Here is some (4:3 "4K" upscaled) footage of me messing around in an empty level (the only level available) in Cellfactor: Combat Training (a demo version of the later Cellfactor: Revolution) using a high-end mid-2006 computer equipped with an Ageia PhysX physics processing unit (PPU). VirtualDub2 was used for audio capture (via Line In connector on an ASUS Sabertooth P67 motherboard) and video capture using an Epiphan DVI2USB 3.0 frame/video grabber. VirtualDub2 was also used for resizing (upscaling) the final capture (upscaled from 1024x768 pixels to 3200x2400 pixels). Not sure if the resizing was set entirely correctly but what the hell. The game's performance is pretty low, not because of the speed of the processor (which was stupidly fast for its time and its official retail availability would have been ever so slightly newer than the initial retail availability of the first Ageia PhysX cards) but rather due to the rendering performance of the X1900XT (which was ALSO stupidly fast in early-to-mid 2006) combined with the performance characteristics of the first X100 series of PhysX accelerator cards handling mass-physics in this game. It's VERY heavy on the physics simulation side, but it's clearly no slouch on rendering demands neither. Even if I could have probably gotten away with playing at something slightly higher than 1024x768 on this machine, I didn't want to risk reducing performance further. When playing with bots, however, performance drops even harder due to reasons I'm not 100% sure of. If there is enough interest, I can upload some gameplay of a bot match as well. Specifications of the computer used in the video: Intel D975XBX (Socket LGA775) motherboard (Rev. 301 modified to work with Conroe CPU voltage) Intel Core 2 Extreme X6800 2.93Ghz processor (engineering sample, QPHV, manufactured week 17 2006) ATI Radeon X1900XT (512MB) graphics card (GPU) Creative Labs Sound Blaster Audigy 2 (SB0240) sound card 2GBs of DDR2 SDRAM (800Mhz) Ageia PhysX (128MB, PCI) PPU card (Dell-branded OEM from early 2006) This video is part of: #GPUJune3 and #PPUJune