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Theta EdgeCloud: Ushering in a new era of AI Computing.
February 26, 2024
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The Theta engineering team has been heads down for the greater part of this past year developing the Theta EdgeCloud, one of the most advanced decentralized software platforms in edge computing. Its mission is to provide developers, researchers and enterprises large and small with unlimited access to GPU processing power for any AI or video task, at the most optimal cost. This approach brings the best of Cloud computing to a decentralized system, powered by the Theta Edge Network.

This blog shares a sneak peak of the upcoming EdgeCloud phase 1 estimated to launch on May 1, 2024. The foundation supporting EdgeCloud’s AI computing infrastructure has been in 🛠️ development for many years.

  1. The Theta Edge Network launched in 2021 with Mainnet 3.0 focused on GPU intensive video processing required for encoding, transcoding and distribution. Today, Theta’s global network of nearly 10,000 active edge nodes run by community members comprises one of the largest clusters of distributed GPU computing power in the world. High performance GPUs (~1000 nodes) deliver 36,392 TFLOPS, Medium tier GPUs (~2000 nodes) deliver 28,145 TFLOPS and Low end GPUs (~7000 nodes) deliver an additional 13,002 TFLOPS, for a total approx 77,538 TFLOPS or about 80 PetaFLOPS, roughly equivalent to 250 NVIDIA A100s, always available.

This vast processing power along with Theta’s access to an additional 800+ PetaFLOPS through our strategic cloud partners can deliver upwards of 2500 equivalent NVIDIA A100s, enough to train and serve some of the largest language models (LLMs). GenAI text-to-image, text-to-video models such as Stable diffusion and Llama2 and cutting edge new text-to-3D models can easily run on EdgeCloud’s hybrid cloud decentralized architecture.

2. Access to distributed GPU processing power in itself is not sufficient to transform the AI computing landscape. In 2021, Theta first filed its patent for the “Edge Computing Platform supported by Smart Contract enabled blockchain network”. This set in motion the capability to build a next generation hybrid computing architecture, where computation tasks are registered on a blockchain, and assigned to an edge computing node within a decentralized computing network through a secure peer-to-peer connection. Further, the solution may be verified on-chain by a smart contract and a token reward may be given to the participating node.

This patent was granted in September 2023 while Theta core engineering team was already building the core foundation of EdgeCloud.

3. Lastly, the Theta team has always believed in building technology to solve immediate customer and market needs. As early as 2022, Theta began working with a number of AI partners and experts in natural language processing (NLP) and machine learning. This led to collaboration with Lavita.AI, FedML and most recently with Google Cloud developing an ‘AI Model Pipeline for Video-to-text Applications” with applications in semantic video search, esports game highlight video generation and many other AI applications.

The Theta team is thrilled to share a sneak peek into EdgeCloud’s first release this Spring.

In the screenshots below, AI developers can easily select and deploy popular models such as Stable diffusion, Llama 2 and many other out-of-the box models with just a few clicks and build their AI-powered apps on top. This library of templates can be expanded over time to capture all of the most popular AI models including today’s chat bots, generative AI and any new models in the future. AI developers can use familiar tools including Jupyter notebook to launch their AI development.

In a second release in the Spring-Summer, Theta will unveil its upgrade to the Edge node software with Elite+ Booster feature for EENs that have the full 500,000 TFUEL staked. This enables node operators to participate and share in the rewards from all EdgeCloud AI compute tasks.

Moving into H2 2024, advanced AI developers will be able to manage their entire AI pipeline development from prototyping using Jupyter notebook to training AI models including hyperparameter tuning and neural architecture search as well as model fine-tuning. These models can then be easily deployed and served across EdgeCloud’s network of GPUs — optimized, immediately accessible and scalable. These can eventually be run on ray clusters or raw machines, for AI experts looking for even more control.

We are excited to share updates along the way as we push toward the Phase I release of EdgeCloud, join us on Discord and Twitter for further discussions.

 
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US Dept of Commerce to publish GDP data on blockchain

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While it would be possible to procure the data from third parties, it is always ideal to get it from the source to ensure its accuracy. Getting data directly from government sources makes it tamperproof, provided the original data feed has not been manipulated before it reaches the oracle.

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List Of Cardano Wallets

Well-known and actively maintained wallets supporting the Cardano Blockchain are EternlTyphonVesprYoroiLaceADAliteNuFiDaedalusGeroLodeWalletCoin WalletADAWalletAtomicGem WalletTrust and Exodus.

Note that in case of issues, usually only queries relating to official wallets can be answered in Cardano groups across telegram/forum. You may need to consult with specific wallet support teams for third party wallets.

Tips

  • Its is important to ensure that you're in sole control of your wallet keys, and that the keys used can be restored via alternate wallet providers if a particular one is non-functional. Hence, put extra attention to Non-Custodial and Compatibility fields.
  • The score column below is strictly a count of checks against each feature listed, the impact of specific feature (and thus, score) is up to reader's descretion.
  • The table represents current state on mainnet network, any future roadmap activities are out-of-scope.
  • Info on individual fields can be found towards the end of the page.
  • Any field that shows partial support (eg: open-source field) does not score the point for that field.

Brief info on fields above

  • Non-Custodial: are wallets where payment as well as stake keys are not shared/reused by wallet provider, and funds can be transparently verified on explorer
  • Compatibility: If the wallet mnemonics/keys can easily (for non-technical user) be used outside of specific wallet provider in major other wallets
  • Stake Control: Freedom to elect stake pool for user to delegate to (in user-friendly way)
  • Transparent Support: Easy approachability of a public interactive - eg: discord/telegram - group (with non-anonymous users) who can help out with support. Twitter/Email supports do not count for a check
  • Voting: Ability to participate in Catalyst voting process
  • Hardware Wallet: Integration with atleast Ledger Nano device
  • Native Assets: Ability to view native assets that belong to wallet
  • dApp Integration: Ability to interact with dApps
  • Stability: represents whether there have been large number of users reporting missing tokens/balance due to wallet backend being out of sync
  • Testnets Support: Ability to easily (for end-user) open wallets in atleast one of the cardano testnet networks
  • Custom Backend Support: Ability to elect a custom backend URL for selecting alternate way to submit transactions transactions created on client machines
  • Single/Multi Address Mode: Ability to use/import Single as well as Multiple Address modes for a wallet
  • Mobile App: Availability on atleast one of the popular mobile platforms
  • Desktop (app,extension,web): Ways to open wallet app on desktop PCs
  • Open Source: Whether the complete wallet (all components) are open source and can be run independently.

Source

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XRP: r9pid4yrQgs6XSFWhMZ8NkxW3gkydWNyQX
XLM: GDMJF2OCHN3NNNX4T4F6POPBTXK23GTNSNQWUMIVKESTHMQM7XDYAIZT
XDC: xdcc2C02203C4f91375889d7AfADB09E207Edf809A6

 

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