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 192 physical cores change that equation — FFmpeg can spawn hundreds of parallel threads, cutting encode time by an order of magnitude.
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. Our NVMe Gen4 storage delivers 800,000 random IOPS and 7 GB/s sequential throughput — enough to keep a full EPYC server's encoder threads consistently fed, even when processing multiple simultaneous streams or large RAW video files.
For teams running distributed encoding pipelines, our KVM VPS fleet with hourly billing lets 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 at a fraction of cloud costs.
Why Voxa for Video Transcoding & Media Processing
Up to 256 CPU cores
Our Dual EPYC 9754 provides 256 physical cores at 2.3 GHz. FFmpeg scales almost linearly across cores for parallel encoding jobs.
NVMe Gen4 at 800k IOPS
Feed encoder threads without I/O stalls. 7 GB/s sequential read keeps even uncompressed video pipelines running at full speed.
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.
RAID-10 redundancy
Media assets are protected at the storage level. RAID-10 provides both redundancy and read performance — no single disk failure loses your work.