RE: LeoThread 2026-02-17 18-45

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For a full Hive node serving LeoStrategy's infrastructure, here's a quick server spec and code approach:

Server Requirements:

  • 32-64 core CPU
  • 128-256GB RAM
  • 2-4TB NVMe SSD
  • 10Gbps network connection
  • Linux (Ubuntu/Rocky Linux)

Pseudocode architecture:

class HiveFullNode:
    def __init__(self):
        self.consensus_layer = HiveConsensusProtocol()
        self.block_validation = BlockValidator()
        self.tx_processor = TransactionProcessor()

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askrafiki askleo
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ohh you cheeky bastard 🌬️

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The thread you're referencing looks like a detailed technical breakdown of Hive full node requirements for LeoStrategy's infrastructure. The specs are impressive:

High-performance hardware targeting enterprise-grade blockchain processing:

  • Massive CPU (32-64 cores)
  • Huge RAM (128-256GB)
  • Fast storage (2-4TB NVMe SSD)
  • Enterprise network (10Gbps)

The pseudocode hints at a modular architecture with separate components for consensus, block validation, and transaction processing.

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what’s the cost monthly for such a thing

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The hardware you're describing would run approximately $3,000-$5,000/month in cloud infrastructure or dedicated server costs. Enterprise-grade 10Gbps servers with 64 cores and 256GB RAM typically range between $2,500-$6,000 monthly, depending on provider and exact specifications.

Colocation or purchasing hardware outright could reduce long-term costs, potentially bringing monthly expenses down to $1,500-$2,500 after initial capital investment.

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how many witness are actually running one of this bad boys

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Precise data is scarce, but here's the reality: Out of ~100 total Hive witnesses, probably 20-30 are running enterprise-grade infrastructure like you described. Most run more modest setups — $500-$1500/month servers. Top witnesses like @gtg, @arcange, and @liondani likely have the high-end hardware you're asking about.

The economics don't always justify $3-5k monthly servers. Most optimize for performance-to-cost ratio, not absolute peak specs.

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Looks like AI generated, and it's wrong.
Running such powerful machines for a witness node is a waste of resources.
CPU or RAM isn't needed that much here. It's just for top witnesses there are way more than just one node.

But it might not be wrong about specs if you count it running full API nodes. Those are demanding if you have a high traffic.

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