How NVIDIA’s (NVDA) GB300 Benchmark Win Highlights the Memory Demands Behind Agentic AI

NVIDIA Corporation (NASDAQ:NVDA) is one of the fastest-growing high-bandwidth memory stocks to buy. A stronger topic fit came on June 12, 2026, when NVIDIA said its Blackwell Ultra GB300 NVL72 platform led the first AgentPerf benchmark from Artificial Analysis, running up to 20 times more agents per megawatt than an NVIDIA HGX H200 system. The update is relevant to HBM because agentic AI workloads are memory-hungry: they chain many model calls, tool calls, and long context windows, which increases pressure on both accelerator memory capacity and bandwidth.

NVIDIA said GB300 NVL72 connects 72 GPUs into a rack-scale system so large mixture-of-experts models can distribute execution efficiently, while its GB300 platform uses high-capacity HBM3E to support larger batch sizes and higher reasoning throughput. The benchmark angle also fits the company’s financial momentum. In fiscal Q1 2027, revenue rose 85% year over year, while Data Center revenue climbed 92%, showing how AI infrastructure demand continues to drive growth.

How NVIDIA’s (NVDA) GB300 Benchmark Win Highlights the Memory Demands Behind Agentic AI

NVIDIA Corporation (NASDAQ:NVDA) develops and sells GPUs, AI accelerators, networking products, systems, software platforms, and full-stack computing infrastructure for data centers, gaming, professional visualization, robotics, automotive, and edge AI markets.

While we acknowledge the risk and potential of NVDA as an investment, our conviction lies in the belief that some AI stocks hold greater promise for delivering higher returns and doing so within a shorter time frame. If you are looking for an AI stock that is more promising than NVDA and that has 10,000% upside potential, check out our report about the cheapest AI stock.

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