It has been discussed many times here. Don't be or get discouraged by the remarks of non-knowers. I provided you with a link that may give you a clue to the future of the Cell processor. Below is a snipet. To sum up, LBNL, after thorough testing, confirmed the processing power is 8x greater than any current processor of any company. STI (Sony, Toshiba, IBM) with minor modifications will be able to bring this to workstations. I am not sure if this means desktops, but since the two words are interchanged so often I am certain of its meaning. Please not the part about doubling the current effects of the processors' power.
"... The authors argue that Cell's three-level memory architecture, which decouples main memory accesses from computation and is explicitly managed by the software, provides several advantages over mainstream cache-based architectures. First, performance is more predictable, because the load time from an SPE's local store is constant. Second, long block transfers from off-chip DRAM can achieve a much higher percentage of memory bandwidth than individual cache-line loads. Finally, for predictable memory access patterns, communication and computation can be effectively overlapped by careful scheduling in software.
Overall results demonstrate the tremendous potential of the Cell architecture for scientific computations in terms of both raw performance and power efficiency," the authors wrote. While their current analysis uses hand-optimized code on a set of small scientific kernels, the results are striking. On average, Cell is eight times faster and at least eight times more power efficient than current Opteron and Itanium processors, despite the fact that Cell's peak double precision performance is fourteen times slower than its peak single precision performance. If Cell were to include at least one fully utilizable pipelined double precision floating point unit, as proposed in their Cell+ implementation, these speedups would easily double...."
Source: Lawrence Berkeley National Laboratory
http://www.cs.berkeley.edu/~samw/projects/cell/CF06.pdf