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The TPS illusion: Why high-speed blockchains lie about decentralization

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And why Monad, Solana and many shiny “future L1s” fail the decentralization test — while small, slow chains like Bitcoin and ADAMANT stay truly sovereign.

The brutal truth: TPS kills decentralization

Every new “future-proof” chain promises 100,000 TPS and sub-second finality, “next-gen consensus”.

It always sounds magical.

It never is.

Because physics, networking, and hardware reality immediately destroy the marketing fairy tale:

You cannot have both extreme throughput and extreme decentralization.
The higher the TPS, the fewer people can run a node.

Once you understand that, the entire L1 landscape looks very different.

To process 10–20k transactions per second, a node must:

  • Validate 600k–1.2M tx/minute
  • Keep state updates in RAM
  • Write massive data volumes to NVMe
  • Sync blocks across the network under 100ms
  • Execute EVM or custom VM at datacenter speeds

This instantly eliminates:

  • home validators
  • cheap VPS servers
  • hobby nodes
  • Raspberry Pis
  • anyone without enterprise-grade hardware

Decentralization isn’t a philosophy. It’s simply:

“Can an average person run a full node?”

If the answer is no, the chain is centralized — no matter how good the marketing sounds.

Reality check: BTC vs ETH vs Solana vs Monad vs ADM vs LTC

Let’s check the hardware requirements for running nodes, as well as the costs to mine or validate blocks.

🟢 Bitcoin — the decentralization gold standard

TPS: ~7

Node requirements:

  • Any consumer hardware
  • HDD/SSD 400–600 GB
  • 4–8 GB RAM
  • Even a Raspberry Pi works

Mining:

  • Cost to run a mining node: $500 one-time hardware
  • Some electricity costs

Result:

  • Maximum decentralization
  • Tens of thousands of nodes
  • Anyone can run it
  • Profitable miners expensive, but nodes remain cheap

Bitcoin is slow on purpose.

Slow = accessible = decentralized.

🟠 Ethereum — the middle ground

TPS: ~15–30

Node requirements:

  • SSD 2 TB
  • 16–32 GB RAM
  • Multi-core CPU
  • Stable bandwidth

Validating blocks:

  • Validator requires 32 ETH (~$100k+)
  • Plus hardware (~$1500)

Result:

  • Moderately decentralized
  • Thousands of validators
  • But too heavy for casual users
  • Economically centralized, technically semi-decentralized

ETH scales via L2 rollups, not via L1 inflation.

This is the correct design.

🔴 Solana — fast, but centralized by default

TPS: Advertised 50k+, real-world 300–1500

Node requirements:

  • 256 GB RAM
  • High-end 16–32 core CPU
  • NVMe 2–4 TB
  • 1–10 Gbps bandwidth
  • Constant babysitting

Validating blocks:

  • Hardware: ~$5,000–$10,000
  • Plus access to datacenter tier internet
  • Stake required: 50,000–200,000+ SOL delegated

Result:

  • Only datacenters can run validators
  • Exposure to coordinated downtime
  • Economic + technical centralization

Solana sacrifices decentralization for throughput — knowingly.

🔴 Monad — the “Solana-performance EVM” with Solana-level hardware needs

Promised TPS: 10k–20k

Expected hardware:

  • 64–256 GB RAM
  • 8–32 core CPU
  • NVMe SSD 2–4 TB
  • High-bandwidth networking

Validating blocks:

  • Hardware: $5,000+
  • Stake: unknown, but likely high (VC-heavy allocation)

Result:

  • Will be fast
  • Will not be decentralized
  • Validators = datacenter actors only
  • Economic + technical centralization

Monad is simply Solana with Solidity — a valid design, but not a decentralized one.

🟢 Litecoin (LTC) — stable, conservative, boring, decentralized-enough

TPS: ~56

Node requirements:

  • Light SSD
  • 4–8 GB RAM
  • Home hardware friendly

Mining:

  • Cost to run a mining node: $500 one-time hardware
  • Some electricity costs

Result:

  • Truly decentralized
  • Works everywhere
  • Reliable PoW model

LTC is decentralized because it stayed small and conservative.

🟢 ADAMANT (ADM) — small, fast enough, and genuinely decentralized

TPS: tens

Node requirements:

  • VPS with 2 vCPU
  • 2 GB RAM
  • 60–80 GB SSD

Validating blocks:

  • $5/month VPS can run a full validator node
  • Stake: ~500k ADM ≈ $7k
  • Forging pools available with nearly zero-cost entrance

Result:

  • Anyone can run a node
  • Extremely accessible
  • No datacenter lock-in
  • High participation decentralization

ADM is what decentralization looks like in practice — not on slides.

Capital allocation and VC dominance: who really owns the chain?

This is the other half of decentralization that nobody discusses.

VC allocation = future sell pressure + control.

High TPS + high VC allocation = two layers of centralization at once.

“False decentralization”: The most dangerous type of blockchain

Many modern chains market themselves as:

  • “Web-scale decentralization”
  • “High TPS without sacrificing security”
  • “Democratized validator sets”
  • “Next-gen supernodes”

But in reality:

If only 0.01% of users can run a node, it is not a decentralized system — it is a CDN with a token.

And here’s the painful truth:

It is better to have an honestly centralized system (like Tron) than a chain that pretends to be decentralized but isn’t.

Why?

  • Honest centralization = predictable governance
  • Hidden centralization = attack surface
  • Honest centralization = reliable performance
  • Hidden centralization = false security assumptions, catastrophic failures
  • A chain that lies about decentralization is more dangerous than one that admits it.

Conclusion: TPS is the new scam metric

Projects will keep promising thousands TPS and “your chain, but faster”. But the conclusion is brutally simple:

The more TPS a chain targets, the fewer humans can run it.
And the fewer humans can run it, the less decentralized — and less secure — it is.

Real decentralization is not glamorous.

It is not fast.

It is not sexy.

It is not VC-friendly.

It is inexpensive, accessible, boring, resilient, censorship-resistant.

And that’s why systems like Bitcoin, Litecoin, and ADAMANT survive cycles.


The TPS illusion: Why high-speed blockchains lie about decentralization was originally published in ADAMANT on Medium, where people are continuing the conversation by highlighting and responding to this story.

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