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Generative AI: Growth of Creative Applications Force Data Center Speed Hikes
In recent years, the development of generative artificial intelligence (AI) technologies — such as ChatGPT, Suno(1), and Udio — has sparked intense debates about their implications for creative fields like writing and music composition. ChatGPT can now generate various forms of content based on user requests, while Suno and Udio produce musical compositions. There are now AI-generated pop music videos — see the world’s first one at this YouTube link.
Technological advances are driving litigation, strikes and work stoppages, and adversarial union negotiations to establish protections for human creative contributors. While content creators are busy fearing technology advancements from the perspective of ownership, technology providers like APCON are embracing AI as a powerful — and inevitable — tool for augmenting human creativity.
The current hot-button question is this: How can data center IT teams maintain and improve NetOps/SecOps processes without compromising existing network infrastructures, adding additional network traffic tools into their IT environment that break the budget, or compromising data security?
If AI Hasn’t Impacted Your Data Centers, Change is Coming Soon
Considering the growing potential of AI-powered applications, data centers should plan to incorporate traffic monitoring and analysis into daily IT operations and network upgrade plans. Artificial intelligence is changing how organizations work, and this shift has critical ramifications for data centers.
Here are three key justifications for evaluating your network:
- Network Bandwidth: AI applications often involve real-time data processing and transfer. Data centers need to enhance their network bandwidth and enhance latency-fighting capabilities to support these high-speed requirements.
- Increased Demand for Scalable Compute Power: AI models, especially those involving deep learning, require substantial computing resources. This translates to higher demand for processing power, and prepared data centers will have a scalable and flexible infrastructure that can quickly adapt to evolving needs and support dynamic AI workloads.
- Security: As AI becomes more integral to business operations, ensuring the security of AI systems and the data they process is critical. Data centers need to implement strong security measures to safeguard the network against hidden threats like malicious code and other cyberattacks.
Simplifying AI Traffic for Actionable Network Improvements
As networks become saturated with high-volume data streams to support AI applications and services, NetOps and SecOps teams need answers that allow IT to drive continuous improvement projects that demonstrate deeper insights into network user trends, network performance, and organization-wide operational inefficiencies.
APCON’s hardware and software solutions help CIOs, CISOs, and other IT decision-makers address these challenges by ushering them into the future with full visibility of all data streams (including AI-driven packets) at up to 400G traffic speeds.
APCON’s IntellaView platform, for example, optimizes data for streamlined delivery to security, monitoring, and analytical tools (some of our favorites include the HyperEngine, the 400G EdgeSwitch, and 400G multi-port blades). AI-inclusive data architecture protects networks from dropped packets, simplifies the search for possible breaches, and safeguards business operations.
To gain more insight into APCON solutions that prepare data centers for the AI era, visit APCON.com. You can also follow our LinkedIn page for news content, polls, and event updates.
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