Kunal Anand, F5: Shaping AI-Optimized Networks and Enhancing Security
The evolution of AI applications has compelled significant changes in network infrastructure, mainly concerning latency and connectivity. As the deployment of AI on a grand scale raises newer challenges, industry analysts foresee AI-related traffic comprising a major part of overall network traffic imminently. It is imperative for the tech community to gear up for this surge in demand effectively. In this evolving landscape, F5 is advancing its capabilities to manage the complexities inherent in AI workloads. Their technology now incorporates real-time processing of multimodal data, a leap forward in handling AI growth.
Leading the charge is Kunal Anand, Chief Technology and AI Officer at F5, who identifies both the opportunities and risks AI presents to network security. The capability to enhance protection coexists with AI-driven cyber threats, urging a collaborative effort among hyperscalers, telcos, and tech companies to create AI-optimized networks. As collaboration and innovation reshape the AI networking arena, F5 is determined to contribute to this forward momentum.
Before the AI & Big Data Expo in Europe, Kunal Anand elaborates on F5’s role and initiatives crafted to lead in AI-enabled networking solutions.
AI News: As AI evolves, network infrastructure faces increasing demands. How is the industry addressing the latency and connectivity challenges posed by large-scale AI deployments?
Anand: At F5, we have found that AI has significantly transformed application architectures. Some enterprises invest heavily in ‘AI factories’ — massive GPU clusters — while others choose cloud solutions or Small Language Models (SLMs) for a cost-effective approach. Network architectures have evolved to address these challenges using unique networking stacks. As a result, the trend of data gravity has led to the development of multi-cloud architectures, facilitating workloads to integrate with data across various environments and support retrieval-augmented generation (RAG).
The increasing RAG demands result in higher latencies due to the resource limitations, like heavily accessed data stores or a limited number of GPU servers.
AI News: With analysts predicting AI-related traffic will soon form a large portion of network traffic, what unique challenges does this pose, and how is the industry preparing?
Anand: By the end of this decade, F5 anticipates most applications will incorporate AI features, requiring augmentation in network service chains. AI-related traffic is expected to dominate as APIs become the central link in this ecosystem, supporting communication with AI factories and third-party services. This transition calls for industry-wide preparation to manage the consequent traffic surge efficiently.
AI News: How is F5 adapting its technology to manage real-time processing of multimodal data efficiently?
Anand: F5 approaches this from multiple angles. For RAG, whether retrieving images, text, or binary streams, there remains a consistent method across data types. Customers need efficient Layer 4 load balancing and traffic steering, where F5 excels. We help organizations access data for RAG effectively by improving load balancing among AI factories.
Large organizations might manage clusters with thousands of GPUs with variable predictability. F5 ensures efficient traffic routing, addressing the unpredictability of AI workloads, ultimately improving performance and adding security features for AI factories and clusters.
AI News: AI presents both security enhancements and new AI-driven threats. What strategies is F5 implementing to counteract these challenges?
Anand: We're seeing attackers leverage AI to formulate novel cyber threats, such as cracking CAPTCHAs with visual transformers. As defenders, we must revise security models to effectively face these AI-driven threats. F5 is making substantial investments through its intelligence program, developing models supported by the AI Center of Excellence. Our AI data fabric, initiated earlier in the year, underpins model development and business applications, placing F5 in a strong position to tackle these emerging security issues.
AI News: How crucial are partnerships in crafting next-gen AI-optimized networks?
Anand: Collaborations are vital due to the intricate AI stack, encompassing power, data centers, hardware, servers, GPUs, and more. F5 prioritizes forming connections to support all critical aspects of AI infrastructure.
F5 is dedicated to evolving its technological platform. The AI Data Fabric, introduced this year, alongside the AI Center of Excellence, readies us for impending advancements. Anticipated partnerships will accelerate our progress, and the global momentum is thrilling. F5 is positioned uniquely to harness data insights, and we're excited to share forthcoming open-source contributions.
Ultimately, F5 is optimistic about the AI future. It's a revolutionary era, one of excitement and transformation in network technology.
As AI continues to shape the future, especially in network security and infrastructure, new methodologies in AI-driven storytelling and content creation are similarly unfolding.
The Future of AI in Video Content Creation
In today’s fast-paced digital world, video has become the most powerful medium for storytelling. Whether you're a content creator, or someone who simply loves to capture memories in motion, producing engaging videos is key to standing out online. However, traditional video production often requires time, money, and technical know-how that many people don’t have.
That’s where the power of the AI video generator truly shines.
With the rise of platforms like Dreamlux, AI tools are making it easier than ever to turn simple prompts or photos into polished, studio-style videos. From animations to smooth transitions and voiceovers, AI video generators are revolutionizing how we create content—making it more accessible and creative.
But AI doesn’t just stop at automation. It’s also unlocking new forms of artistic expression that weren’t possible before.
Step Into the World of the AI Paperman Effect
Among these creative breakthroughs is the AI Paperman Effect—a visual style that turns your subject into a flat, paper-like puppet, then gently removes them from the scene with a human hand. It’s subtle, symbolic, and incredibly powerful for storytelling.
Perfect for entertainment videos, emotional tributes, or social content with a twist, the Paperman Effect combines simplicity with symbolism to deliver a message that sticks. What once took hours of animation can now be created in minutes using a single photo and an AI-powered template.
Whether you're telling a personal story, creating a mini short film, or adding an artistic moment to your content, this effect gives you a whole new way to move people—literally and emotionally.
How to Use Dreamlux AI Paperman Effect for a Creative Video
Follow the steps below to create a symbolic AI-generated scene with Dreamlux.ai:
- Go to the official https://dreamlux.ai and click on "Templates"
- Select the "Free AI Paperman Effect" from the template list
- Upload a photo of the person you want to feature in the video
- Click "Create", and let the AI generate a scene where a hand removes the paper-style figure from the frame in seconds
Dreamlux helps you turn a single image into a powerful visual story. No animation skills, no editing software, just AI-powered creativity made simple.
