[{"data":1,"prerenderedAt":34},["ShallowReactive",2],{"maker-bmodel":3},[4],{"id":5,"name":6,"line":7,"ai":8,"cat":9,"year":10,"points":11,"comments":12,"rec":13,"s":14,"top":15,"kw":16,"maker":21,"domain":22,"tier":23,"attempts":24,"strip":25,"url":26,"mix":27,"praise":31,"objection":32,"sub":33},41203475,"Thunder Compute","Attaching to a virtual GPU over TCP",false,"infrastructure",2024,344,108,"curious",-0.08,5,[17,18,19,20],"remote gpu","gpu over network","cloud gpu","cuda","bmodel","thundercompute.com","legend",0,"5251005133211311553532343053333311531355","https:\u002F\u002Fwww.thundercompute.com\u002F",[28,29,24,30],16,38,19,"Useful for GPU-heavy dev work while keeping CPU instances cheap","Network latency and bandwidth make training impractical","remote gpu access",1793991293754]