I don't see why a 10k row by 10k col of libsvm should take more than 60 secs, but I increased it to 120 secs since jenkins was failing.
I added normalize=0 to the kmeans bad_inits test but it still fails

I ran the 10k x 10k parse case on my machine and the time including summary was 20 secs

poll 1.0 http://192.168.0.34:54321/2/Progress2.json?job_key=%240301c0a8002232d4ffffffff%24_b7b89d92c0607c9ad49442f33bc7471d&destination_key=cL
[2014-09-02 20:37:22.928197] summary_page parameters: {'max_qbins': None, 'source': u'cL', 'cols': None, 'max_ncols': 10001}

B Trial # 2 rowCount: 10000 colCount: 10000 parse end on  syn_6814402659323599006_10000x10000.csv took 20.0690009594 seconds

sandbox/syn_datasets/syn_6814402659323599006_10000x10000.csv numCols: 10001, numRows: 10000, byteSize: 37604572
Merge branches 'master' and 'master' of github.com:0xdata/h2o
increased max_iter to 50 and added a check for it hitting the limit (iterations stop at 49 if max_iter=50)

test now gets
Exception: ('KMeans unexpectedly took %s iterations..which was the full amount allowed by max_iter %s', (49, 50))

which I think is related to why it doesn't get to the right center with this seed.