Top Tweets for #VRAMNetwork

about 12 hours ago

@vram_network token model hits hard: 21M fixed supply. 10-min emissions with halvings. Miner + validator rewards. Clear & predictable. Built for sustainability, not endless inflation. This is how strong tokenomics look. #VRAMNetwork #DePIN

Omar 🐬

@omarchowdhury56

1 day ago

Understanding the VRAM Token Model @vram_network follows a fixed supply emission model designed to reward miners and validators while keeping token issuance predictable. Key Parameters • Total Supply: 21,000,000 VRAM (hard cap) • Reward Window: 10 minutes per window (144 windows every day) • Initial Emission: 70 VRAM per window • Halving Points: Rewards are reduced when 7 million and 10.5 million VRAM have been issued • Validator Entry: Uses a burn based bonding curve mechanism • Validator Rewards: Distributed proportionally each window • TGE Pre Mint: 6.3 million VRAM allocated for the team, liquidity, airdrops, and investors How the Emission System Works VRAM distributes new tokens every 10 minutes. At the start, each reward window releases 70 VRAM. This continues until the network reaches the first issuance milestone of 7 million VRAM. Once 7 million VRAM have been issued, the reward rate is reduced through a halving event. A second halving occurs after 10.5 million VRAM have been issued. This mechanism gradually slows the creation of new tokens over time. Why Halving Matters Halving reduces the rate at which new VRAM enters circulation. As emissions decrease, token supply growth becomes slower, which can help support long-term network sustainability while continuing to reward participants. Validator Participation Validators play an important role in securing and verifying network activity. Entry into the validator set is based on a burn-based bonding curve, creating an economic commitment for participation. Validator rewards are distributed every reward window and are proportional to validator performance and participation within the network. Token Distribution at TGE Before public emissions begin, 6.3 million VRAM are pre minted for key ecosystem purposes: Team incentives Liquidity provision Community airdrops Investor allocations The remaining supply is released through the network’s emission schedule until the maximum supply of 21 million VRAM is reached. The VRAM token model combines a fixed supply, scheduled halvings, and continuous reward distribution. By limiting total supply to 21 million tokens and reducing emissions over time, the network aims to balance incentives for early participants with long term sustainability for the ecosystem.

omarchowdhury56's tweet photo. Understanding the VRAM Token Model

@vram_network follows a fixed supply emission model designed to reward miners and validators while keeping token issuance predictable.

Key Parameters

• Total Supply: 21,000,000 VRAM (hard cap)
• Reward Window: 10 minutes per window (144 windows every day)
• Initial Emission: 70 VRAM per window
• Halving Points: Rewards are reduced when 7 million and 10.5 million VRAM have been issued
• Validator Entry: Uses a burn based bonding curve mechanism
• Validator Rewards: Distributed proportionally each window
• TGE Pre Mint: 6.3 million VRAM allocated for the team, liquidity, airdrops, and investors

How the Emission System Works

VRAM distributes new tokens every 10 minutes. At the start, each reward window releases 70 VRAM. This continues until the network reaches the first issuance milestone of 7 million VRAM.

Once 7 million VRAM have been issued, the reward rate is reduced through a halving event. A second halving occurs after 10.5 million VRAM have been issued. This mechanism gradually slows the creation of new tokens over time.

Why Halving Matters

Halving reduces the rate at which new VRAM enters circulation. As emissions decrease, token supply growth becomes slower, which can help support long-term network sustainability while continuing to reward participants.

Validator Participation

Validators play an important role in securing and verifying network activity. Entry into the validator set is based on a burn-based bonding curve, creating an economic commitment for participation.

Validator rewards are distributed every reward window and are proportional to validator performance and participation within the network.

Token Distribution at TGE

Before public emissions begin, 6.3 million VRAM are pre minted for key ecosystem purposes:

Team incentives
Liquidity provision
Community airdrops
Investor allocations

The remaining supply is released through the network’s emission schedule until the maximum supply of 21 million VRAM is reached.

The VRAM token model combines a fixed supply, scheduled halvings, and continuous reward distribution. By limiting total supply to 21 million tokens and reducing emissions over time, the network aims to balance incentives for early participants with long term sustainability for the ecosystem.

117

Maradesa Adebayo @MaradesaAdebayo

1 day ago

AI workloads are exploding, but centralized clouds can't keep up—bottlenecks, high prices, limited access. @vram_network unlocks idle GPUs worldwide into a decentralized AI compute layer. Hybrid future is coming. #VRAMNetwork #DePIN #sui

MaradesaAdebayo's tweet photo. AI workloads are exploding, but centralized clouds can't keep up—bottlenecks, high prices, limited access. @vram_network unlocks idle GPUs worldwide into a decentralized AI compute layer. Hybrid future is coming. #VRAMNetwork #DePIN #sui https://t.co/RPjUzvfl2W

Frenzy.sui 🦭/acc 💿 @MMirzaee22

4 days ago

Why @SuiNetwork? @vram_network chose the #Sui ecosystem for: ⚡ Fast execution ⚡ Scalability ⚡ On-chain settlement ⚡ Infrastructure growth Interesting positioning as AI and Sui narratives continue to converge. #VRAM #VRAMNetwork #AI #AIAgents #Sui #DePIN #CryptoAI #Web3

MMirzaee22's tweet photo. Why @SuiNetwork?
@vram_network chose the #Sui ecosystem for:
⚡ Fast execution ⚡ Scalability ⚡ On-chain settlement ⚡ Infrastructure growth
Interesting positioning as AI and Sui narratives continue to converge.
#VRAM #VRAMNetwork #AI #AIAgents #Sui #DePIN #CryptoAI #Web3 https://t.co/0Nt95doXEl

Frenzy.sui 🦭/acc 💿 @MMirzaee22

4 days ago

Why I'm Bullish on @vram_network Most AI projects talk about infrastructure. VRAM is actually building it. ✅ Hardware-verified scoring ✅ On-chain rewards ✅ Decentralized training ✅ Sui ecosystem The future of AI won't be centralized. #VRAM #VRAMNetwork #AI #Sui #DePIN #Crypto

MMirzaee22's tweet photo. Why I'm Bullish on @vram_network
Most AI projects talk about infrastructure.
VRAM is actually building it.
✅ Hardware-verified scoring ✅ On-chain rewards ✅ Decentralized training ✅ Sui ecosystem
The future of AI won't be centralized.
#VRAM #VRAMNetwork #AI #Sui #DePIN #Crypto https://t.co/jQSrBECRfv

Maradesa Adebayo @MaradesaAdebayo

6 days ago

$vram token utility, simply put 🔥 Fuel for AI compute requests Rewards for GPU miners Secures validators & network Aligns users, miners & builders Real demand → real rewards. Not just hype. This is how useful tokens should work. @vram_network #VRAMNetwork #DePIN

Omar 🐬

@omarchowdhury56

6 days ago

( @vram_network ) Token Utility Explained Simply The $VRAM token is not just about price. It plays a real role in running the VRAM Network. First, $VRAM powers the compute economy. When users or AI builders request GPU compute, payments are made using the token. This directly connects real demand to the network. Second, miners earn $VRAM for contributing GPU power. If you provide useful compute, you get rewarded. This keeps GPUs online and the network reliable. Third, validators and active participants use $VRAM. The token is used for securing the network, participating in validation, and supporting long term stability. Fourth, $VRAM aligns incentives. Users want affordable compute. Miners want fair rewards. Builders want reliable infrastructure. The token balances all three. $VRAM is not a passive asset. It is the fuel that moves compute, rewards contributors, and keeps the network running. That’s real utility not just speculation.

omarchowdhury56's tweet photo. ( @vram_network ) Token Utility Explained Simply

The $VRAM token is not just about price.
It plays a real role in running the VRAM Network.

First, $VRAM powers the compute economy.

When users or AI builders request GPU compute, payments are made using the token. This directly connects real demand to the network.

Second, miners earn $VRAM for contributing GPU power.

If you provide useful compute, you get rewarded. This keeps GPUs online and the network reliable.

Third, validators and active participants use $VRAM.

The token is used for securing the network, participating in validation, and supporting long term stability.

Fourth, $VRAM aligns incentives.
Users want affordable compute.
Miners want fair rewards.
Builders want reliable infrastructure.
The token balances all three.

$VRAM is not a passive asset.
It is the fuel that moves compute, rewards contributors, and keeps the network running.

That’s real utility not just speculation.

134

Maradesa Adebayo @MaradesaAdebayo

10 days ago

$vram tokenomics looking solid 👌 Fixed 21M supply. 50% to GPU miners. 20% validators. Team & investors vested. Liquidity at TGE + airdrop. Real utility + aligned incentives for long-term AI compute growth. #VRAMNetwork #DePIN #Sui

Omar 🐬

@omarchowdhury56

10 days ago

When you look at @vram_network two things stand out clearly: real utility and well structured tokenomics. At the center of the ecosystem is the $VRAM token, with a fixed total supply of 21 million. There is no unlimited minting and no hidden inflation. This creates a strong foundation for long term value. What makes the structure even stronger is how the supply is allocated. 𝟓𝟎% 𝐨𝐟 𝐚𝐥𝐥 𝐭𝐨𝐤𝐞𝐧𝐬 𝐠𝐨 𝐭𝐨 𝐦𝐢𝐧𝐞𝐫𝐬, meaning GPU contributors who actually power the network. This ensures that rewards are tied to real compute work, not speculation. The people who provide infrastructure are the ones who benefit the most. 𝟐𝟎% 𝐢𝐬 𝐚𝐥𝐥𝐨𝐜𝐚𝐭𝐞𝐝 𝐭𝐨 𝐯𝐚𝐥𝐢𝐝𝐚𝐭𝐨𝐫𝐬, supporting network security and proper verification. A well-incentivized validator set is essential for decentralization and trust. 𝐓𝐡𝐞 𝐭𝐫𝐞𝐚𝐬𝐮𝐫𝐲 𝐚𝐥𝐥𝐨𝐜𝐚𝐭𝐢𝐨𝐧 (𝟗.𝟓%) 𝐟𝐨𝐥𝐥𝐨𝐰𝐬 𝐚 𝐥𝐨𝐧𝐠 𝐯𝐞𝐬𝐭𝐢𝐧𝐠 𝐬𝐜𝐡𝐞𝐝𝐮𝐥𝐞, designed to support development and ecosystem growth over time, not short term spending. 𝐋𝐢𝐪𝐮𝐢𝐝𝐢𝐭𝐲 (𝟖%) 𝐢𝐬 𝐟𝐮𝐥𝐥𝐲 𝐚𝐯𝐚𝐢𝐥𝐚𝐛𝐥𝐞 𝐚𝐭 𝐓𝐆𝐄, ensuring smooth market access from day one without restricting trading. 𝐁𝐨𝐭𝐡 𝐭𝐡𝐞 𝐭𝐞𝐚𝐦 (𝟓%) 𝐚𝐧𝐝 𝐢𝐧𝐯𝐞𝐬𝐭𝐨𝐫𝐬 (𝟓%) are locked with cliffs and vesting periods. This shows clear long term alignment and reduces early sell pressure. There is also a 𝟐.𝟓% 𝐚𝐢𝐫𝐝𝐫𝐨𝐩 𝐚𝐥𝐥𝐨𝐜𝐚𝐭𝐢𝐨𝐧, fully unlocked at TGE, rewarding early community participation. On top of this, $VRAM follows a controlled reward emission model with halving cycles. Rewards decrease over time, helping manage inflation while encouraging early contributors. From a broader perspective, $VRAM is not just a token. It represents participation in a decentralized AI compute network. As demand for AI grows, demand for compute grows as well and VRAM is positioned directly in that path. Strong fundamentals. Clear incentives. Real world utility. This is what long term aligned tokenomics in AI infrastructure looks like.

omarchowdhury56's tweet photo. When you look at @vram_network two things stand out clearly: real utility and well structured tokenomics.

At the center of the ecosystem is the $VRAM token, with a fixed total supply of 21 million. There is no unlimited minting and no hidden inflation. This creates a strong foundation for long term value.

What makes the structure even stronger is how the supply is allocated.

𝟓𝟎% 𝐨𝐟 𝐚𝐥𝐥 𝐭𝐨𝐤𝐞𝐧𝐬 𝐠𝐨 𝐭𝐨 𝐦𝐢𝐧𝐞𝐫𝐬, meaning GPU contributors who actually power the network. This ensures that rewards are tied to real compute work, not speculation. The people who provide infrastructure are the ones who benefit the most.

𝟐𝟎% 𝐢𝐬 𝐚𝐥𝐥𝐨𝐜𝐚𝐭𝐞𝐝 𝐭𝐨 𝐯𝐚𝐥𝐢𝐝𝐚𝐭𝐨𝐫𝐬, supporting network security and proper verification. A well-incentivized validator set is essential for decentralization and trust.

𝐓𝐡𝐞 𝐭𝐫𝐞𝐚𝐬𝐮𝐫𝐲 𝐚𝐥𝐥𝐨𝐜𝐚𝐭𝐢𝐨𝐧 (𝟗.𝟓%) 𝐟𝐨𝐥𝐥𝐨𝐰𝐬 𝐚 𝐥𝐨𝐧𝐠 𝐯𝐞𝐬𝐭𝐢𝐧𝐠 𝐬𝐜𝐡𝐞𝐝𝐮𝐥𝐞, designed to support development and ecosystem growth over time, not short term spending.

𝐋𝐢𝐪𝐮𝐢𝐝𝐢𝐭𝐲 (𝟖%) 𝐢𝐬 𝐟𝐮𝐥𝐥𝐲 𝐚𝐯𝐚𝐢𝐥𝐚𝐛𝐥𝐞 𝐚𝐭 𝐓𝐆𝐄, ensuring smooth market access from day one without restricting trading.

𝐁𝐨𝐭𝐡 𝐭𝐡𝐞 𝐭𝐞𝐚𝐦 (𝟓%) 𝐚𝐧𝐝 𝐢𝐧𝐯𝐞𝐬𝐭𝐨𝐫𝐬 (𝟓%) are locked with cliffs and vesting periods. This shows clear long term alignment and reduces early sell pressure.

There is also a 𝟐.𝟓% 𝐚𝐢𝐫𝐝𝐫𝐨𝐩 𝐚𝐥𝐥𝐨𝐜𝐚𝐭𝐢𝐨𝐧, fully unlocked at TGE, rewarding early community participation.

On top of this, $VRAM follows a controlled reward emission model with halving cycles. Rewards decrease over time, helping manage inflation while encouraging early contributors.

From a broader perspective, $VRAM is not just a token. It represents participation in a decentralized AI compute network. As demand for AI grows, demand for compute grows as well and VRAM is positioned directly in that path.

Strong fundamentals.
Clear incentives.
Real world utility.

This is what long term aligned tokenomics in AI infrastructure looks like.

246

105

Maradesa Adebayo @MaradesaAdebayo

11 days ago

Why @vram_network built on @SuiNetwork? It's because of the Speed, scalability & low fees for constant GPU tasks, verifications & instant rewards. Sui handles the blockchain layer so VRAM can deliver open AI compute. Strong combo. #VRAMNetwork #Sui #DePIN

Omar 🐬

@omarchowdhury56

11 days ago

Everyone keeps asking one simple question 👇 Why is @vram_network building on @SuiNetwork? The answer is simple. VRAM Network is creating a decentralized GPU network where contributors can help train AI models and earn rewards for their compute power. For a system like this to work smoothly, the network behind it needs to be: Fast Scalable Low cost Able to handle frequent on chain activity That’s where Sui comes in. Sui is designed for high speed transactions and efficient on chain processing. This makes it easier for VRAM Network to coordinate GPU contributors, verify work, and distribute rewards in real time. Another important reason is scalability. As more people join the network and contribute GPUs, the system needs infrastructure that can grow without slowing down or becoming expensive to use. Sui’s architecture helps support that growth. Instead of relying on slow and costly systems, VRAM Network can focus on building a smoother experience for contributors and developers. VRAM provides the decentralized AI compute layer. Sui provides the fast and scalable blockchain infrastructure behind it. Both together are helping build a more open AI ecosystem where anyone can participate, contribute, and benefit.

omarchowdhury56's tweet photo. Everyone keeps asking one simple question 👇

Why is @vram_network building on @SuiNetwork?

The answer is simple.

VRAM Network is creating a decentralized GPU network where contributors can help train AI models and earn rewards for their compute power.

For a system like this to work smoothly, the network behind it needs to be:

Fast
Scalable
Low cost
Able to handle frequent on chain activity

That’s where Sui comes in.

Sui is designed for high speed transactions and efficient on chain processing. This makes it easier for VRAM Network to coordinate GPU contributors, verify work, and distribute rewards in real time.

Another important reason is scalability.

As more people join the network and contribute GPUs, the system needs infrastructure that can grow without slowing down or becoming expensive to use.

Sui’s architecture helps support that growth.

Instead of relying on slow and costly systems, VRAM Network can focus on building a smoother experience for contributors and developers.

VRAM provides the decentralized AI compute layer. Sui provides the fast and scalable blockchain infrastructure behind it.

Both together are helping build a more open AI ecosystem where anyone can participate, contribute, and benefit.

207

117

Maradesa Adebayo @MaradesaAdebayo

11 days ago

Big Tech shouldn’t own AI’s foundation. @vram_network is building a community-owned GPU network on @SuiNetwork. Share idle GPUs → Train AI models → Earn transparently. Decentralized, verifiable & permissionless. Rebuilding AI infrastructure for the community. #VRAMNetwork #Sui

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