Dell-NVIDIA Study: On-Prem AI Agents Cut Costs Up to 98% vs Frontier APIs at 16,000-Agent Scale
ryanshrout · x · 2026-09-14
A Signal65 report benchmarking agentic AI economics across eight Dell AI Factory with NVIDIA platforms models three agent workloads over two years, spanning 30B–120B parameter models and 26 concurrent agents on a desktop GB10 to 16,000+ on a PowerEdge XE9780 cluster. Savings vs AWS Bedrock reach 67% (server) and 89% (desktop); vs a leading frontier API, up to 93% and 98%. At the largest configuration, two-year savings hit $9.7M vs Bedrock and $68.8M vs the frontier API. Note: vendor-sponsored testing.
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