Press release
Cadence Unveils Tensilica HiFi iQ DSP Purpose-Built for Next-Generation Voice AI and Audio Applications
Sixth-generation HiFi DSP delivers greater performance and energy efficiency for voice-based AI applications and the latest immersive audio formats SAN JOSE,
About this update from Cadence Design Systems, Inc.
[{"type":"text","content":"\nSixth-generation HiFi DSP delivers greater performance and energy efficiency for voice-based AI applications and the latest immersive audio formats\n\n\n SAN JOSE, Calif.--(BUSINESS WIRE)--\nCadence (Nasdaq: CDNS) today announced the Cadence® Tensilica® HiFi iQ DSP IP, the sixth generation of its highly successful HiFi DSP family, based on a new architecture purpose-built for next-generation voice AI and emerging immersive audio. As these applications proliferate in the home entertainment, automotive infotainment and smartphone markets, the HiFi iQ DSP delivers the performance and energy efficiency required to meet growing SoC computational demands. Compared to the industry-leading Tensilica HiFi 5s DSP, the HiFi iQ DSP offers 2X greater compute performance, 8X higher AI performance and more than 25% energy savings for most workloads—delivering over 40% performance uplift on numerous audio codecs.\n\nThis press release features multimedia. View the full release here: https://www.businesswire.com/news/home/20260121788959/en/As next-generation voice AI and emerging immersive audio applications proliferate in the home entertainment, automotive infotainment and smartphone markets, the Cadence Tensilica HiFi iQ DSP delivers the performance and energy efficiency required to meet growing SoC computational demands.\n“With the increased growth of AI across virtually every facet of the industry, audio and language have become critical interfaces for users,” said Anshel Sag, VP and principal analyst, Moor Insights and Strategy. “The AI performance and energy savings with Cadence’s new flagship Tensilica HiFi iQ DSP position it to enable future AI-enhanced applications and offload processing from other IPs.”\n\n\nA number of factors are driving the need for greater computation, including the need for richer experiences enabled by the latest immersive audio codecs, audio processing at higher sampling rates, object-based rendering, seamless natural language processing (NLP), and automotive road-noise cancellation (RNC). These usages require increased AI/ML capabilities and enhanced audio/voice pre- and post-processing functions, which demand more computations performed with low latency and low power for on-device processing in edge AI and physical AI applications. Since most of these designs are power constrained, increasing the core’s oper...