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AI inference costs are projected to nearly double by 2026, reaching $42 billion. Many businesses are about to get blindsided by this shift. We at CTS have seen this coming for years – here’s how to prepare.
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AI cyber attacks are no longer theoretical; they’re actively compromising systems and exploiting vulnerabilities at unprecedented speeds. We’ve seen firsthand how quickly these new threats emerge.
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Your servers have a backdoor you didn’t know about. Critical server backdoor vulnerabilities in Baseboard Management Controllers (BMCs) are leaving enterprise networks exposed. Learn how to shut them down.
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Specialized AI chips promise efficiency, but they come with a major catch: inflexibility. We’ve seen this play out for decades with hardware lock-in, and AI is no different. Don’t get caught unaware.
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AI is everywhere, but choosing the right hardware can make or break your deployment. Is tying your AI model to custom silicon a brilliant move or a costly trap? We’ve seen this movie before.
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The average 55-day window for patching zero-day vulnerabilities has vanished. AI cybersecurity threats are now discovering and exploiting flaws in hours, not months. You need an autonomous defense.
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Your powerful GPUs are only as fast as the data you feed them. We’ve seen AI projects stall because businesses overlooked critical storage issues. Don’t let your investment in AI compute be wasted.
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A potential FCC ban on Chinese optical transceivers is sparking panic buying. We’ve seen this movie before, and businesses that wait will pay in both dollars and downtime. Here’s what you need to know.
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A “perfect 10” security flaw in Arista’s VeloCloud Orchestrator is actively being exploited, leaving many businesses’ SD-WAN exposed. This isn’t just a patch job; it’s a stark reminder of deeper network control plane issues.
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A recent Google Cloud outage exposed a critical vulnerability in cloud cluster resilience, impacting global businesses for over 10 hours. This wasn’t a hardware failure; it was a single configuration update. We’ve seen this pattern before, and you need to understand why.
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