Video transcoding is one of the most CPU-intensive workloads in existence. On consumer hardware or a low-core VPS, encoding a 4K video to multiple resolutions can take longer than the video itself. Our AMD EPYC 9000-series bare-metal servers with up to 256 physical cores change that equation — FFmpeg can spawn hundreds of parallel threads, cutting encode time dramatically.
I/O is often the bottleneck that a faster CPU can't fix. If your storage can't feed frames to the encoder fast enough, CPU cores sit idle waiting on reads. Every EPYC build ships with two 1 TB NVMe drives, and a 24-drive NVMe array is a checkout option — enough to keep a full EPYC server's encoder threads fed, even when processing several streams or large RAW video files.
For teams running distributed encoding pipelines, our KVM VPS with hourly billing let you scale worker nodes dynamically. Spin up 20 encoder nodes for a batch run overnight and tear them down in the morning. Combine with a dedicated server as the job scheduler and asset store for a complete self-managed media infrastructure.
Why Voxa for Video Transcoding & Media Processing
Up to 256 CPU cores
Our Dual EPYC 9754 provides 256 physical cores at a 2.25 GHz base. FFmpeg scales almost linearly across cores for parallel encoding jobs.
NVMe on every EPYC
Two 1 TB NVMe drives included, up to 24 at checkout. Feed encoder threads without waiting on storage.
Zero virtualization overhead
Bare-metal means every CPU cycle goes to your encode job — not to a hypervisor. For FFmpeg, this matters: x265/AV1 encoding is heavily CPU-bound.
Unmetered traffic
Deliver finished renditions without per-GB fees: every dedicated server ships with a guaranteed 1 Gbps unmetered port, with faster ports at checkout.