CrossValidation using glmnet and very high values of Lambda?
I don‘t think a large lambda is a problem per se. It just means that a lot of regularization is going on (under Ridge). See here:

https://stats.stackexchange.com/questions/212056/ridge-lasso-lambda-greater-than-1

Here is a good tutorial from the authors of glmnet. I suggest you check your approach, i.e by looking at various figures as shown in the tutorial, especially plot(cvfit) might be instructive. Also when you go through the tutorial, you see quite „large“ values of lambda (note that log of lambda is plotted). 

https://web.stanford.edu/~hastie/glmnet/glmnet_alpha.html