In this paper, we focus on the exponential stability of stochastic differential equations driven by fractional Brownian motion (fBm) with Hurst parameter H ∈ (1/2, 1). Based on the generalized Itô formula and representation of the fBm, some sufficient conditions for exponential stability of a class of SDEs with additive fractional noise are given. Besides, we present a criterion on the exponential stability for the fractional Ornstein-Uhlenbeck process with Markov switching. A numerical example is provided to illustrate our results.1. Introduction. To characterize the continuous dynamical system changes with the discrete state, the following stochastic differential equations (SDEs) have been developedwhere {r t } t≥0 is a Markov chain taking values in S = {1, 2, ..., N } and {B t } t≥0 is a standard Brownian motion. The process {X t , r t } is called a switching diffusion or a diffusion with switching. In the past thirty years, stability of stochastic hybrid systems has been considered extensively. For example, Yuan and Mao [30] consider the moment exponential stability of stochastic hybrid delayed systems with Lévy noise in mean square. Mao [18] discusses the exponential stability of general nonlinear stochastic hybrid systems. Some sufficient conditions for asymptotic stability in distribution of SDEs with Markovian switching are given by Yuan and Mao [29]. Most recently, Tan [27] focuses on the exponential stability of fractional stochastic systems with distributed delay driven by fractional Brownian motion. There are lots of work having been dedicated to Markovian switching. See [24,3,7,17,32,23] and so forth. It is well known that if H > 1/2, {B H t } t≥0 exhibits long range dependence and self-similarity. Because of these properties, {B H t } t≥0 has been suggested as a useful tool in many fields, especially mathematical finance, network traffic analysis and pricing of weather derivatives. For example, fBm is used to model the dynamics of temperature in [6], and in [25], it is used to model the electricity prices in 2010 Mathematics Subject Classification. Primary: 60H10, 60G22; Secondary: 93E15, 93C30.