In fact, your inequality can be given a probabilistic interpretation : written under the form
$$\sum_{x = 0}^n e^{-250} \frac{250^x}{x!} \ge \frac{1}{2},$$
the first $n$ for which this inequality is true has a name : it is the median of the Poisson distribution with parameter $\lambda=250$.
In this reference, we have a "bracketing result" saying that the median $\nu$ is such that :
$$\lambda - \ln(2) \le \nu \le \lambda+\tfrac13$$
giving here $\nu=\lambda=250.$
Confirmation by this SAGE program (SAGE language supports multiprecision), where $S$, once the for-loop has been completed, is the sum on the LHS of your initial inequality :
S=0
c=1 ; # increment
n=250
for k in range(n) :
S=S+c
c=250*c/(k+1)
show(S.n(30))
t=exp(250)/2
show(t.n(30))
Taking $n=250$ is
$$S \approx 1.8417173 \times 10^{108} < t \approx 1.8732273 \times 10^{108}$$
whereas, for $n=251$, it is :
$$S \approx 1.9362138\times 10^{108} > t \approx 1.8732273 \times 10^{108}$$