Acceleration and Security of AI and GenAI applications

Is your organization ready to handle the surge of AI workloads and GenAI usage and their specific characteristics?

AI workloads and GenAI have specific characteristics

Organizations build, train, deploy, and use AI models to transform their businesses. GenAI applications, AI workloads and training data are often distributed across multiple clouds, data centers, and enterprise network edges. In addition to the distributed nature of Gen AI and AI workloads, they have unique characteristics that can place tremendous demands on an organization’s network and are highly sensitive to adverse network conditions.

AI Workloads Acceleration: Perform, Secure and Observe

  • Data Collection and Preprocessing
  • Model Training and Inference
  • Model Evaluation and Validation
  • Generative Modeling
  • Model Deployment
  • Feedback and Model Retraining
  • Model Optimization: Hyperparameter Tuning

AI Workloads Characteristics

  • Data-intensive
  • Highly Iterative
  • Compute-intensive
  • Latency-sensitive
  • Efficient Scalability
  • Resource Diversity
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Why not rely on the Internet and siloed tools?

Connecting to AI workloads and GenAI applications over the Internet results in unpredictable performance and poor user experience. Large language models (LLMs) require massive amounts of data transfer and, consequently, massive amounts of bandwidth. The burden falls on the network to transfer this data, and when the network capacity falls short or is unreliable, it can harm the core function of the business. Correlating data and logs from diverse network security resources and GenAI clients offer limited views and introduce operational overhead.

The Aryaka Difference

Aryaka’s solution today provides AI and GenAI Acceleration that integrates public, private LLMs and multi-cloud GPU farms with a global deterministic private core network. While operating at the network layer enables us to see everything and aggregate data from multiple sources, be it the ANAP, VPN client, Proxy or cloud connectors. This comprehensive network visibility allows us to deliver AI-powered observability and better security outcomes for AI.

Why Customers Choose Aryaka

Unified visibility with single-pane dashboards

Improved User Experience

Colocation of Aryaka and AI providers significantly reduces latency and packet loss

Simplified Architecture

Compression and data de-duplication optimizes bandwidth usage

Fast Change Management

Predictive Analytics for proactive threat detection and prevention

Reduced Support Issues

Enhanced Detection accuracy with AI-powered systems

Aryaka’s Solution

Aryaka’s solutions, AI>perform and AI>Observe, are available today and integrated with Aryaka’s Unified SASE as a Service.

Aryaka’s AI>Observe: Translating Data into Security Insights

Talk to us about our Aryaka AI>Perform and Aryaka AI>Observe solutions and get you AI ready to maximize the benefits of your AI deployments

Enabling AI Transformation with Unified SASE as a Service

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Aryaka AI>Perform
Solution Brief

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Safely Delivering GenAI
Applications at Scale

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