low cost and with great convenience. Tonight, we’ll explore how EMC is shaping the future of blockchain technology .

AMA Details

Q1: What is the role of computing power in the blockchain landscape? Particularly in the context of EMC, how does this capability impact the overall blockchain scenario and its developmental trends?

Alex: I believe AI and blockchain will be the number one topic for the next bull run. So we’re very excited to bring you into EMC’s world, where we are going to blend AI and blockchain together, powering AI with a blockchain pack.

In this world of AI, the GPU serves as the energy to power AI. So nothing else is more important than the GPU or the computing power. Just like in the last few industrial revolutions, you had gasoline powering the car, and you had coal powering the train, which brought us a new future. Similarly, GPU and computer power are going to power the AI that will transition or revolutionize the whole world. This is why, at EMC, we see this as a golden opportunity to support the development of AI, and EMC is going to integrate computing power.

Powered by the blockchain and leveraging RWA, DePIN (decentralized physical infrastructures) on GPU, we aim to help drive the entire AI revolution.

Q2: Why does EMC choose Arbitrum for this significant transition? What’s next on EMC’s roadmap. What exciting developments can we expect to see in the near future?

Alex: First of all, everyone who knows EMC and follows us from the early days knows that we actually built our EMC network on ICP. We appreciate all the support from DFINITY Foundation and ICP, and we will continue to support ICP. For many of our projects, in fact, our front end is still running on ICP. Nevertheless, when we are looking into developing the future EMC ecosystem, we believe that we need to make a wise choice for the right ecosystem that would help us maximize the entire EMC community.

This decision has led to our key transition, for which we used the last few months to develop our new protocol. It has now been migrated to Arbitrum for our tokenomics, powering our tokenomics and our entire chain. The reason behind this is that when we researched the market, the biggest TVL is still locked in the Ethereum ecosystem. To give you some numbers, from a TVL perspective, it is 28 billion. The reason why we chose Arbitrum is obvious. Arbitrum has very good technology and low gas fees compared to using Ethereum natively.

Apart from that, Arbitrum is probably the largest on Layer 2, with the latest number being 2.35 billion. This gives us significant exposure to investors, ecosystem players, and provides the best outcome for the entire EMC and our community. From a technology perspective, Arbitrum has a shared better-tested security and reliability. What’s more important is that it is interoperable with the Ethereum ecosystem, helping us access one of the largest communities from the Ethereum network. We believe that this is the right decision for the EMC community, leading to our transition over the last few months. We are grateful to announce that our transition is complete, and the future EMC mainnet will be running on Arbitrum One. We have already opened up our cross-chain between Arbitrum One and ICP, allowing ICP DIP20 tokens that were originally running on our test net to be converted through our cross-chain bridge into Arbitrum One for new tokens.

Q3: EMC’s has buit a strategic partnership with Hashmeta.Can you share some innovative ways EMC is incubating and advancing AI? Additionally, how is EMC planning to engage those influential Web2 KOLs within the EMC Ecosystem?

Terrence: This is almost like a dream team able to put together a few things from computing power, AI, and web3 technologies for the creator economy. It’s reminiscent of how the mobile internet evolved, if everyone recalls. At one point, we had all the third-party apps in app stores. Currently, we are witnessing a similar phenomenon where a lot of AI developers are entering the market.

Over the past 12 months, we have been working on this, and we have noticed several trends while collaborating with AI creators and developers. There is a huge opportunity in these perspectives. We believe that by marrying these elements together, we can create a new economy by combining the existing creative economy and the web — two economies. This is something that we are committed to pushing for in the future.

Q4: We have Jonathan from exaBITS with us today. I heard that exaBITS’ network of GPUs is a very well-known distributed GPU operator in the US, ranges from consumer-grade to H100s, offering the most cost-effective compute. Jonathan Can you please introduce yourself and exaBITS to EMC community?

Jonathan: I’ve been in crypto since 2014 as a builder, involved in crypto regulations with governments worldwide to create friendly regulatory environments. I also rode the wave of web3 gaming, launching free web3 games and building a game with my partners that attracted over 2000 players. During the ICO era, I was involved with over 40 projects, contributing to the building of the largest crypto community in the Philippines with over 75,000 members.

At exaBITS, I lead business development, investments, and crypto alongside my colleagues who also wear multiple hats in our small but growing startup. ExaBITS is building a decentralized AWS, having aggregated over 65,000 GPUs so far. We work with data centers and mining rigs worldwide, ranging from 3090 to the highly coveted H100. Our team brings over 15 years of experience in cloud computing finance, with backgrounds from organizations such as Meta, White House hedge funds, and Bitmain. We have also built large data centers and crypto mining facilities.

Currently, we’re actively servicing a full range of customers and partnering with companies like EMC and others to provide computing power to early-stage Gen. AI startups and larger unicorns. Our value proposition at exaBITS is providing cost-efficient infrastructure by cutting costs up to 80% and accelerating model training time by as much as 30%.

Q5: Could you talk about exaBITS’ role in partnering with EMC, particularly in terms of integrating idle GPU nodes into the EMC network for AI applications? How this partnership is being put into action, perhaps with an EMC customer?

Jonathan: Like Alex said, there’s a huge crunch in access to AI and GPU. Not anyone with any GPU can just plug in automatically and be able to run AI applications. So what exaBITS does for the EMC community is provide that infrastructure. What that means is, as EMC focuses on the application layer of the stack, we specialize in ensuring that the infrastructure is secure in terms of reliability, speed, cost, and security. Customers can go through the EMC network to apply to use the GPUs that are powered by exaBITS. We are happy to have another player in the stack, and this collaboration allows us to work together.

Q6: Next up, we’re thrilled to welcome a very special guest, Charan, the Operations Manager of CEEX. Mr. Charan Could you give us a little teaser on the timeline about EMC’s upcoming launch?

Charan: CEEX is a global digital currency trading platform that provides a one-stop service, facilitating a diverse range of global currency transactions. This not only reflects our global perspective but also demonstrates our leadership in the field of digital currency trading.

Regarding EMC, EMC has officially opened its deposit service on the CEEX platform on November 24th, 2023. This is a significant step, marking the beginning of collaboration between EMC and CEEX, providing all users with the opportunity to join this innovative project. In even better news, EMC will be listed for free trading on the CEEX platform on December 24th this year. As part of this, we are running a special airdrop event, starting from this point and running until December 24th. In this event, users need to recharge USDT on Arbitrum and complete the KYC process. At the end of the event, CEEX will take a snapshot of all the users who have recharged on Arbitrum. I strongly suggest users not to miss this opportunity.

Q7: Alex, can you share some as special announcement of EMC？

Alex: We’ve signed a strategic partnership with exaBITS, and I want to share how this partnership works. ExaBITS is a GPU cloud service provider based in North America, with a highly successful history of providing competitive and effective GPU cloud computing solutions. Despite their success, they also recognize the challenge of idle computing power. So, how we work with exaBITS is that they help connect their idling GPUs into the EMC network. The network optimizes and runs AI tasks automatically on exaBITS’ GPU servers, and in exchange, both the GPU and exaBITS servers receive rewards from processing the AI tasks routed through EMC networks. This helps them optimize their unutilized or idling GPU computing power. One key example is connecting and adding community power. EMC customers can apply for proof of computing power through EMC’s network, working on exaBITS.

We already have large commercial customers leveraging this network to deploy proof of computing power server clusters, such as H100 for running large model training. Eventually, this process smoothes out the entire computing power into real production, and we help them deploy GPU cluster services with exaBITS. This opens up a golden opportunity for us to collaborate with GPU service providers and IDC providers around the world who plan to enter the GPU renting space.

We are excited to announce the EMC Partner Network (EPN), with key members joining exaBITS and key partners from Hong Kong, Australia, and New Zealand. They have a strong operating background in IDC hosting and are willing to invest in GPU servers. The unique advantage of EPN is access to global supply chains. The original goal of EMC networks is to optimize and utilize GPU cards, potentially millions of them, to create productive GPU servers and hosting services. While they may not be as powerful as H100 or H800, they run inferences well and leverage the technologies on the EMC network.

Additionally, we have the RWA platform that allows any GPU service providers to leverage this platform and offer RWA services for their GPU clusters. This financial service is crucial in building up the GPU server network. This brings us to the next important topic shared with Hashmeta, where Terrence, the CEO of Hashmeta, will join us to build the application layer of AI tools and services. We’ll let Terrence share on the strengths of leveraging Hashmeta Care networks and how we are going to enable AI applications to support them.

Terrence: Just a quick overview for those who may not have heard about Hashmeta. We have been in the industry for more than 12 years, primarily working on solutions and applications for creators. Our focus has been on building tools to connect brands, and we’ve observed a current trend of more than 5000 AI apps, with the majority targeting content creators. We see this as a key success formula, especially for web3. Many solutions are geared towards this user group, and we have already launched our own tools.

We are going to work closely with the EMC team to integrate these tools into the overall infrastructure. Some of the software has already been tested, and we plan to invite more developers, especially those working on the AI side, to create apps on the platform. This collaboration will allow us to go to market together with what we have built over the years. Currently, we have more than 8 million influencers on the platforms, along with access to mobile app developers working on AI apps. The trends and data from more than 5000 apps we have been following can provide valuable insights for the community to develop closer ties by leveraging what we have in order to go to market together with the EMC infrastructure.

As evident in ChatGPT, the growth of AI software in terms of market penetration and adoption is fast, and coupled with influencers, we believe that this speed will quadruple when it comes to going to market. At Hashmeta, we are providing the platform and ecosystem to allow AI developers to leverage EMC computing power and deploy apps on our platforms, enabling them to go to market instantaneously.

Alex: To summarize for our audience, what you’re hearing is a very exciting opportunity. If you’re a startup trying to build something for this market, attempting to create AI models, your starting journey could involve leveraging EMC networks for training models, which is a cost-effective approach. You may also secure funding from EMC or receive grants from the EMC Foundation in the future to assist in building your AI models. Afterward, you can test your models with the EMC community.

In this exciting era, AI may not only come in the form of applications but also as tools or well-integrated API services that can be incorporated into other apps. This is exemplified by our collaboration with Hashmeta today. Following testing, you can launch your apps to the market, leveraging one of the most extensive inference platforms. Our target is to drive the first wave of PUGC (Participatory User-Generated Content) AI adopters, aiming for one million AI adopters within the next year. While this is an aggressive target, we believe that, together, we can achieve it and provide access to the real-world web2 original ecosystem led by Hashmeta.