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

How NVIDIA’s (NVDA) GB300 Benchmark Win Highlights the Memory Demands Behind Agentic AI Habib Ur Rehman Tue, June 23, 2026 at 6:09 PM GMT+2 1 min read NVDA 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.

NVIDIA (NVDA) Remains a Must-Own for Bernstein Despite Tech Sell-Off 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 potential of NVDA as an investment, we believe certain AI stocks offer greater upside potential and carry less downside risk. If you're looking for an extremely undervalued AI stock that also stands to benefit significantly from Trump-era tariffs and the onshoring trend, see our free report on the   best short-term AI stock .

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