Last week at NVIDIA GTC 2026, one message was clear: AI has moved beyond the training era and into the era of production inference. The conversation was no longer just about building faster chips and smarter models; it was about what it takes to run AI at scale with the latency, reliability, and economics real products demand. Reuters called it an “inference boom,” and even the CPU became part of ...
At GTC 2026, the emphasis on optimizing the full system (not just accelerators) for AI inference workloads demonstrates a shift from AI-as-novelty towards AI-as-infrastructure. The industry is recognizing the need to manage cost per token, time to first token, orchestration, and uptime alongside model quality. NVIDIA's announcement of the DigitalOcean Agentic Inference Cloud reflects this shift by offering a cohesive system designed to simplify deployment for AI builders.
The event also previewe...
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