hfahmy

Nope, just data science and other work. Definitely no gaming, video editing or 3D modelling work.

@pyrojoe34, that spec is better for suited for my needs. I won't be using CUDA soon, may be sometime in the future. But I'll need 2 x HDMI out at least. So, what would you suggest for a GPU?

Thanks @Xineas, this is configuration is almost what I'm look for. Can you suggest the changes that would be required to this config if I want to upgrade the CPU to Intel® Core™ i7-6800K Processor (15M Cache)?

Yeah, I think this is where I should focus most. Thanks will have a look.

1. Budget & Location Budget is roughly 2,000 USD (can exceed somewhat if necessary). 2. Aim System will be used form mining, crunching, visualising and modelling large datasets. The software that I'm using is R with RStudio. As per my understanding, R doesn't rely on multicore to do its heavy work and doesn't look like thats going to change in the future. I might in the future move to Python, which doesn't out-of-the box rely on multicore as well. Currently I also use MS Excel every now and then to open large data dumps and make small tweaks here and there. 3. Monitors Two 24-inch LED monitors. 4. Peripherals System will be running Windows 10, no other special peripherals will be used as of now. 5. Current Setup At the moment, I'm working on a laptop with an Intel i5 (not sure about L3 cache size) with 8GB RAM and a 256 SSD. With this setup, the main bottlenecks in my workflow are mostly in having to wait for the data to load RAM and running some extensive calculations. I'm assuming that upgrading to an i7 with more cores would not yield much efficiency as R doesn't rely on multicore processing. Should I aim at increasing the CPU clock speed and increasing L3 cache size to make data transfer between RAM and processor more efficient? And any other specification that I should focus on to increase the efficiency?