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![JosephJacks_ Avatar](https://lunarcrush.com/gi/w:24/cr:twitter::1648999932.png) JJ [@JosephJacks_](/creator/twitter/JosephJacks_) on x 36.3K followers
Created: 2025-07-22 18:18:33 UTC

This would require 1-6M units of Blackwell (B200/B300) chips which are 5-30X more power efficient than the Hopper (H100/H200) chips....

Co-locating X million GB200 GPUs in one spot? Theoretically doable, but a mega-challenge—like building the world's largest data center ever! For context, today's biggest AI clusters are 10X smaller. This would dwarf that. Let's break it down: power, hardware, costs, & more. 💡

Power Requirements ⚡  

- Per GPU: ~1,200 W TDP (system-level).  
- Per rack: 120-132 kW (NVL72 config: XX CPUs + XX GPUs).  
- Racks needed: 2M GPUs ÷ XX = ~27,778 racks.  
- Total draw: XXXXXX × XXX kW = XXXX GW peak! 😲 (Or ~3.67 GW at XXX kW.)  

That's like 3-4 nuclear reactors or power for 2.3M US homes. 📈 Assume 70-90% utilization in reality.

Supplying 3+ GW? You'd need grid ties or on-site generation (gas, nuclear, renewables + storage). Blackouts = disaster! 🚨Data centers negotiate custom deals, but grid strain is real.

Hardware Requirements & Costs 🛠️  

- Core: 2M Blackwell GPUs as 1M GB200 Superchips (1 CPU + X GPUs each).
- Racks: XXXXXX NVL72 (w/ HBM3e up to XXXX TB/rack, NVLink for XXX TB/s).
- Networking: NVLink switches + Ethernet/InfiniBand for inter-rack.
- Cooling: Liquid-cooled mandatory 💧 (air won't cut it). Add chillers, pumps, CDUs—10-20% power overhead for cooling.
- Per Superchip: $60k-70k.
- Per rack: ~$3M (full setup).
- Total: $83-100B! 💰 (~$70B for Superchips + $10-20B for racks/networking/cooling/install).

Economies of scale possible, but add 10-20% for shipping/spares. NVIDIA's production ramp: 450k-800k/qtr by early 2025—sourcing could take several years. ⏳

Electricity Costs 💸  

- Avg rate: ~8.15¢/kWh (US industrial; hyperscalers get 4-6¢/kWh deals).
- Annual use: XXXX GW × XXXXX hrs = ~29.2B kWh (at XXX% uptime; real: 23-26B at 80-90%).
- Annual cost: $2.3-2.4B at 8¢ (or $1.2-1.8B at 4-6¢). Monthly: $190-200M.
Excludes fees/taxes—could add 20-50%. Rivals a large city's budget! 🏙️

Feasibility? Doable, but would take 3-5 yrs for build/permits/commissioning. Hurdles:  

- Land: ~55k-80k m² (13-20 acres) for compute; full site 100-200 acres (like an airport). 🏗️ 
- Supply chain: Strains global fabs (TSMC 4NP process, 208B transistors/GPU pair).
- Cooling/Env: Millions of gallons water/day; EPA approvals for heat/e-waste. 🌿 
- Regulatory/Grid: New lines or plants needed—utilities might balk.
- Alternatives: Distribute sites for redundancy, but loses low-latency perks.


XXXXXX engagements

![Engagements Line Chart](https://lunarcrush.com/gi/w:600/p:tweet::1947722951547379822/c:line.svg)

**Related Topics**
[xai](/topic/xai)
[hardware](/topic/hardware)
[10x](/topic/10x)
[coins ai](/topic/coins-ai)
[the worlds](/topic/the-worlds)
[chips](/topic/chips)
[jj](/topic/jj)

[Post Link](https://x.com/JosephJacks_/status/1947722951547379822)

[GUEST ACCESS MODE: Data is scrambled or limited to provide examples. Make requests using your API key to unlock full data. Check https://lunarcrush.ai/auth for authentication information.]

JosephJacks_ Avatar JJ @JosephJacks_ on x 36.3K followers Created: 2025-07-22 18:18:33 UTC

This would require 1-6M units of Blackwell (B200/B300) chips which are 5-30X more power efficient than the Hopper (H100/H200) chips....

Co-locating X million GB200 GPUs in one spot? Theoretically doable, but a mega-challenge—like building the world's largest data center ever! For context, today's biggest AI clusters are 10X smaller. This would dwarf that. Let's break it down: power, hardware, costs, & more. 💡

Power Requirements ⚡

  • Per GPU: ~1,200 W TDP (system-level).
  • Per rack: 120-132 kW (NVL72 config: XX CPUs + XX GPUs).
  • Racks needed: 2M GPUs ÷ XX = ~27,778 racks.
  • Total draw: XXXXXX × XXX kW = XXXX GW peak! 😲 (Or ~3.67 GW at XXX kW.)

That's like 3-4 nuclear reactors or power for 2.3M US homes. 📈 Assume 70-90% utilization in reality.

Supplying 3+ GW? You'd need grid ties or on-site generation (gas, nuclear, renewables + storage). Blackouts = disaster! 🚨Data centers negotiate custom deals, but grid strain is real.

Hardware Requirements & Costs 🛠️

  • Core: 2M Blackwell GPUs as 1M GB200 Superchips (1 CPU + X GPUs each).
  • Racks: XXXXXX NVL72 (w/ HBM3e up to XXXX TB/rack, NVLink for XXX TB/s).
  • Networking: NVLink switches + Ethernet/InfiniBand for inter-rack.
  • Cooling: Liquid-cooled mandatory 💧 (air won't cut it). Add chillers, pumps, CDUs—10-20% power overhead for cooling.
  • Per Superchip: $60k-70k.
  • Per rack: ~$3M (full setup).
  • Total: $83-100B! 💰 (~$70B for Superchips + $10-20B for racks/networking/cooling/install).

Economies of scale possible, but add 10-20% for shipping/spares. NVIDIA's production ramp: 450k-800k/qtr by early 2025—sourcing could take several years. ⏳

Electricity Costs 💸

  • Avg rate: ~8.15¢/kWh (US industrial; hyperscalers get 4-6¢/kWh deals).
  • Annual use: XXXX GW × XXXXX hrs = ~29.2B kWh (at XXX% uptime; real: 23-26B at 80-90%).
  • Annual cost: $2.3-2.4B at 8¢ (or $1.2-1.8B at 4-6¢). Monthly: $190-200M. Excludes fees/taxes—could add 20-50%. Rivals a large city's budget! 🏙️

Feasibility? Doable, but would take 3-5 yrs for build/permits/commissioning. Hurdles:

  • Land: ~55k-80k m² (13-20 acres) for compute; full site 100-200 acres (like an airport). 🏗️
  • Supply chain: Strains global fabs (TSMC 4NP process, 208B transistors/GPU pair).
  • Cooling/Env: Millions of gallons water/day; EPA approvals for heat/e-waste. 🌿
  • Regulatory/Grid: New lines or plants needed—utilities might balk.
  • Alternatives: Distribute sites for redundancy, but loses low-latency perks.

XXXXXX engagements

Engagements Line Chart

Related Topics xai hardware 10x coins ai the worlds chips jj

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