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Edit 4K offline in DaVinci Resolve

Local proxies on your SSD, cloud originals, no cloud drive running in the background.

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Cloud drives break Resolve scrubbing

Scrubbing a 4K clip in Resolve means dozens of disk reads per second as the playhead jumps around the timeline. A cloud-mounted drive cannot keep up: every seek becomes a network round-trip, latency spikes freeze the scopes, the playhead stutters, and the session becomes unusable in cafes or on a mobile hotspot.

Resolve is especially demanding because the colour page re-reads frames constantly, node processing and stabilisation pull extra reads, and the Fairlight and Fusion pages add their own passes. A generic cloud drive that streams the whole file on every access, with no real random-access seeking, turns a smooth grade into a slideshow.

The usual workaround, generating Resolve optimized media or proxies locally, works but doubles the footprint on the SSD, and the moment the colourist travels or the laptop fills up, the project has to be rebuilt. What you actually want is local-speed media for the edit and the full-resolution 4K only at the final render.

Resolve sees local files, always

Once your proxies are generated by Sanbila in the cloud and cached on your SSD, Resolve reads them as ordinary local files. Scrubbing, JKL, compound clips, Fusion comps and stabilisation all work fully offline, because every read hits the SSD directly with no network round-trip per frame. Internet is needed only twice: once at import to upload the originals, and once at conform.

At conform, Smart Relink reads the project and switches the clips used on the timeline to the full-resolution originals, streamed back on demand, so the master renders from the real 4K rather than the proxy. Unused takes stay as light proxies, so a long documentary grades from a laptop without a 2 TB local copy.

For a travelling colourist this means grading 4K from a train or a plane with zero risk: pre-cache the proxies before you leave, and the whole edit and grade run with no connection at all until you are ready to render the master.

Local scrub performance

Reads hit your SSD directly. No network round-trip per frame.

Conform when ready

Re-link to originals only when you want to render master at full resolution.

Works on spotty Wi-Fi

Coffee shop, airport lounge, or a 4G tether all fine once proxies are cached.

Resolve 19 and 20 tested

Compatible with both current Resolve versions on macOS and Windows.

Sanbila by the numbers

Real specs from the live Sanbila product, not marketing claims.

4
NLEs supported (Premiere Pro, DaVinci Resolve, Final Cut Pro, Avid)
30
Proxy presets: from 540p H.264 to 1080p DNxHR LB
22
File formats supported (MP4, MOV, MXF, R3D, BRAW, WAV…)
up to 85%
Less disk space with proxies vs editing on the full-resolution originals
$0
Zero egress fees: stream originals at no extra cost
8
Parallel cloud connections on macOS (4 on Windows / Linux), 4 MB block cache

Frequently asked questions

Does a cloud drive slow down scrubbing in DaVinci Resolve?+

A generic cloud-mounted drive does, because Resolve seeks dozens of times a second and each seek becomes a network round-trip. Sanbila avoids this by caching light proxies on your SSD, so Resolve reads them as local files with no per-frame network latency. The full 4K only streams at conform, not while you scrub.

Can I grade 4K in Resolve with no internet?+

Yes, once the proxies are cached. The edit and grade, including the colour page, Fusion and stabilisation, all read from the local SSD and run fully offline. You only need a connection at import (to upload originals) and at conform (to stream the used originals back for the full-resolution master).

Does the master render from the proxy or the real 4K?+

From the real 4K. At conform, Smart Relink switches the clips on the timeline to the full-resolution originals streamed on demand, so DaVinci Resolve renders the master from the original sensor-quality footage, not the proxy you cut on.

Grade 4K on a flight

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Written by Lassana Toure, Founder of Sanbila.

Last updated: