CPU vs GPU Transcoding What is Cheaper?

Why CPU Transcoding Beats GPU for Live Streaming

CPU-based video transcoding remains the most cost-effective and flexible solution for self-hosted live streaming — especially when using high-core processors such as AMD EPYC and Intel Xeon.

Real-World CPU Transcoding Power

A modern 64-core AMD EPYC 7002 series CPU (128 threads) can reliably transcode up to ~120 concurrent HD (1080p) live streams using efficient x264 presets. This makes EPYC-based servers one of the best price-per-stream solutions available for professional streaming platforms and transcoding farms.

CPU vs GPU Transcoding – What’s the Difference?

Live streaming platforms typically choose between CPU software encoding and GPU hardware acceleration. While GPUs can be fast, CPUs offer a superior balance of quality, flexibility, and cost — especially at scale.

Advantages of CPU Transcoding

  • Higher visual quality at the same bitrate using software x264 encoding
  • Fine-grained control over FFmpeg presets, bitrates, profiles, and keyframes
  • No GPU driver dependencies or hardware encoder limits
  • Runs on affordable, widely available server hardware
  • Predictable scaling as CPU cores increase

GPU Transcoding Limitations

  • Expensive GPU servers with limited availability
  • Hardware encoder stream limits on many GPUs
  • Lower quality per bitrate compared to tuned CPU encoding
  • Less flexibility for advanced FFmpeg tuning

How Many Streams Can a CPU Handle?

The number of streams a CPU can transcode depends on resolution, bitrate, and encoding presets. However, the following real-world estimates are typical for H.264 live streaming workloads.

CPU Cores / Threads Estimated HD Streams
Ryzen 5 / Core i56–10 / 12–164–6
Ryzen 9 / Xeon Silver12–16 / 24–328–14
Dual Xeon E5-2697A v432 / 6430–60
AMD EPYC 700264 / 12860–120+

CPU vs GPU Transcoding – Cost Per Stream

One of the biggest differences between CPU and GPU transcoding is cost per concurrent stream. The table below compares realistic real-world deployments.

Metric CPU Transcoding GPU Transcoding
Server CostLow (CPU-only servers)High (GPU premium)
Typical Monthly Cost€120–€200€300–€800+
Streams per Server30–120+5–20
Cost per Stream€1–€4€15–€40
Quality per BitrateHigherLower
ScalabilityLinearCapped

Estimates based on 1080p H.264 live streaming workloads using common FFmpeg presets.

Estimates assume 1080p H.264 transcoding with balanced presets.

Cheap CPU Servers for Transcoding

Because CPU-only servers are far cheaper than GPU instances, you can dramatically reduce streaming infrastructure costs.

One excellent source for high-core servers is:

👉 Geo Hosting

Example high-value server:

  • Superstar Suite
  • 2× Intel Xeon E5-2697A v4 (32 cores / 64 threads)
  • 64 GB ECC RAM
  • 2× 960 GB SSD
  • 10 Gbit uplink + Anti-DDoS
  • €180 / month

With a 10 Gbit port, network bandwidth is not a bottleneck — allowing the CPU to operate at full capacity for large-scale live streaming.

Why Xtranscoder Is Optimised for CPU Transcoding

Xtranscoder is designed around CPU-based FFmpeg workflows, allowing you to extract maximum value from modern multi-core processors.

  • Efficient default presets for quality vs performance
  • On-demand streaming to save CPU when streams aren’t viewed
  • Advanced FFmpeg tuning without command-line complexity
  • Scales linearly with additional CPU cores

For most professional streaming use-cases, CPU transcoding delivers the lowest cost per stream, the highest compatibility, and the most predictable scaling.

Get Started with Xtranscoder

Xtranscoder is purpose-built for high-density CPU-based live streaming. Deploy on your own server in minutes and scale with confidence.

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