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NVIDIA GB300 Dominates Agentic AI Workloads With 20x Performance Leap Over Hopper As Rubin Nears Launch

A close-up view of an NVIDIA circuit board featuring multiple processing units, mounted on a dark background.

NVIDIA's Blackwell GB300 has posted record performance in AA-AgentPerf, a new benchmark that measures Agentic AI workflows. NVIDIA Blackwell Ultra GB300 is 20 Times Faster Than Hopper In Agentic AI, Records Highest Performance In Latest Benchmarks Artificial Analysis has a new benchmark out called AA-AgentPerf, which measures how many active agents an inference deployment can support under realistic workloads, which include: The AA-AgentPerf benchmark is used to measure three key metrics, which form the basis of modern-day AI deployments, such as: NVIDIA is now publishing its first benchmarks in AgentPerf measures using DeepSeek V4 Pro on its GB300 NVL72 platform. […]

Read full article at https://wccftech.com/nvidia-gb300-dominates-agentic-ai-workloads-20x-performance-leap-over-hopper/

NVIDIA Wants Everyone To Rethink AI TCO, & Explains Why β€œCost Per Token” Is The Only Metric That Matters

NVIDIA Wants Everyone To Rethink AI TCO, & Explains Why "Cost Per Token" Is The Only Metric That Matters 1

As the AI industry enters the maturity phase, traditional terms have become outdated, which is why NVIDIA suggests that the new ways to think about AI TCO should be evaluated based on "Cost Per Token". NVIDIA Wants Everyone To Rethink AI TCO With "Cost Per Tokens" Metric Tokens are the single most important metric for AI. While yesterday's data centers were evaluated on their raw computing power, today's AI factories are evaluated on their token output. But it's not important for who does the most tokens, efficiency and cost are still the values that matter the most. That is why […]

Read full article at https://wccftech.com/nvidia-wants-everyone-to-rethink-ai-tco-explains-why-cost-per-token-is-the-only-metric-that-matters/

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