We’re excited to welcome all new members to the ParallelAI $PAI community! 👋
The $PAI token successfully launched earlier today.
Going public with the $PAI token is one of many major milestones in the life of $PAI. However, there has been much preparation, hardwork, ideation and building for several months prior to reaching this stage. Over the course of the next weeks and months the ParallelAI team is excited to share significant updates and access into the great tech we have been building.
ParallelAI will transform the landscape for computing and AI through allowing users to write simple, high-level code, whilst ParallelAI handles all the complex parallel computing automatically across GPUs and CPUs. We look forward to sharing more information over the coming days.
Be sure to follow us on our social channels for the latest news and updates:
X Account: https://x.com/ParallelAIx
Telegram Announcements: https://t.me/parallelAIann
For more details on the $PAI project, visit our website and Gitbook: (linked below):
Website: https://www.parallelai.tech/
Gitbook: https://parallel-ai.gitbook.io/parallel-ai
$PAI Team
The $PAI token successfully launched earlier today.
Going public with the $PAI token is one of many major milestones in the life of $PAI. However, there has been much preparation, hardwork, ideation and building for several months prior to reaching this stage. Over the course of the next weeks and months the ParallelAI team is excited to share significant updates and access into the great tech we have been building.
ParallelAI will transform the landscape for computing and AI through allowing users to write simple, high-level code, whilst ParallelAI handles all the complex parallel computing automatically across GPUs and CPUs. We look forward to sharing more information over the coming days.
Be sure to follow us on our social channels for the latest news and updates:
X Account: https://x.com/ParallelAIx
Telegram Announcements: https://t.me/parallelAIann
For more details on the $PAI project, visit our website and Gitbook: (linked below):
Website: https://www.parallelai.tech/
Gitbook: https://parallel-ai.gitbook.io/parallel-ai
$PAI Team
X (formerly Twitter)
ParallelAI (@ParallelAIx) on X
Unleashing The Power Of Parallel Processing To Slash Computation Times For AI Developers By Up To 20x.
https://t.co/3Z9RdmUtr7
https://t.co/3Z9RdmUtr7
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We’re delighted to introduce our CEO, Abdul Basith, to the $PAI community.
With a background in AI, natural language processing, quantum computing and physics, Abdul has spearheaded AI projects in the EdTech and Healthcare space. Read his full CV here:
https://www.linkedin.com/in/abdul-basith-145714114/
Stay tuned for future updates in which Basith will be engaging directly with our community to share the ParallelAI vision. More details will be shared soon.
$PAI #ParallelAI
With a background in AI, natural language processing, quantum computing and physics, Abdul has spearheaded AI projects in the EdTech and Healthcare space. Read his full CV here:
https://www.linkedin.com/in/abdul-basith-145714114/
Stay tuned for future updates in which Basith will be engaging directly with our community to share the ParallelAI vision. More details will be shared soon.
$PAI #ParallelAI
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Milestone Achieved! 1000 holders breached in under 48 hours 🎉
Excited to see where the next few weeks take us.
https://x.com/ParallelAIx/status/1840081091534696499?t=9RWd3uhmeUdcxtcEjBbKwA&s=19
Excited to see where the next few weeks take us.
https://x.com/ParallelAIx/status/1840081091534696499?t=9RWd3uhmeUdcxtcEjBbKwA&s=19
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$PAI is now listed on Coingecko. 🐸
https://x.com/ParallelAIx/status/1840372203327517025?t=6ToLuJIcd0ulcPhvwXWDfw&s=19
https://x.com/ParallelAIx/status/1840372203327517025?t=6ToLuJIcd0ulcPhvwXWDfw&s=19
Get ready for an AMA with ParallelAI CEO, Basith, this Thursday 3rd October at 8pm UTC, hosted by TCHcommunity
This will be a chance to hear more about our vision for democratizing and decentralizing parallel processing for AI developers.
Stay tuned as we’ll be dropping the link to participate in here when the time comes.
https://x.com/ParallelAIx/status/1841217967389909240?t=ehfRgSpM7kza5Dy6YvesAQ&s=19
This will be a chance to hear more about our vision for democratizing and decentralizing parallel processing for AI developers.
Stay tuned as we’ll be dropping the link to participate in here when the time comes.
https://x.com/ParallelAIx/status/1841217967389909240?t=ehfRgSpM7kza5Dy6YvesAQ&s=19
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We’re excited to share a short video from ParallelAI founder, Basith, so that the $PAI community can get to know him better and hear more about his vision for the project.
Have a watch now 👇
Don't forget, we have an exciting AMA scheduled for tomorrow 8pm UTC. Don't miss this!
https://x.com/ParallelAIx/status/1841532849654268190
Have a watch now 👇
Don't forget, we have an exciting AMA scheduled for tomorrow 8pm UTC. Don't miss this!
https://x.com/ParallelAIx/status/1841532849654268190
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Our new partnership with NeurochainAI
is ready to announce!
NeurochainAI’s GPUs will be joining our decentralized compute power ecosystem, and we’ll be applying our Optimized Parallel Code Writer to maximize their efficiency for AI developers.
More details in this 🧵
https://x.com/ParallelAIx/status/1841780387875635689
is ready to announce!
NeurochainAI’s GPUs will be joining our decentralized compute power ecosystem, and we’ll be applying our Optimized Parallel Code Writer to maximize their efficiency for AI developers.
More details in this 🧵
https://x.com/ParallelAIx/status/1841780387875635689
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A friendly reminder that at 8pm UTC today we'll be having our first community AMA which is ParallelAI Intro on X Spaces.
This will be a chance to hear more about our vision for democratizing and decentralizing parallel processing for AI developers.
Stay tuned as we will share the link here.
⏰ Set a reminder using the link below.
https://x.com/i/spaces/1OdJrXYQEWnKX
This will be a chance to hear more about our vision for democratizing and decentralizing parallel processing for AI developers.
Stay tuned as we will share the link here.
⏰ Set a reminder using the link below.
https://x.com/i/spaces/1OdJrXYQEWnKX
We’re delighted to announce a new partnership with Aethir Cloud 🤝
We’ll be integrating Aethir’s decentralized GPU capacity into the execution layer of our Optimized Parallel Code Writer.
About Aethir ☁️
Aethir employs enterprise grade GPUs optimized for the most intensive AI use cases. Their accelerated computations enable real-time processing and analysis.
Aethir will be one of ParallelAI’s decentralized GPU partners, providing some of the compute power required to execute the parallel code we create for our AI clients. This helps us deliver end-to-end decentralization for our parallel processing solution.
Meanwhile, ParallelAI’s Optimized Parallel Code Writer will help improve the processing speeds and efficiency that our AI clients can achieve with Aethir’s GPUs.
This partnership brings us one step closer to our vision for a fully decentralized parallel processing solution and making $PAI the universal currency for compute power procurement.
✅ https://x.com/parallelaix/status/1842173186110292021?s=46&t=T7jBG_AvrN2ghmmSWDH1Ew
We’ll be integrating Aethir’s decentralized GPU capacity into the execution layer of our Optimized Parallel Code Writer.
About Aethir ☁️
Aethir employs enterprise grade GPUs optimized for the most intensive AI use cases. Their accelerated computations enable real-time processing and analysis.
Aethir will be one of ParallelAI’s decentralized GPU partners, providing some of the compute power required to execute the parallel code we create for our AI clients. This helps us deliver end-to-end decentralization for our parallel processing solution.
Meanwhile, ParallelAI’s Optimized Parallel Code Writer will help improve the processing speeds and efficiency that our AI clients can achieve with Aethir’s GPUs.
This partnership brings us one step closer to our vision for a fully decentralized parallel processing solution and making $PAI the universal currency for compute power procurement.
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Hello $PAI Community,
We're thrilled to announce a partnership with Marlin Protocol that will create a step-change in high-speed, private compute power for AI 🤝
Our parallel processing tech brings the speed and MarlinProtocol's TEE & ZKP tech brings the privacy.
More details in this 🧵
https://x.com/ParallelAIx/status/1843260011201569205
We're thrilled to announce a partnership with Marlin Protocol that will create a step-change in high-speed, private compute power for AI 🤝
Our parallel processing tech brings the speed and MarlinProtocol's TEE & ZKP tech brings the privacy.
More details in this 🧵
https://x.com/ParallelAIx/status/1843260011201569205
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ParallelAIx unleashing the power of parallel processing, is coming to #MEXCKickstarter 🚀
🗳Vote with $MX to share massive airdrops
📈 $PAI/USDT Trading: 2024-10-08 11:00 (UTC)
Details: https://mexc.com/support/articles/17827791519008
https://x.com/Mexc_Listings/status/1843284264416330140
Stay tuned guys!!
🗳Vote with $MX to share massive airdrops
📈 $PAI/USDT Trading: 2024-10-08 11:00 (UTC)
Details: https://mexc.com/support/articles/17827791519008
https://x.com/Mexc_Listings/status/1843284264416330140
Stay tuned guys!!
We are thrilled to announce our first official CEX listing!
MEXC will list $PAI October 8th at 11am UTC
Trading Pair: $PAI/USDT
Details: https://www.mexc.com/support/articles/17827791519008
Stay tuned!
https://x.com/ParallelAIx/status/1843303381152207259?t=F03JirJlupxWQyWMzjJuog&s=19
MEXC will list $PAI October 8th at 11am UTC
Trading Pair: $PAI/USDT
Details: https://www.mexc.com/support/articles/17827791519008
Stay tuned!
https://x.com/ParallelAIx/status/1843303381152207259?t=F03JirJlupxWQyWMzjJuog&s=19
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Dear PAI Community,
$PAI is now trading on MEXC
With the conclusion of MEXC’s Kickstarter event, we are proud to announce that trading is now live on MEXC Official. Thank you to everyone that participated in the event and voted for PAI.
Trading Pair: PAI/USDT
Trading Link: https://mexc.com/exchange/PAI_USDT
Details: https://mexc.com/support/articles/17827791519008
https://x.com/ParallelAIx/status/1843609843581759680
$PAI is now trading on MEXC
With the conclusion of MEXC’s Kickstarter event, we are proud to announce that trading is now live on MEXC Official. Thank you to everyone that participated in the event and voted for PAI.
Trading Pair: PAI/USDT
Trading Link: https://mexc.com/exchange/PAI_USDT
Details: https://mexc.com/support/articles/17827791519008
https://x.com/ParallelAIx/status/1843609843581759680
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ParallelAI - Code Writer Platform
We are excited to share previews of our upcoming Code Writer Optimization Platform!
Here’s how it works:
Input Your Code: Simply upload your code into the platform. Whether you’re working with AI models, simulations, gaming logic, or video rendering, no need for manual parallelization, our platform takes care of that.
Automatic Parallelization & Optimization: The platform analyzes your code, parallelizes it across CPU/GPU cores, and provides detailed insights on performance gains. It highlights areas where your code is now more efficient and faster than before.
Select GPU Server: Access our decentralized GPU marketplace and select the best GPU server for your project. The platform provides real-time feedback on server performance, cost estimates, and resource availability, so you can choose the optimal compute environment for your needs.
Run & Scale: Once optimized, execute your code on the selected GPUs. The platform ensures smooth scaling across multiple GPUs, giving you the performance boost needed for demanding applications without any manual intervention.
We will be releasing a full Medium article in the next few days to provide an in-depth guide on how developers can use ParallelAI to effortlessly optimize and scale their code.
✅ https://x.com/ParallelAIx/status/1843699684046712999
We are excited to share previews of our upcoming Code Writer Optimization Platform!
Here’s how it works:
Input Your Code: Simply upload your code into the platform. Whether you’re working with AI models, simulations, gaming logic, or video rendering, no need for manual parallelization, our platform takes care of that.
Automatic Parallelization & Optimization: The platform analyzes your code, parallelizes it across CPU/GPU cores, and provides detailed insights on performance gains. It highlights areas where your code is now more efficient and faster than before.
Select GPU Server: Access our decentralized GPU marketplace and select the best GPU server for your project. The platform provides real-time feedback on server performance, cost estimates, and resource availability, so you can choose the optimal compute environment for your needs.
Run & Scale: Once optimized, execute your code on the selected GPUs. The platform ensures smooth scaling across multiple GPUs, giving you the performance boost needed for demanding applications without any manual intervention.
We will be releasing a full Medium article in the next few days to provide an in-depth guide on how developers can use ParallelAI to effortlessly optimize and scale their code.
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DEVELOPMENT UPDATE:
Introducing Parilix—a groundbreaking compute language designed for inherent parallelism and now integrated into the $PAI Ecosystem.
Our development team has been working tirelessly to introduce a new standard in parallel computing, transforming cutting-edge concepts into practical tools that bring optimized computing power to users and developers of all backgrounds. Parilix operates on the principle of interaction combinators, mapping code as a graph to seamlessly determine the most efficient execution path for any given GPU hardware configuration.
To showcase the potential of Parilix, we have focused on key algorithms essential to AI, data analysis, image rendering, and more, creating benchmark tests to illustrate the advantages of leveraging the ParallelAI platform. Over the next few weeks, we will release detailed benchmark reports to demonstrate how Parilix unlocks performance optimization through parallelization.
Today, we are excited to share the first of these benchmarks. We’ve executed the Mandelbrot set generation algorithm, a fundamental recursive problem, in both sequential C++ and its parallelized equivalent in Parilix. The results are impressive, Parilix achieved a 16x speedup on a set size of 12. All benchmarks were run on an Nvidia A100 GPU, offering a high-performance environment for both Parilix and C++.
The Mandelbrot set is significant in AI due to its recursive nature, which mirrors complex fractal-like patterns found in AI models, especially in areas like neural networks and generative algorithms. Its recursive computation is a perfect test for Parilix’s ability to parallelize tasks that benefit AI processes and modeling.
We will soon share a detailed analysis of these benchmarks in a Medium article, along with access to our dedicated GitHub repository, which will go public in the coming weeks.
https://x.com/ParallelAIx/status/1844109010968158482?t=X16k5adTPHuxGLLWgfhBcw&s=19
Introducing Parilix—a groundbreaking compute language designed for inherent parallelism and now integrated into the $PAI Ecosystem.
Our development team has been working tirelessly to introduce a new standard in parallel computing, transforming cutting-edge concepts into practical tools that bring optimized computing power to users and developers of all backgrounds. Parilix operates on the principle of interaction combinators, mapping code as a graph to seamlessly determine the most efficient execution path for any given GPU hardware configuration.
To showcase the potential of Parilix, we have focused on key algorithms essential to AI, data analysis, image rendering, and more, creating benchmark tests to illustrate the advantages of leveraging the ParallelAI platform. Over the next few weeks, we will release detailed benchmark reports to demonstrate how Parilix unlocks performance optimization through parallelization.
Today, we are excited to share the first of these benchmarks. We’ve executed the Mandelbrot set generation algorithm, a fundamental recursive problem, in both sequential C++ and its parallelized equivalent in Parilix. The results are impressive, Parilix achieved a 16x speedup on a set size of 12. All benchmarks were run on an Nvidia A100 GPU, offering a high-performance environment for both Parilix and C++.
The Mandelbrot set is significant in AI due to its recursive nature, which mirrors complex fractal-like patterns found in AI models, especially in areas like neural networks and generative algorithms. Its recursive computation is a perfect test for Parilix’s ability to parallelize tasks that benefit AI processes and modeling.
We will soon share a detailed analysis of these benchmarks in a Medium article, along with access to our dedicated GitHub repository, which will go public in the coming weeks.
https://x.com/ParallelAIx/status/1844109010968158482?t=X16k5adTPHuxGLLWgfhBcw&s=19
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Introducing Parilix Automated Code: Transformer (PACT)
Parilix is a cutting-edge language designed for inherent parallelism, leveraging recent advancements in computing through the use of interaction combinators. Unlike traditional approaches to parallelization, which often require deep expertise in specialized libraries like CUDA, Parilix provides a high-level programming alternative that is more accessible to a broader range of developers and builders.
Parilix offers an intuitive platform for coders to easily harness the power of parallel computing. Its simplicity and effectiveness make it an excellent tool for processing algorithms that can benefit from parallel execution. For new developers, Parilix opens up the opportunity to work with advanced, efficient code without needing a steep learning curve. Our development team is also continuously expanding the Parilix libraries, particularly for AI training, to maximize its impact across various use cases.
However, we understand that not all users will have the capacity to learn a new language from scratch. That’s where PACT comes in. PACT—the Parilix Automated Code Transformer—is our purpose-built AI designed to seamlessly convert traditional sequential code written in languages like C++ and Python into their optimized Parilix equivalents.
PACT performs deep analysis on input code, identifying areas for parallelization and optimization. It provides users with detailed feedback on improvements made, including time saved and performance gains. This approach enables users to take full advantage of parallel computing without needing to master the complexities of Parilix themselves.
To accelerate development, PACT is built on Sonnet 3.5, a proven LLM (large language model). Our team has fine-tuned this base model to enhance output accuracy and reliability. While PACT is already showing promising results, it is a platform with a long-term development roadmap, involving contributions from both our core team and the broader developer community. This collaboration will allow PACT to grow its reference material and optimize a wider range of input code over time.
We are working hard to prepare for open beta access for PACT in the near future. Our immediate focus is on feeding Parilix’s code libraries into the AI and ensuring it can interpret and output correct, bug-free code for foundational algorithms. Once the AI has been trained on a solid dataset and we have fine-tuned its parameters for accuracy, we plan to open beta access, inviting the community to help further enhance PACT.
$PAI Token will play a crucial role in this process, incentivizing developers to contribute to AI training and development. In return, contributors will be rewarded with $PAI tokens, creating a mutually beneficial ecosystem. This system will enable developers from all backgrounds to access powerful code optimization tools without needing to hire specialized teams or invest large amounts of money.
https://x.com/ParallelAIx/status/1844707206174007668?t=SpeYjdKm21VqCCZjJMUOXw&s=19
Parilix is a cutting-edge language designed for inherent parallelism, leveraging recent advancements in computing through the use of interaction combinators. Unlike traditional approaches to parallelization, which often require deep expertise in specialized libraries like CUDA, Parilix provides a high-level programming alternative that is more accessible to a broader range of developers and builders.
Parilix offers an intuitive platform for coders to easily harness the power of parallel computing. Its simplicity and effectiveness make it an excellent tool for processing algorithms that can benefit from parallel execution. For new developers, Parilix opens up the opportunity to work with advanced, efficient code without needing a steep learning curve. Our development team is also continuously expanding the Parilix libraries, particularly for AI training, to maximize its impact across various use cases.
However, we understand that not all users will have the capacity to learn a new language from scratch. That’s where PACT comes in. PACT—the Parilix Automated Code Transformer—is our purpose-built AI designed to seamlessly convert traditional sequential code written in languages like C++ and Python into their optimized Parilix equivalents.
PACT performs deep analysis on input code, identifying areas for parallelization and optimization. It provides users with detailed feedback on improvements made, including time saved and performance gains. This approach enables users to take full advantage of parallel computing without needing to master the complexities of Parilix themselves.
To accelerate development, PACT is built on Sonnet 3.5, a proven LLM (large language model). Our team has fine-tuned this base model to enhance output accuracy and reliability. While PACT is already showing promising results, it is a platform with a long-term development roadmap, involving contributions from both our core team and the broader developer community. This collaboration will allow PACT to grow its reference material and optimize a wider range of input code over time.
We are working hard to prepare for open beta access for PACT in the near future. Our immediate focus is on feeding Parilix’s code libraries into the AI and ensuring it can interpret and output correct, bug-free code for foundational algorithms. Once the AI has been trained on a solid dataset and we have fine-tuned its parameters for accuracy, we plan to open beta access, inviting the community to help further enhance PACT.
$PAI Token will play a crucial role in this process, incentivizing developers to contribute to AI training and development. In return, contributors will be rewarded with $PAI tokens, creating a mutually beneficial ecosystem. This system will enable developers from all backgrounds to access powerful code optimization tools without needing to hire specialized teams or invest large amounts of money.
https://x.com/ParallelAIx/status/1844707206174007668?t=SpeYjdKm21VqCCZjJMUOXw&s=19
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Exciting news ParallelAI community! $PAI is now listed on CMC
https://coinmarketcap.com/currencies/parallelai/
Make sure to follow the link and hit the star to add PAI to your watchlist!
https://x.com/ParallelAIx/status/1845764351644279064
https://coinmarketcap.com/currencies/parallelai/
Make sure to follow the link and hit the star to add PAI to your watchlist!
https://x.com/ParallelAIx/status/1845764351644279064
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Milestone Alert!
The ParallelAI community is growing strong, now with over 2,000 holders! 🚀
Exciting to see this growth reflected on-chain. Stay tuned for more updates!
https://x.com/ParallelAIx/status/1846169052189794444
The ParallelAI community is growing strong, now with over 2,000 holders! 🚀
Exciting to see this growth reflected on-chain. Stay tuned for more updates!
https://x.com/ParallelAIx/status/1846169052189794444