PHPMem v2.0.1
Version
1.6.45
Uptime
7 days 14 hours 47 minutes 43 seconds
Memory
Total
512MB
Used
13,18MB (2.58%)
Free
498,82MB
Keys
Current
10 063
Total (since start)
11 096
Evictions
0
Reclaimed
194
Expired Unfetched
0
Evicted Unfetched
0
Connections
Current
3 / 1 024 max
Total
69 927
Rejected
0
llm:ee0a9f548a2311122fc140c355008967e38d24124c424eefdec3f1c821afda21
Edit
{
"action": "tool_call",
"reasoning": "I have strong evidence about US dominance, China's volume vs. capability gap, and the explosive 2024-2025 buildout. To find the MOST surprising finding, I should look for something that defies conventional wisdom. Let me check the energy efficiency dimension - one might expect newer, larger systems to be more efficient, but I should verify if there's a counterintuitive pattern. I'll also check if there are any unexpected leaders in efficiency or cost-effectiveness that aren't the usual suspects.",
"tool": "query_sql",
"args": {
"sql": "SELECT Name, Country, Owner, \"H100 equivalents\", \"Energy Efficiency\", \"Power Capacity (MW)\", \"First Operational Date\", ROUND(\"H100 equivalents\" / \"Power Capacity (MW)\", 2) as compute_per_mw FROM raw.ai_supercomputers WHERE \"Energy Efficiency\" IS NOT NULL AND \"Power Capacity (MW)\" IS NOT NULL ORDER BY \"Energy Efficiency\" DESC LIMIT 20",
"purpose": "Check if there's a counterintuitive pattern in energy efficiency - do the largest/newest systems have the best or worst efficiency? This could reveal a surprising finding about the tradeoff between scale and efficiency.",
"source": "raw"
}
}