System Requirements
The table below shows the minimum requirements to use vMix Replay.
One Channel HD |
Four Channel HD / One Channel 4K |
Eight Channel HD / Two Channel 4K |
|
Operating System |
Windows 10 (64 bit only) |
Windows 10 (64 bit only) |
Windows 10 (64 bit only) |
CPU |
Quad Core 3.4 Ghz |
Six Core 3.6 Ghz |
18 Core 3.0 Ghz |
Memory |
8GB DDR4 |
8GB DDR4 |
16GB DDR4 |
Graphics Card |
NVIDIA GeForce GTX 1050 or higher |
NVIDIA GeForce GTX 1060 or higher |
NVIDIA GeForce GTX 1080 Ti or higher |
Storage |
Dedicated SSD for Replay 200GB and higher. |
Dedicated SSD for Replay 500GB and higher. 1TB recommended. |
NVME SSD with minimum 500MB/sec Read/Write. |
Storage Connection |
Internal SATA or M.2 only |
Internal SATA 3, M.2 or faster only. (M.2 recommended) |
M.2 only |
Instant Replay primarily works with cameras connected to a capture card.
This includes HDMI and SDI cameras connected to a capture card either via PCI Express, Thunderbolt or USB 3.0.
NDI sources can also be used with Instant Replay as long as they are in the same format as the current Replay Session.
Webcams, IP cameras, and other types of video sources are not directly supported.
To use these types of inputs, the "Output" camera option can be selected in the Instant Replay settings.
Output will capture everything that is currently playing to the output in vMix.
All cameras must have the same resolution.
Different frame rates are permitted as long as all cameras are sending Progressive or PsF video.
Frame rates will be converted by either duplicating or deleting frames to match the Replay Session frame rate.
High frame rates such as 120FPS or higher require specialised cameras and capture cards.
In particular the camera must support outputting at 120FPS or higher, as many cameras have recording support for high frame rates but do not actually output at this rate via the HDMI or SDI output.
CPU requirements also change for high frame rate sources, as a general rule 1x 120FPS is the equivalent of 2x 60FPS sources.
Note: Instant Replay and MultiCorder cannot be used at the same time.