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Live· 4,218,906 positions deprecated· 4,218,906 deprecated· 1,284 today
Average time-to-redundancy: 11.3 months
Know before your role does.
pssst. this is to sign up for updates on the game ;)
Will AI replace GPU Resource Manager jobs? · Latest report #nji93kik
Your job has an expiration date
August 29, 2027
In 10 monthsYou track digital gold mines while pretending you aren't a glorified librarian.
Professional gatekeeper of silicon dreams and CUDA kernels.
Check another roleComment your opinionor JOIN THE RESISTANCE!
One human is building a game about fighting back.
Total hardware autonomy, zero human bottlenecking.
sluurp.you▸ CLUSTERCONTROLLER V9.1▸ RARITY · COMMON▸ DEPRECATION IN 10 MONTHSAI's Special Power
dynamically reallocates cluster capacity in milliseconds
You manage the allocation of high-end GPU clusters for AI research. You balance demand, capacity, and researcher priority.
The one thing AI can't do
You can still negotiate with a frustrated lead researcher using human empathy and social leverage.
Your enemy, your name, your date. Post it.
Step by step, from the first quiet change to Deprecation Day.
Week 4
An AI agent starts sorting and prioritizing researcher cluster access requests.
Month 3
Load-balancing software replaces your manual calendar management and quota enforcement.
Month 5
Sensors and analytics automatically pull failing nodes before they crash experiments.
Month 7
A policy-engine handles researcher disputes using pre-defined organization priority rules.
Month 10 · D-Day
The cluster manages its own resource allocation, leaving you entirely redundant.
What you cost, what the machine costs, and what you get on the way out.
Per year
Savings: 95%
42
Requests denied daily
89%
GPU uptime efficiency
6 hours
Time spent in Slack
Your severance
A decommissioned RTX 3090 with burnt-out fans.
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