Perplexity, NVIDIA Bring Local AI Tools for Better Data Privacy

In August 2026, Perplexity, in partnership with NVIDIA, launched locally run AI tools to users through a new feature called Portable Computer. The tool is designed to run AI agents directly on a user’s device, thus reducing the need to send sensitive information to cloud servers. The Portable Computer provides AI agents, tools, and code execution on local hardware. The aim is to enable greater control over personal information when performing AI-assisted tasks without the need for uploading data to external servers. Currently, the application requires advanced NVIDIA hardware along with Linux support, but a Windows version is expected to arrive soon.

Perplexity’s announcement further states that the Portable Computer initially runs on NVIDIA DGX Spark and will soon run on NVIDIA RTX GPU PCs. The system supports Qwen 3.8 27B and PPLX 27B. NVIDIA Nemotron 3.5 Lightning is also coming to the model picker. The first release is available to Pro and Max subscribers on NVIDIA DGX Spark.

This partnership between Perplexity and NVIDIA highlights a broader push towards local AI processing. Running AI models directly on devices can offer greater data control and reduce reliance on cloud infrastructure. For users without powerful NVIDIA hardware, conventional cloud-based AI services remain the more practical option. 

Impact on the ICT Market

The computer's portability allows running AI agents locally without relying on cloud services. This can be an advantage for professionals who work with confidential files or data, as information does not need to be uploaded to the cloud to complete the job if the task does not require cloud services. In addition, the device enables code execution and the use of various tools. If the job requires cloud services, the application asks the user for permission before uploading information to the cloud.

This way, the user can choose whether to upload data to the cloud. Such an approach is particularly relevant today in light of privacy concerns about AI agents performing more complex tasks involving personal and professional data.

Impact on the Cloud Infrastructure Services Market

The global cloud infrastructure services market size accounted for USD 166.51 billion in 2025 and is predicted to increase from USD 194.82 billion in 2026 to approximately USD 766.57 billion by 2035, expanding at a CAGR of 16.50 % from 2026 to 2035.

According to Precedence Research, the market is driven by growing adoption of artificial intelligence, increasing demand for scalable computing, and rising enterprise digital transformation. Cloud providers invest heavily in security measures and compliance certifications. This enhances data protection, access control, and regulatory compliance, addressing concerns related to the security of sensitive information and ensuring adherence to industry-specific regulations.

The expanding landscape of edge computing is also helping to create significant opportunities for the cloud infrastructure services market. As edge computing gains prominence, there is a growing need for decentralized infrastructure that brings computational power closer to data sources. Cloud infrastructure services can now capitalize on this trend by developing solutions tailored to edge environments. Offering scalable and flexible resources for processing data at the edge allows businesses to optimize performance, reduce latency, and enhance overall efficiency. Cloud providers that strategically position themselves to meet the demands of edge computing scenarios can unlock new revenue streams and cater to industries requiring real-time data processing capabilities.

Impact on the AI in Cybersecurity Market

The global artificial intelligence (AI) in cybersecurity market size accounted for USD 29.64 billion in 2025 and is predicted to increase from USD 35.40 billion in 2026 to approximately USD 167.77 billion by 2035, representing a CAGR of 18.93% from 2026 to 2035.

According to Precedence Research, several cybercriminal enterprises have already invested in automation, machine learning, and AI to introduce large-scale, directed cyberattacks against companies as the number of threats and the risk of ransomware attacks continue to increase all over the world. The growing number of cyberattacks targeting high-tech firms, defense organizations, and government agencies further highlights the demand for sophisticated AI-driven solutions. Such advancements aim to address evolving challenges in securing sensitive data and critical infrastructure.

AI also plays a vital role in the market by facilitating the proliferation of 5G technology and the rising demand for cloud-based security solutions among small and medium-sized organizations. Artificial intelligence in cybersecurity is currently gaining popularity to secure information. Because end users are anticipated to embrace AI in cybersecurity to address security concerns and spot new types of attacks that can occur at any time, the market for artificial intelligence in cybersecurity is growing quite steadily.