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← Encoding & Software
EncodingProduct LaunchAugust 27, 2026

Scalstrm HD channel transcoding density hits 110 streams per 1U

Scalstrm HD channel transcoding density hits 110 streams per 1U
Scalstrm

Scalstrm has announced a microservice-native platform designed to transcode 110 HD channels in a single 1U rack unit using NETINT video processing units. The company claims this architecture reduces total cost of ownership by 50% by optimizing power consumption and hardware density.

Key Takeaways

  • Hardware density reaches 110 HD channels per 1U server using purpose-built NETINT silicon.
  • Infrastructure optimization delivers an 80% reduction in power consumption and rack space requirements.
  • Total cost of ownership drops by 50% across hardware, power, cooling, and operational overhead budget lines.
  • Microservice-native software architecture eliminates legacy code bottlenecks to allow independent scaling of processing functions.

Why It Matters

The immediate implication is a shift in live video economics where infrastructure efficiency, rather than software licensing, dictates profitability. As North American data center vacancy hit a record low of 1.4% in 2025, streaming providers are increasingly competing with high-density AI workloads for expensive rack space and power. This high-density approach allows operators to maintain affordable redundancy and respond to rights opportunities faster without the lead times of provisioning new racks. Watch for whether competitors adopt similar specialized silicon integrations to counter the rising cost of standard commodity hardware deployments.

Additional Context

NETINT has positioned its video processing units as a direct alternative to GPU-based transcoding for high-density broadcast workloads. The company's Quadra T2 ASIC delivers hardware-accelerated H.264 and HEVC encoding at significantly lower power draw per stream compared to software-only approaches on general-purpose CPUs. At IBC 2025, NETINT showcased its Quadra T2U platform targeting cloud and broadcast operators seeking to reduce per-stream encoding costs while maintaining real-time performance for linear channel origination. That positioning aligns directly with Scalstrm's claim of 110 HD channels in a single rack unit, since the architecture depends on NETINT's silicon to achieve the density that commodity hardware cannot match.

The economics of high-density transcoding are becoming a competitive differentiator as data center costs climb and operators face pressure to expand channel lineups without proportional infrastructure spend. Harmonic reported in its Q2 2026 earnings that demand for its VOS360 cloud-native encoding platform grew 28% year over year, driven by operators launching FAST channels and sports streaming services that require rapid channel spin-up. Meanwhile, Bitmovin announced in March 2026 that its encoding platform had surpassed 1 billion monthly encoding minutes processed, signaling that cloud-based encoding volumes continue to scale even as on-premises density solutions like Scalstrm's target cost-sensitive linear broadcasters. The divergence between cloud and on-prem strategies is widening, with each camp citing different total cost of ownership models.

On the technical side, independent benchmarking of ASIC-based encoding continues to validate the density claims that vendors like Scalstrm and NETINT make. The Video Quality Experts Group published a comparative study in early 2026 showing that dedicated encoding ASICs achieved 3.2x higher channel density per watt than GPU-based transcoding for 1080p HEVC workloads, with quality scores within 0.3 dB of software reference encoders at equivalent bitrates. For operators evaluating Scalstrm's 110-channel claim, the key metric will be whether sustained real-world performance matches lab conditions across diverse content types, particularly sports and high-motion material where encoding complexity spikes. The broader trend toward specialized silicon for video processing, including Intel's discontinued Flex GPU line and AMD's Alveo MA35D, suggests that the market is consolidating around purpose-built acceleration rather than general-purpose compute for linear encoding workloads.


Read full article at scalstrm.com

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