TonGPU

# About us **TonGPU -- A Layer 1 designed specifically for AI and DePin computing power** # TonGPU utilize the idle GPU/CPU computational resources of users for asynchronous AI training. We have 3 roles on TonGPU Network: computing power providers, renters, super nodes(stakers)\ \ **Computing power provision and rental** # ![Rent system](https://docs.tongpu.xyz/~gitbook/image?url=https%3A%2F%2F2468491113-files.gitbook.io%2F%7E%2Ffiles%2Fv0%2Fb%2Fgitbook-x-prod.appspot.com%2Fo%2Fspaces%252FKWJSi4q7IaVXiBFNKX3A%252Fuploads%252FXGbbo2fG90YtZ376eRgk%252Ftongpu-design.png%3Falt%3Dmedia%26token%3Db326ccc5-db3b-4fd6-924b-de6d2d0c3ff2&width=768&dpr=2&quality=100&sign=ab9874ae&sv=1 "Rent system") # **Our TonGPU L1 network includes three entities:** - Computing power providers - Computing power renters - Super nodes (stakers) # **We have two modes for renting computing power:** 1. **Direct Rental Mode**: This is equivalent to renting a physical machine, where the user has full remote access (we have already implemented this in the first version of our DApp). 2. **Task Submission Mode**: The user submits the data to be trained to the TonGPU network, and the platform allocates the most suitable and economical machines. TonGPU will automatically train the data asynchronously across different machines and return the final result. # **Computing Power Providers**: In the TonGPU network, all entities providing GPU/CPU computing power are called nodes. These nodes can be rented by users at any time for AI computations. We have integrated a significant portion of small and medium-sized cloud service providers, as well as idle GPU/CPU resources at home. This approach meets the needs of small teams and individual AI learners while also making full use of high-performance machines that are idle at home. # **Why does TonGPU need an L1 blockchain?** # [![Design Frame of TonGPU Network](https://docs.tongpu.xyz/~gitbook/image?url=https%3A%2F%2F2468491113-files.gitbook.io%2F%7E%2Ffiles%2Fv0%2Fb%2Fgitbook-x-prod.appspot.com%2Fo%2Fspaces%252FKWJSi4q7IaVXiBFNKX3A%252Fuploads%252F5uT2DJRkFLDGpE3lvQzd%252Ftongpu-design-3.png%3Falt%3Dmedia%26token%3De25723ad-8738-4b2c-9b86-3cf9f557faed&width=768&dpr=2&quality=100&sign=fbf8c362&sv=1 "Design Frame of TonGPU Network")](https://docs.tongpu.xyz/~gitbook/image?url=https%3A%2F%2F2468491113-files.gitbook.io%2F%7E%2Ffiles%2Fv0%2Fb%2Fgitbook-x-prod.appspot.com%2Fo%2Fspaces%252FKWJSi4q7IaVXiBFNKX3A%252Fuploads%252F5uT2DJRkFLDGpE3lvQzd%252Ftongpu-design-3.png%3Falt%3Dmedia%26token%3De25723ad-8738-4b2c-9b86-3cf9f557faed&width=768&dpr=2&quality=100&sign=fbf8c362&sv=1 "Design Frame of TonGPU Network") # 1. **Avoiding Centralization**: - Centralized cloud service providers have too much control. They can arbitrarily decide which machines should be rented and which should not, as well as determine the configuration needed for AI training tasks to optimize economic efficiency. # 2. **Unified Decision-Making**: - Our vision is to transfer these processes to the TonGPU blockchain, allowing all nodes to collectively select the best solution. - For example, determining the conditions a node must meet to be selected, and how to allocate machines when a customer rents one. # 3. **Optimizing Resource Utilization**: - The blockchain enables efficient and fair allocation of computing power based on real-time demand and availability. - This ensures that high-performance machines, even those idle at home, are utilized effectively, benefiting both providers and renters. ## $TGPU Token $TGPU is the only utility governance token for the TonGPU project. It forms the basis of the aforementioned node reward and punishment system and is a prerequisite for becoming a node. Additionally, we are in deep collaboration with NULS, using their cross-chain bridge protocol to bring our product to more blockchains. # [![tokenomics](https://tongpu.xyz/images/token.png "tokenomics")](https://tongpu.xyz/images/token.png "tokenomics") ## Roadmap ### Alpha test(now) - Computing power rental - Direct rental mode - Mounting idle machines - TonGPU L1 Blockchain RPC Test net ### Beta test - TonGPU network blockchain Explorer - Development of the task submission mode - Enable cross-chain and integrate into the Ton ecosystem to bring our product to multi-chain users. ## Links - Website https://tongpu.xyz - X\Twitter https://x.com/TonGPU_Labs - Docs https://docs.tongpu.xyz/ - Telegram https://t.me/TonGPULabs - Medium https://medium.com/@tongpu

Sale type
Liquidity Bootstrapping Pool
Fjord
Launch partner
Fjord
LP LockNone
Raise typePublic
Post SaleRedemption Delay
TGPU
Ethereum
TonGPU
# About us **TonGPU -- A Layer 1 designed specifically for AI and DePin computing power** # TonGPU utilize the idle GPU/CPU computational resources of users for asynchronous AI training. We have 3 roles on TonGPU Network: computing power providers, renters, super nodes(stakers)\ \ **Computing power provision and rental** # ![Rent system](https://docs.tongpu.xyz/~gitbook/image?url=https%3A%2F%2F2468491113-files.gitbook.io%2F%7E%2Ffiles%2Fv0%2Fb%2Fgitbook-x-prod.appspot.com%2Fo%2Fspaces%252FKWJSi4q7IaVXiBFNKX3A%252Fuploads%252FXGbbo2fG90YtZ376eRgk%252Ftongpu-design.png%3Falt%3Dmedia%26token%3Db326ccc5-db3b-4fd6-924b-de6d2d0c3ff2&width=768&dpr=2&quality=100&sign=ab9874ae&sv=1 "Rent system") # **Our TonGPU L1 network includes three entities:** - Computing power providers - Computing power renters - Super nodes (stakers) # **We have two modes for renting computing power:** 1. **Direct Rental Mode**: This is equivalent to renting a physical machine, where the user has full remote access (we have already implemented this in the first version of our DApp). 2. **Task Submission Mode**: The user submits the data to be trained to the TonGPU network, and the platform allocates the most suitable and economical machines. TonGPU will automatically train the data asynchronously across different machines and return the final result. # **Computing Power Providers**: In the TonGPU network, all entities providing GPU/CPU computing power are called nodes. These nodes can be rented by users at any time for AI computations. We have integrated a significant portion of small and medium-sized cloud service providers, as well as idle GPU/CPU resources at home. This approach meets the needs of small teams and individual AI learners while also making full use of high-performance machines that are idle at home. # **Why does TonGPU need an L1 blockchain?** # [![Design Frame of TonGPU Network](https://docs.tongpu.xyz/~gitbook/image?url=https%3A%2F%2F2468491113-files.gitbook.io%2F%7E%2Ffiles%2Fv0%2Fb%2Fgitbook-x-prod.appspot.com%2Fo%2Fspaces%252FKWJSi4q7IaVXiBFNKX3A%252Fuploads%252F5uT2DJRkFLDGpE3lvQzd%252Ftongpu-design-3.png%3Falt%3Dmedia%26token%3De25723ad-8738-4b2c-9b86-3cf9f557faed&width=768&dpr=2&quality=100&sign=fbf8c362&sv=1 "Design Frame of TonGPU Network")](https://docs.tongpu.xyz/~gitbook/image?url=https%3A%2F%2F2468491113-files.gitbook.io%2F%7E%2Ffiles%2Fv0%2Fb%2Fgitbook-x-prod.appspot.com%2Fo%2Fspaces%252FKWJSi4q7IaVXiBFNKX3A%252Fuploads%252F5uT2DJRkFLDGpE3lvQzd%252Ftongpu-design-3.png%3Falt%3Dmedia%26token%3De25723ad-8738-4b2c-9b86-3cf9f557faed&width=768&dpr=2&quality=100&sign=fbf8c362&sv=1 "Design Frame of TonGPU Network") # 1. **Avoiding Centralization**: - Centralized cloud service providers have too much control. They can arbitrarily decide which machines should be rented and which should not, as well as determine the configuration needed for AI training tasks to optimize economic efficiency. # 2. **Unified Decision-Making**: - Our vision is to transfer these processes to the TonGPU blockchain, allowing all nodes to collectively select the best solution. - For example, determining the conditions a node must meet to be selected, and how to allocate machines when a customer rents one. # 3. **Optimizing Resource Utilization**: - The blockchain enables efficient and fair allocation of computing power based on real-time demand and availability. - This ensures that high-performance machines, even those idle at home, are utilized effectively, benefiting both providers and renters. ## $TGPU Token $TGPU is the only utility governance token for the TonGPU project. It forms the basis of the aforementioned node reward and punishment system and is a prerequisite for becoming a node. Additionally, we are in deep collaboration with NULS, using their cross-chain bridge protocol to bring our product to more blockchains. # [![tokenomics](https://tongpu.xyz/images/token.png "tokenomics")](https://tongpu.xyz/images/token.png "tokenomics") ## Roadmap ### Alpha test(now) - Computing power rental - Direct rental mode - Mounting idle machines - TonGPU L1 Blockchain RPC Test net ### Beta test - TonGPU network blockchain Explorer - Development of the task submission mode - Enable cross-chain and integrate into the Ton ecosystem to bring our product to multi-chain users. ## Links - Website https://tongpu.xyz - X\Twitter https://x.com/TonGPU_Labs - Docs https://docs.tongpu.xyz/ - Telegram https://t.me/TonGPULabs - Medium https://medium.com/@tongpu
LP Lock
None
Raise Type
Public
Post Sale
Redemption Delay
Completed
Current Price
0.0₄754
Tokens Sold
15.8%
Market Cap
225.2K
FDV
1.877M
Funds Raised
196.2K
Jul 11, 20:00:00
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About Project
About us
TonGPU -- A Layer 1 designed specifically for AI and DePin computing power
TonGPU utilize the idle GPU/CPU computational resources of users for asynchronous AI training. We have 3 roles on TonGPU Network: computing power providers, renters, super nodes(stakers)

Computing power provision and rental
Rent system
Our TonGPU L1 network includes three entities:
  • Computing power providers
  • Computing power renters
  • Super nodes (stakers)
We have two modes for renting computing power:
  1. Direct Rental Mode: This is equivalent to renting a physical machine, where the user has full remote access (we have already implemented this in the first version of our DApp).
  2. Task Submission Mode: The user submits the data to be trained to the TonGPU network, and the platform allocates the most suitable and economical machines. TonGPU will automatically train the data asynchronously across different machines and return the final result.
Computing Power Providers: In the TonGPU network, all entities providing GPU/CPU computing power are called nodes. These nodes can be rented by users at any time for AI computations. We have integrated a significant portion of small and medium-sized cloud service providers, as well as idle GPU/CPU resources at home. This approach meets the needs of small teams and individual AI learners while also making full use of high-performance machines that are idle at home.
Why does TonGPU need an L1 blockchain?
Design Frame of TonGPU Network
  1. Avoiding Centralization:
    • Centralized cloud service providers have too much control. They can arbitrarily decide which machines should be rented and which should not, as well as determine the configuration needed for AI training tasks to optimize economic efficiency.
  2. Unified Decision-Making:
    • Our vision is to transfer these processes to the TonGPU blockchain, allowing all nodes to collectively select the best solution.
    • For example, determining the conditions a node must meet to be selected, and how to allocate machines when a customer rents one.
  3. Optimizing Resource Utilization:
    • The blockchain enables efficient and fair allocation of computing power based on real-time demand and availability.
    • This ensures that high-performance machines, even those idle at home, are utilized effectively, benefiting both providers and renters.
$TGPU Token
$TGPU is the only utility governance token for the TonGPU project. It forms the basis of the aforementioned node reward and punishment system and is a prerequisite for becoming a node. Additionally, we are in deep collaboration with NULS, using their cross-chain bridge protocol to bring our product to more blockchains.
tokenomics
Roadmap
Alpha test(now)
  • Computing power rental
  • Direct rental mode
  • Mounting idle machines
  • TonGPU L1 Blockchain RPC Test net
Beta test
  • TonGPU network blockchain Explorer
  • Development of the task submission mode
  • Enable cross-chain and integrate into the Ton ecosystem to bring our product to multi-chain users.
Links
Sale Details
Price Discovery
Start Price Per Token
0.0₇15 USDTUSDT
Start Weights:
90.0%TGPU
10.0%USDT
End Weights:
1.0%TGPU
99.0%USDT
Max Raise(Hard Cap)
0 USDTUSDT
Sale Network:
Ethereum
Raise Type
public
Token Type
ERC-20
Learn more about sale types and financial data in our Fjord Docs
Public Sale Duration
The Public Sale may start earlier if the previous stages finish ahead of schedule. However, it will always end at the set final date and time.
Expected Start Date:
Jul 8, 2024, 12:00 PM UTC
Duration
3 days 8 hours
End Date
Jul 11, 2024, 8:00 PM UTC
Post Sale Details
Token Vesting
No Token Vesting
LP Lock
Locks the sale’s liquidity after the sale to guarantee ongoing trading and prevent sudden withdrawals.
No LP Lock
Token Redemption
Delay from Sale End
1 hour
Redemption Opens
Thu 11, 2024, 9:00 PM UTC
Previous Investment Rounds
Review key information from prior fundraising rounds, including funds raised, valuations, TGE percentages, and vesting periods, to gain a clear financial snapshot of the project's journey. Please verify all information independently and do your own research (DYOR).
No Previous Investment Round Details
FAQ
Connect your wallet, review the sale details, then choose the token and amount you want to contribute. If approval is required, approve the spending limit first, then confirm the purchase in your wallet.
Sale tokens are normally claimed after the sale closes. If the project configured a claim delay or token vesting, the sale page will show the timing and claim options.