VFF - The signal in the noise
NewsTrending

Apple Taps Google, Nvidia for New Siri Launch

Read original
Share
Apple Taps Google, Nvidia for New Siri Launch

Apple plans to launch a redesigned Siri in September that will rely partly on Google's cloud infrastructure running Nvidia chips, according to sources familiar with the matter. While Apple intends to process most Siri functions on-device, certain operations will run on Google's servers. The arrangement represents a significant shift in how Apple handles AI processing for its flagship voice assistant.

  • Apple's new Siri launches in September with hybrid on-device and cloud processing
  • Google's cloud servers and Nvidia chips will handle portions of Siri workload
  • Apple prioritizes on-device processing but outsources some computational tasks
  • Partnership signals Apple's reliance on external infrastructure for AI capabilities

Siri has long lagged behind competitors like Google Assistant and Alexa in capability and responsiveness. This overhaul indicates Apple is taking AI assistant performance seriously and willing to use third-party cloud resources to deliver improvements. The September timeline suggests the company is moving quickly to close the gap with rivals.

The deal demonstrates how even the largest tech companies depend on specialized infrastructure providers like Google and Nvidia for AI workloads. It also shows Apple's strategic choice to balance privacy concerns with performance needs, outsourcing only specific functions rather than the entire assistant. This hybrid model may become a template for how major platforms handle computationally intensive AI tasks.

  • Apple acknowledges it cannot handle all Siri processing on-device and must leverage external cloud capacity
  • Google gains direct access to Apple's voice assistant traffic and user interaction data through the partnership
  • Nvidia's chips remain critical infrastructure for major tech companies' AI deployments
  • On-device AI processing has limits, forcing even privacy-focused companies to use cloud backends for complex tasks

Monitor whether the September launch meets Apple's performance targets and how users respond to the hybrid architecture. Track whether Apple discloses which specific Siri functions run on Google's servers, as this will indicate the scope of the outsourcing. Watch for any privacy or competitive concerns raised by regulators or competitors regarding data flowing through Google's infrastructure.

OneUpAI
OneUp Your Business. Get More Done. OneUp Your Business. Get More Done. OneUp Your Business. Get More Done.
Learn More
Share

Subscribe to the newsletter

The latest stories and analysis, delivered to your inbox.

Free. No spam. Unsubscribe any time.

Related stories

Meta Launches Muse Voice Transcribe Audio AI Model
TrendingModel Release

Meta Launches Muse Voice Transcribe Audio AI Model

Meta unveiled Muse Voice Transcribe, a new audio AI model that transcribes speech to text and segments audio by speaker. CEO Mark Zuckerberg announced the model on Threads, noting it was trained on more than 70 hours of audio data. The model represents Meta's continued push into audio AI capabilities alongside its existing generative AI portfolio.

by Jyoti Mann· The Information
Clipto hits $250M valuation on path to profitability
TrendingNews

Clipto hits $250M valuation on path to profitability

Clipto, a three-year-old AI startup that uses machine learning to search large video datasets, has reached a $250 million valuation after raising $15 million in new funding. The company achieved $15 million in annual recurring revenue and profitability before closing the round. The funding reflects investor confidence in AI-powered video search as a commercial tool for handling terabytes of media.

by Kate Park· TechCrunch AI
Google Launches Gemini 3.5 Transcribe with 85+ Language Support
TrendingModel Release

Google Launches Gemini 3.5 Transcribe with 85+ Language Support

Google has released Gemini 3.5 Transcribe, a new transcription model that automatically detects specialized jargon and supports more than 85 languages. The model represents an improvement over its predecessor, Chirp 3, with better multilingual performance and lower wording error rates. Users can edit transcriptions using voice commands. The release comes as Google continues to roll out updates to its Gemini Audio suite while the promised Gemini 3.5 Pro model remains unreleased since its June launch window.

by Jess Weatherbed· The Verge AI
Particle's Radar makes 130K podcasts searchable for AI

Particle's Radar makes 130K podcasts searchable for AI

Particle has launched a podcast intelligence platform called Radar that transcribes and analyzes over 130,000 podcasts, making their content searchable on the web and accessible to AI agents via API and MCP. The platform enables both human users and AI systems to query podcast conversations at scale. This addresses a significant gap in AI training data and search accessibility for audio content.

by Sarah Perez· TechCrunch AI