We study the uniform convergence of the quadratic variation of Gaussia
n processes, taken over large families of curves in the parameter spac
e. A simple application of our main result shows that the quadratic va
riation of the Brownian sheet along all rays issuing from a point in [
0, 1]2 converges uniformly (with probability one) as long as the meshe
s of the partitions defining the quadratic variation do not decrease t
oo slowly. Another application shows that previous quadratic variation
results for Gaussian processes on [0, 1] actually hold uniformly over
large classes of partitioning sets.