CNBC Television: Nvidia partner with Perplexity AI to run locally in DGX Spark.

**NVIDIA and Perplexity AI partner to bring AI processing to local hardware via the DGX Spark desktop device.** ## NVIDIA and Perplexity AI Announce Local AI Partnership NVIDIA and AI startup Perplexity have announced a new collaboration aimed at moving AI processing from the cloud to local devices. As reported by CNBC's Kate Rooney, the initiative pushes AI deployment directly to desktops, bypassing major cloud service providers. ## The DGX Spark: A Local AI Platform Perplexity announced what it calls the first full-stack AI platform capable of running locally on a desktop. The platform is designed to run on NVIDIA's desktop-sized AI computer, named **DGX Spark**. This hardware is built specifically for running large AI models on-site. Perplexity noted during the demo that more hardware partners will join the initiative in the future. ## Benefits: Cost Reduction and Data Privacy The primary value proposition is cost savings. By processing prompts and data locally on the machine instead of sending each request to a data center, the system aims to reduce **computation and token costs**—a major concern for CFOs. An additional benefit is enhanced **data privacy**, as sensitive data does not need to be sent to the cloud. ## Limitations and Hybrid Approach However, the local approach has clear limits. Perplexity specified that for tasks requiring more powerful "frontier reasoning" capabilities, the system will request user permission to still send some data to the cloud. Therefore, it does not operate entirely locally for all tasks. ## Initial Model and Ecosystem The local platform will first run on **Alibaba's open-source Tongyi Qianwen (Qwen)** model. An open-source model from NVIDIA will also be available soon. Perplexity is not alone in this space; the report notes that Apple, with its Mac Mini, and Microsoft are pursuing similar strategies that combine local hardware with AI. ## Performance and Competitive Landscape A key question remains around performance, as the most powerful AI models still require cloud-based processing. The Perplexity system's reliance on cloud offloading for complex tasks highlights this constraint. For NVIDIA, this partnership signals its effort to position itself across all areas of the AI ecosystem, including smaller, local hardware solutions. ## Acquisition Rumors The collaboration coincides with reports of potential acquisition talks. It is rumored that NVIDIA is considering purchasing Perplexity for approximately **$30 billion**. Neither company has commented on these reports, though their partnership is clearly deepening. ## OpenAI's Chip Claims and Cost Strategy In a related discussion, the segment addressed OpenAI's announcement of a new benchmark, claiming its **JALAPENO chip** outperforms NVIDIA's in performance and energy efficiency. Kate Rooney noted that OpenAI, like Amazon, has been trying to reduce dependency on NVIDIA. The move is partly framed as a cost-control measure, which is critical as the company considers its IPO and aims to protect profit margins. If OpenAI not only uses these chips internally but also sells them as custom semiconductors, it could represent a new business line, strengthening its IPO potential. Source: https://youtu.be/HqqalSHRWt8