Rejinderi

[Johnny Appleseed @UncleSpam1776]

@BestPizzaChef There should be a video game like this

[coldvision @coldvisionXYZ]

Introducing the execution layer, the perfect complement to the intelligence layer.

Trade on https://t.co/JmQ05bTYsK

Retweet and we'll find you.

[Rejinderi @rejinderi]

@tankots @WisprFlow Whispr Flow

[Rejinderi @rejinderi]

OMG, you guys HAVE to check this out! I'm pre-depositing on @AftermathFi's NEW perp dex right now to rack up points & rewards! 🚀 It's the ONLY fully on-chain dex in the universe, fueled by $SUI! Don't miss it! 💰✨ #AftermathFi
https://t.co/C2FsFVUVDY

[Rejinderi @rejinderi]

if you are already trading on @HyperliquidX, come on @BasedOneX!
- upcoming airdrop! 🍧
- 2nd highest builder by fee 🔝
- most convenient all in one mobile interface 📳
- based cloud allows anyone to spin up own dex 🏢
- upcoming debit card 💳
start here: https://t.co/BTPGhuBaa6

[Rejinderi @rejinderi]

@LazyDevGuy @base take a look at @heurist_ai

[Rejinderi @rejinderi]

Comfy with my @heurist_ai bag staked in @wasabi_protocol earning yield and Wasabi Points on my favorite CultureFi DEX

https://t.co/RwErUAb8rs

[Rejinderi @rejinderi]

@raares @echodotxyz @PlasmaFDN they should have dedicated customer support or automated withdrawals enablement for situations like this. hope it gets resolved soon. please expedite @echodotxyz @PlasmaFDN!

[necron (💙,🧡) ❤️ (🍞,🍞) @itsmekathleenh]

cant you see what's happening, tradfi is already finding ways for making defi accessible to everyone. mainsteet yields will be like the old days 3% apy vs digital assets yield via stablecoins 8-10% yield borderless 24/7 accessible to everyone. @chainlink @syrupfi

[necron (💙,🧡) ❤️ (🍞,🍞) @itsmekathleenh]

while many companies are busy with the stablecoin market. this also presents an opportunity as those capital will flow into institutional grade defi and lending strategies like @maplefinance . we are at the beginning of something big here and its just getting started.

[Rejinderi @rejinderi]

tagging people who called him out. @BenPhm3 @Gimmexrp @BDHP_Web3 @cryptobets8888 @Diamondwhalesz @Namfocus1 @GodracirWho @Scaplis_

[Rejinderi @rejinderi]

@shentengeth @launchcoin this guy is a serial scammer. scammed a bunch of his followers. his @okxchinese @okx @OKX_Ventures OKX address is 4eXTGAxnKGYeYhB4AUxrKywfAiejk11AETvXXTfFqSzT

address used for conducting his scams: 5omP8ebaso1qZ2ZQN6aVsqHQ7kiTcHgju3AHckNXraJa

[Rejinderi @rejinderi]

@shentengeth @launchcoin this guy is a serial scammer. scammed a bunch of his followers. his @okxchinese @okx @OKX_Ventures OKX address is 4eXTGAxnKGYeYhB4AUxrKywfAiejk11AETvXXTfFqSzT

address used for conducting his scams: 5omP8ebaso1qZ2ZQN6aVsqHQ7kiTcHgju3AHckNXraJa

[Rejinderi @rejinderi]

@Melt_Dem @SemiAnalysis_ @dylan522p .@exa_bits is the only true compute provider in web3 that ticks the points you listed AFAIK. they provide enterprise level GPUs to most of the known projects (@AethirCloud, @ionet, @akashnet). not only that, they have the expertise to deploy and optimize training/inference.

[Rejinderi @rejinderi]

.@lithdew, as one of the most knowledgeable networking experts I know, do you have any insights for the @helloSQD team? Seems like they reached their scaling limits and could benefit from your expertise🤔.

[DZ | SQD.ai @dizhel]

SQD Network grew so big that now it’s likely the largest deployment of @libp2p pubsub in the wild. In fact, it seems that we are hitting the scalability limits at the transport layer.

[Rejinderi @rejinderi]

@newsystems_ brampton

[RaArΞs ⚓️ @RaAres]

Big Tech doesn't want AI to be decentralized. Devs deal w/ overpriced GPUs, complex infra & constant bottlenecks.

$IO @ionet recently dropped IO Intelligence & new dev tools — cutting through the noise & making AI compute plug-and-play.

A thread 🧵.

I'll go through:
1️⃣ IO Intelligence
2️⃣ AI dev tools

Let's get it on!

—▫️— IO Intelligence

💡 What it is

• https://t.co/VtIlh4TcLT just launched IO Intelligence → a platform merging Vector Database as a Service w/ AI agents & open-source models
• designed for real-time analytics w/out forcing devs to deal w/ heavy infra or complex setups

💡 The problem

• AI needs real-time analytics & decision-making, but setting it up is complex
• traditional AI stacks require heavy infra, advanced coding & expensive compute
• businesses need better AI models without sacrificing privacy or performance

result → AI adoption is slow, costly & technically challenging

💡 The solution: IO Intelligence

• combines Vector Database as a Service w/ up to 5 AI agents & 25+ open-source models
• integrates DeepSeek, Meta Llama, Mistral & other top models into a single framework
• lets devs & businesses build AI-powered apps through an API or a full-featured website

2️⃣ AI dev tools

https://t.co/VtIlh4TcLT launched a suite of dev tools that simplify AI deployment.

💡 Why devs need better AI infra
• centralized GPU access → locked behind Big Tech, expensive & unreliable
• scalability issues → devs hit compute bottlenecks when demand spikes
• complex setup → traditional infra requires navigating intricate configurations

https://t.co/VtIlh4TcLT fixes this by providing tools that make GPU access easy.

💡 https://t.co/VtIlh4TcLT’s dev tools: what’s inside?

Its suite of tools revolves around 3 key components:

— 1 — worker portal (for GPU providers)

GPU owners can plug into the network in minutes:
• quick onboarding → link a Solana/Aptos wallet & start providing GPU power
• dashboard tracking → real-time earnings & workload monitoring
• smart task allocation → jobs get distributed efficiently across the network

This ensures a steady supply of decentralized compute for AI workloads.

— 2 — https://t.co/VtIlh4TcLT’s API (for AI developers)

The API is built on RESTful principles, giving devs access to the GPU network without dealing w/ infrastructure headaches.

Features include:
• authentication via JWT tokens
• IO API Explorer
• rate limits

— 3 — real-time monitoring & workload management

Devs need reliability, & https://t.co/VtIlh4TcLT ensures this w/:

• fault monitoring
• reporting & analytics
• decentralized scaling

This makes AI compute predictable, cost-effective & scalable.

💡 Essentially, io net's dev tools remove the friction from AI deployment:

• decentralized GPU access → eliminates reliance on Big Tech pricing
• seamless API integration → devs can tap into compute power w/o managing infra
• real-time monitoring & automation → ensures smooth workload execution

Instead of struggling w/ outdated GPU models, devs get plug-and-play access to a global compute network.

How much compute power is being wasted right now?
What if you could use it on demand instead of paying centralized providers?

Leave your comments below & follow @raares for more updates on @ionet.

[RaArΞs ⚓️ @RaAres]

AI is growing fast, but access to high-performance compute is still controlled by a few major players.

We'll be seeing lots of web3 players covering this market.

$EXA @exa_bits transforms GPU clusters into scalable & investable AI compute through tokenization.

Let's see how they're doing it — a thread 🧵

Here's what you'll read about:
→ what is Exabits
→ democratizing AI compute through tokenization
→ raw GPU power into scalable AI compute
→ $EXA & $XBIT

Let's get it on!

—▫️— What is Exabits

Exabits is a compute base-layer platform transforming high-end GPU clusters into accessible digital investment assets.

Exabits has proprietary hardware & software that allows them to offer users a way to invest in GPU infra & yield.

— ▫️— Democratizing AI compute through tokenization

AI compute is still controlled by a few major players, making access expensive & exclusive.

Exabits is changing this by tokenizing GPU infra, letting anyone invest in & access enterprise-grade AI compute.

💡 Traditional AI compute: locked behind high costs & enterprise control
→ requires massive capital to build & maintain GPU clusters
→ retail investors & smaller orgs can’t participate

💡Exabits' solution: tokenized compute ownership
→ $XBIT tokens = fractional ownership of GPU infra
→ users can buy, sell & stake GPU-backed assets
→ compute power becomes liquid & accessible for all

— ▫️— Raw GPU power into scalable AI compute

Raw GPUs on their own? Pretty useless.

They need optimization, speed & reliability to actually power AI at scale.

Here's how it's doing it:

1. faster GPU acquiring & setup
• traditional lead times → 8-20 weeks for GPUs, 12+ weeks for infra
• Exabits' process → cuts procurement to 4-8 weeks, infra setup to 2 weeks
• AI teams get compute fast, w/o bottlenecks

2. optimizing gpu performance
• raw deployment → underutilized power & inefficiencies
• Exabits' AI-driven tuning → workload balancing & 2-4x performance boost
• every compute cycle is optimized for max output

3. ensuring enterprise-grade reliability
• unstable compute → risks of downtime & AI failures
• Exabits' 95%+ uptime → burn-in testing & real-time monitoring
• AI systems stay operational, no unexpected crashes

4. rapid scaling of compute clusters
• old model → takes 4-8 months to deploy 1,000 GPUs
• Exabits' engineering → fully operational clusters in 1-2 months
• AI companies scale compute instantly, keeping up w/ demand

A performance notification was made recently by the team, showcasing what it means all of the above:

Exabits has deployed DeepSeek locally & is 2-10x faster than its competitors like Runpod, Vast & AutoDL.

Tests on 8x RTX 4090 24G & 8x A100 PCIe 80G show lower latency & higher efficiency.

—▫️— $EXA & $XBIT

Exabits employs a 2-token system:

1️⃣ $XBIT → tokenized compute ownership
• represents fractional ownership of GPU infra
• backed by real AI compute power, not speculation
• staking
• redeemable for GPU access & AI model services
• price floor tied to compute demand

2️⃣ $EXA → governance, utility & liquidity
• used for GPU payments & compute access discounts
• governs Exabits' ecosystem (voting on upgrades, fees, rewards)
• tradable on exchanges
• staking
• part of Exabits' treasury

$XBIT = compute asset
$EXA = ecosystem driver

No token is launched yet, so careful out there for scams!

And that's a wrap!

What do you think of this race that started w/ democratizing GPU/AI?

There are few projects that actually have traction and stuff.

Do you know others?

Follow @raares for more reads like this one. Cheers.

[Rejinderi @rejinderi]

Registration completed @infecteddotfun
sig:0xa54b15b5c88fa9edfd7bbcd5cade6070e80a0d5b918e7c8c9cfaa29fa10e06ac9eef0c100548b38e42c4651da041769446f26f411d821f

[Rejinderi @rejinderi]

@WalrusProtocol probably nothing @BlobLifeLabs

[RaArΞs ⚓️ @RaAres]

First post on @peaq $PEAQ for this year & I'll be covering 2024 highlights just to capture a fraction of what's coming

#DePIN is still one of my fav niches along with #AI and #RWA and $PEAQ is one of my biggest holdings in this niche because I really love how this project evolves month by month, organic, adding value and bringing more and more valuable partners. Strong network = strong project.

https://t.co/DOV07ObhtT ✅

Sometimes it takes a huge moment like the CEO of NVIDIA calling something "the future" for people to wake up & see what's right in front of them.

That's what @MaxThake (CEO) said after 2 VCs who had passed on the project reached out after seeing the Nvidia keynote.

He remarked that sometimes it takes the CEO of a major company like Nvidia to validate something as "the future" for others to believe in it.

PEAQ's ecosystem includes collabs w/ industry leaders such as NVIDIA & AWS.

For instance, @azen_protocol, a project within the PEAQ ecosystem:
• holds grants from @alibaba_cloud & @Amazon Web Services
• has received awards from @NVIDIA & @AMD.

Let's get into 2024 highlights from peaq.

— ▫️— 2024 highlights

1️⃣ Stats

Total machines & devices on-chain: 43.7k
Total user accounts: 94k
Total txs since launch: 2M+
Daily txs: 90k+

• 41 new depins joined the peaqosystem, spanning 22 industries
• $20M raised in the largest CoinList launch in over 2 years
• Mainnet launched on Nov 12, 2024 — Machine Economy is officially live
• 40,000+ machines now on-chain, w/ millions more expected

2️⃣ Key partnerships

• peaq backed $100M DePIN fund by Borderless Capital
• joined Mastercard Start Path
• Bosch, Lufthansa & Deutsche Telekom joined the DePIN Enterprise Program

3️⃣ peaq's vision

• powering a regenerative machine economy, where the more value machines create, the more everyone earns

• DePIN model will become part of everyday life, seamlessly integrated into communities & economies

4️⃣ Standout projects

• @silencioNetwork — turns noise data into monetizable insights, app now supports live mapping and rewards

• @Farmsent_io — revolutionizing agri-supply chains with decentralized transparency

• @DATSProject — using idle computing power to fight cybercrime, aiming for 1M+ IPs

• @BistrooIO — creating sustainable restaurant delivery systems, rewarding both customers and restaurants

• @roam_network — decentralizing mobile network performance data, launching blockchain-verified SIM

• MapMetrics—rewards for geo-location data, launching live traffic website in 2025

— ▫️— peaq runtime upgrade

• expanded node set: the active validator node pool grew from 32 to 42, w/ plans to keep increasing

• delegators cap increased: now up to 48 delegators per node

• validator commissions: validators can now set their own commission rates

• reward distribution change: rewards are now distributed after network sessions (every few hours) instead of after each block. this reduces tx frequency & makes reward management easier

— ▫️— peaq general thread

I covered:
➙ what's @peaq
➙ modular DePIN functions
➙ use cases
➙ ecosystem
➙ tokenomics

https://t.co/5dF3JtIkue

(there is a small typo at ticker's name)

▫️ If you found this thread useful

Don't forget to follow @raares like or retweet.

👉 It keeps me going 🙌. Thanks.