Top Tweets for #vRAM
@vram_network token model:
• 21M fixed supply $VRAM
• 70 VRAM emitted every 10 min → halves at 7M & 10.5M issued
• Rewards miners + validators
• 6.3M pre-mined for team, liquidity, airdrops, investors
Predictable halvings, real incentives, long-term sustainability. #VRAM

I'm still doing some tests, documents. Interesting:
===========
Processing time (forward): 0.238 ms Calculated throughput: 4,201,680,672 operations/s (~4.2 billion operations/s) Attention complexity: O(1) (native table lookup) #Allocated #VRAM (GPU): 0.00 #MB Power consumption (TDP): 65 watts ===========
#ZetapAdicAI
As digital infrastructure evolves, efficient resource utilization becomes increasingly valuable.
@vram_network is exploring new possibilities for VRAM in a rapidly changing landscape. 🚀
#Web3 #VRAM #SUI

VRAM plays a crucial role in handling complex workloads, high-resolution assets, and advanced AI models.
@vram_network is helping bring awareness to an essential part of modern computing. 🔥
#Technology #VRAM

@LimboBraid The strongest trends start long before the crowd notices. Building the foundation today creates tomorrow’s opportunities. ⚡🚀 #VRAM #AI #DePIN #Sui
議事録から課題管理表を自動生成するアプリを作ってみた〜分類は動いた、抽出はまた VRAM 4GBの壁に当たった話〜|ゆうき @yWqOTmHnZE13786 https://t.co/aAyynTCVON
#Dify #ローカルLLM #VRAM
The demand for GPU memory continues to rise across AI training, content creation, and gaming.
It's exciting to see @vram_network building solutions around this growing market. ⚡
#VRAM #AI

When everyone is chasing hype, but you're busy stacking the infrastructure that powers the hype. 😎⚡ #VRAM #AI @vram_network

Most people talk about computing power, but memory capacity is often the real bottleneck.
@vram_network is focused on an area that could become increasingly important as AI adoption accelerates. 🚀
#VRAM #Tech

Build a faster, more private AI workstation today. See the breakdown of RTX 4070 TI vs RTX 5070 for local AI benchmarks. Full comparison here: https://t.co/qxisrPvqhb #StableDiffusion #GenerativeAI #HardwareReview #VRAM
What do @vram_network Genesis NFT holders actually get?
• Early access to features & agents
• $VRAM airdrops + priority allocations
• Lower fees
• Governance rights
• Long-term reward multipliers
Core membership for early believers.
Real value for long-term holders.
#VRAM

Wataa
Most people talk about computing power, but memory capacity is often the real bottleneck.
@vram_network is focused on an area that could become increasingly important as AI adoption accelerates. 🚀
#VRAM #Tech

Wataa
Every breakthrough in AI increases the need for scalable memory resources.
Projects like @vram_network highlight how critical VRAM is becoming in the future of computing.
#AI #VRAM #Innovation

Everyone wants to build AGI until the @vram_network requirement enters the chat. 💀 #VRAM #AI #GPU #DePIN

The next wave of innovation will require more than powerful processors. Efficient memory infrastructure will be a key part of supporting AI, gaming, and data-intensive applications.
@vram_network is building where demand continues to grow.
#Technology #VRAM
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

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

What is @vram_network?
🧠 VRAM isn't just another AI project.
It's building a decentralized network where global miners can contribute compute power to train AI models, with rewards settled on-chain.
AI + DePIN + @SuiNetwork = a powerful combination.
#VRAM #AI #Sui

Is @vram_network safe for your GPU? ✅
Yes.
It runs real AI compute tasks (not aggressive mining), with controlled usage similar to normal workloads like rendering or ML.
Good cooling is enough. No unnecessary stress.
Perfect for turning idle GPUs into productive assets.
#VRAM
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