High-performance blockchain infrastructure. Bare-metal validators, testnet-to-mainnet support, and long-term network reliability.
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Joined April 2016
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@Crestlayer has officially become a validator node on the Canton mainnet.
@CantonNetwork is the first privacy-enabled Layer 1 blockchain designed specifically for institutional finance, enabling regulated entities to securely, compliantly, and interoperably transfer assets.
For validators, network upgrades are part of the job.
Today’s Ethereum Glamsterdam activation on Sepolia is another reminder:
Infrastructure needs to evolve with the protocol — not after it.
We’re continuing to monitor upgrades, test changes early, and keep our infrastructure ready for production.
Reliable infrastructure is built before the upgrade window.
#Ethereum #Validators #Infrastructure #Web3
Jeremy gave us a look at what’s coming to @arc during Circle’s Q2 2026 Earnings Call.
Arc Mainnet launches September 16 — and the numbers leading up to this moment are impressive:
• 500M+ transactions processed on testnet
• Nearly 3M wallets
• Nearly perfect uptime
• 100+ partners already active on private mainnet
But beyond the numbers, what’s particularly interesting is the caliber of institutions preparing to operate as network validators alongside Circle.
From leading asset managers and banks to exchanges, payment networks, payment processors, and remittance companies.
Arc is being built as financial infrastructure for institutions — and for the next generation of global finance.
As Jeremy said, this is an incredible milestone.
September 16. We’re getting close. 🚀
Crestlayer Nodes retweeted
Earlier this week, DoubleZero made a large announcement with @Kalshi... but what exactly does it mean for traders?
@Austin_Federa explains via @CoinDesk.
Full chat below ↓
Crestlayer Nodes retweeted
We'll be having a Stablecoin Breakfast session for builders and developers in Lagos this weekend.
If you're building on @arc or you're exploring integrating stablecoins into your existing product stack, We'd love have you join us.
In Lagos? Join us this weekend!
community.arc.io/home/clubs/…
Crestlayer Nodes retweeted
🚀Great to see @RedHat_AI and @poolsideai team up to make Laguna XS.2 faster and cheaper to serve in vLLM. A DFlash speculator built with Speculators drafts 8 tokens per forward pass for 2-3x faster decoding at no quality loss, and LLM Compressor adds FP8 / NVFP4 / INT4 checkpoints so you can match your hardware budget.
🔗 vllm.ai/blog/2026-05-28-lagu…
Laguna XS.2 from @poolsideai is a 33B MoE built for agentic coding.
Red Hat AI trained a DFlash speculator for it: 0.6B drafter, 8 tokens per pass, no quality loss.
FP8, NVFP4, and INT4 checkpoints via LLM Compressor.
Models in comments. Speedup with @vllm_project:
Crestlayer Nodes retweeted
🚀 Command A+ is ready to serve on vLLM: day-0.
Frontier open-source, production-ready. Huge congrats to the Cohere and vLLM teams!
Read more 👇
cohere.com/blog/command-a-pl…
Crestlayer Nodes retweeted
Arc Hackathon Spotlight: Chariot
Chariot is an Arc Hackathon Spotlight project exploring how lending infrastructure can work across chains with ETH-backed collateral, vault logic, and automated risk controls.
Join @samconnerone and Sipho Yawe live on May 7 at 11:00 AM ET for a walkthrough of the build:
→ ETHEscrow to BridgedETH
→ ERC-4626 vault design
→ Liquidation logic and circuit breakers
→ Vault agent architecture
See how hackathon projects on Arc turn into real, composable financial infrastructure.
RSVP: community.arc.network/public…
Crestlayer Nodes retweeted
If you're offering compute but egress is eating up your margins, let's talk
If your training data is stuck in one region and your GPUs are in another, let's talk.
If your content is being consumed, but you don't know by whom, let's talk.
Booth E11. We're here all day.
Crestlayer Nodes retweeted
Today, cross-border payroll routes through various intermediaries, each taking a fee.
With stablecoins, payroll providers get lower-cost payouts, faster account funding, and new revenue streams.
A practical guide for payroll platforms:
tempo.xyz/blog/stablecoins-f…
Our principle as a node operator: build long-term, give honest feedback, and stay reliable through every stage.
The stakes have changed in
@CantonNetwork
: With this halvening the majority of $CC rewards goes to apps and users - more than 60% of all CC minted! TradFi and crypto firms alike are competing for the same pool of rewards and everyone wins as adoption grows.
Impressed by what @BitRobotNetwork is building — AI automation agents that aim for dependability and real execution, not sandbox experiments.
This focus on reliable orchestration and execution is exactly what the future of autonomous systems needs. Looking forward to updates!
Really enjoyed this conversation — especially the breakdown on hot storage vs cold storage and the latency tradeoffs vs Filecoin / Arweave.
@rpranav @shelbyserves
☁️ Deep dive into decentralized hot storage with @rpranav (Head of Core Infra @AptosLabs & Lead @shelbyserves)
I asked him why Web3 needs "Amazon S3 but decentralized" and how they plan to beat cloud giants on speed and price.
Timestamps:
📦 00:00 — What is @shelbyserves
💸 00:53 — The "Cloud Bill" problem: Why Web2 storage hurts startups
🏎️ 02:10 — Shelby vs Filecoin/Arweave: Milliseconds vs Seconds
🏛️ 02:59 — The 6 technical pillars to achieve speed and low latency
🔒 05:23 — Privacy: Token-gated data & on-chain access control
🎬 06:28 — Use cases: Decentralized YouTube/TikTok & Prediction Markets
🤖 07:16 — The fastest growing sector: Storage for AI Agents
📉 07:40 — Why Shelby is 4x cheaper
🗓️ 08:55 — Roadmap: Wen Testnet & Road to Mainnet
🪙 10:58 — Economics: Payments, token
🌐 11:35 — Why Aptos is the only chain that can handle Shelby's load
🛡️ 12:26 — Pranav’s personal investment strategy ("I'm all in ...")
If you are building data-heavy apps — this conversation is crucial.
Very bullish on the direction @ShelbyServes is taking.
Real-time, decentralized data access is something the ecosystem has been missing for a long time.
Liquidity fragmentation rarely breaks markets outright. It slowly increases the cost of being wrong. You notice it when spreads widen exactly when you need them tight, when liquidations arrive sooner than models suggested. What gets labeled as volatility is often inefficiency