Currentlybeing a photographer I am only dipping me feet in video, therefore keeping costs down and looking to upgrade my GPU.
I’ve been through the Configuration Guide for Davinci Resolve and found it lacking information
for light-to-medium users of this great software
. I appreciate that it’s primarily an industry standard software aimed at professionals doing heavy grading on a daily basis and configuration recommendations of High End GPUs such as GTX 770 4GB and above are made accordingly.
Current System – i5 760 Quad Core, Radeon HD 6670 1GB, 12GB RAM, 3x SSD, 2x HDD, 5Diii + MagicLantern for RAW HD
Looking for – used GTX 760 (£100), used GTX 770 (£150, power hungry), GTX 960 (£170). Add a premium of £30-£40 or so for 4GB VRAM option for all these.
Aiming for – I am nowhere near doing 4K raw. When I do get there, if I can afford a 4K raw camera, I can easily pick up a GTX 980 or 980ti. Currently looking to do Compressed HD and RAW HD (with compressed 4K on newer mirrorless cameras as optional) for the next year or so on a budget. Aim is to produced self initiated short film projects. I would appreciate any help on questions based on these requirements below:
1. Do HD resolution projects still peak at 2GB VRAM usage and 4K resolution at above 4GB VRAM? I gathered this information from various other threads on here - viewtopic.php?f=3&t=8101. This was 3 years ago and wondering if this is still applicable.
2. Following the above, does limiting the timeline resolution of a 4K project to HD resolution allow a user to comfortably use a GPU with 2GB VRAM only for editing and grading? Does this then involves extra caching to disk (which I don’t mind at all) or does Resolve read 1/4th the pixels only from source footage?
3. How does the Delivery tab utilize GPU memory? Does the infamous ‘GPU Memory is full’ message (for smaller, light users like me on smaller GPUs) only appear in Editing/Colour tab or does it show up when delivering 4K projects at source resolution even if they have been edited and graded at an HD timeline resolution? I do understand resolve is resolution independent with respect to timeline resolution.
4. New GTX 900 series based on Maxwell architecture has smaller memory bit width and less CUDA cores across the whole range when compared to the previous 700 series and consequently considerably less memory bandwidth too - though with compression technologies performs better. How do these impact DaVinci Resolve? The reason I ask is I have seen in another thread on the message boards here Peter Chamberlain from Blackmagic recommending a GTX 780 over a GTX 980 - viewtopic.php?f=21&t=27335. There is another thread where simply 480, 580, 680 are recommended and x70 are classified as having lower performance. Is a GTX 670 or a 770 a lower choice than 480? In external message boards users often find GTX 580 outperforms all 600 and 700 series GPUs. How is it so? Is Memory Bandwidth in older GPUs more important for DaVinci Resolve than more efficient CUDA, compressed Memory bandwidth utilization?
Comparing the GPUs I am looking at for instance, on paper GTX 960 looks underequipped but actually marginally outperforms 760 when gaming:
GTX 760 – 1152 CUDA Cores, 980MHz, 256bit, 192GB/s Mem Bandwidth
GTX 770 – 1536 CUDA Cores, 1046MHz, 256bit, 224GB/s Mem Bandwidth
GTX 960 – 1024 CUDA Cores, 1127MHz, 128bit, 112GB/s Mem Bandwidth
5. I am sure there are internal benchmarks run on various GPUs using various standardized processes (controlled footage, varying GPUs, varying footage format, varying grades etc) to ascertain various performance and quality control issues when optimizing DaVinci Resolve software during its continuous development lifecycle. Is there a strategic reason as to why this are (or at least a summary) not published in the config guide or elsewhere? This would make the decision making process on the consumers part a lot easier and would again save a lot of back and forth on the end users part on message boards save an incredible amount of time and headache.
Would greatly appreciate any help on all of the above. Many Thanks and I look forward to upgrading to URSA Mini in the future (approx 1 years time) - I think it is an absolutely fantastic camera for its price.
Paul Sangha
I’ve been through the Configuration Guide for Davinci Resolve and found it lacking information
Current System – i5 760 Quad Core, Radeon HD 6670 1GB, 12GB RAM, 3x SSD, 2x HDD, 5Diii + MagicLantern for RAW HD
Looking for – used GTX 760 (£100), used GTX 770 (£150, power hungry), GTX 960 (£170). Add a premium of £30-£40 or so for 4GB VRAM option for all these.
Aiming for – I am nowhere near doing 4K raw. When I do get there, if I can afford a 4K raw camera, I can easily pick up a GTX 980 or 980ti. Currently looking to do Compressed HD and RAW HD (with compressed 4K on newer mirrorless cameras as optional) for the next year or so on a budget. Aim is to produced self initiated short film projects. I would appreciate any help on questions based on these requirements below:
1. Do HD resolution projects still peak at 2GB VRAM usage and 4K resolution at above 4GB VRAM? I gathered this information from various other threads on here - viewtopic.php?f=3&t=8101. This was 3 years ago and wondering if this is still applicable.
2. Following the above, does limiting the timeline resolution of a 4K project to HD resolution allow a user to comfortably use a GPU with 2GB VRAM only for editing and grading? Does this then involves extra caching to disk (which I don’t mind at all) or does Resolve read 1/4th the pixels only from source footage?
3. How does the Delivery tab utilize GPU memory? Does the infamous ‘GPU Memory is full’ message (for smaller, light users like me on smaller GPUs) only appear in Editing/Colour tab or does it show up when delivering 4K projects at source resolution even if they have been edited and graded at an HD timeline resolution? I do understand resolve is resolution independent with respect to timeline resolution.
4. New GTX 900 series based on Maxwell architecture has smaller memory bit width and less CUDA cores across the whole range when compared to the previous 700 series and consequently considerably less memory bandwidth too - though with compression technologies performs better. How do these impact DaVinci Resolve? The reason I ask is I have seen in another thread on the message boards here Peter Chamberlain from Blackmagic recommending a GTX 780 over a GTX 980 - viewtopic.php?f=21&t=27335. There is another thread where simply 480, 580, 680 are recommended and x70 are classified as having lower performance. Is a GTX 670 or a 770 a lower choice than 480? In external message boards users often find GTX 580 outperforms all 600 and 700 series GPUs. How is it so? Is Memory Bandwidth in older GPUs more important for DaVinci Resolve than more efficient CUDA, compressed Memory bandwidth utilization?
Comparing the GPUs I am looking at for instance, on paper GTX 960 looks underequipped but actually marginally outperforms 760 when gaming:
GTX 760 – 1152 CUDA Cores, 980MHz, 256bit, 192GB/s Mem Bandwidth
GTX 770 – 1536 CUDA Cores, 1046MHz, 256bit, 224GB/s Mem Bandwidth
GTX 960 – 1024 CUDA Cores, 1127MHz, 128bit, 112GB/s Mem Bandwidth
5. I am sure there are internal benchmarks run on various GPUs using various standardized processes (controlled footage, varying GPUs, varying footage format, varying grades etc) to ascertain various performance and quality control issues when optimizing DaVinci Resolve software during its continuous development lifecycle. Is there a strategic reason as to why this are (or at least a summary) not published in the config guide or elsewhere? This would make the decision making process on the consumers part a lot easier and would again save a lot of back and forth on the end users part on message boards save an incredible amount of time and headache.
Would greatly appreciate any help on all of the above. Many Thanks and I look forward to upgrading to URSA Mini in the future (approx 1 years time) - I think it is an absolutely fantastic camera for its price.
Paul Sangha
Last edited by Paul Sangha on Thu Jun 11, 2015 12:59 am, edited 1 time in total.
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