NVIDIA has delivered significant returns to investors over the past five years, outperforming the market by 49.63% on an annualized basis with an average annual return of 60.78%. The company currently commands a market capitalization of $5.01 trillion, reflecting its substantial growth trajectory during this period.

The performance highlights the impact of compounded returns on long-term equity investments. Based on a current price of $206.77, an initial investment of $100 in NVIDIA stock five years ago would have grown to $1,059.87 today.

NVIDIA’s 5-Year Performance Metrics

The following table details the key financial metrics illustrating NVIDIA's growth over the specified period:

The data underscores the potential for significant wealth accumulation through consistent market outperformance over longer time horizons.

DeepInfra, a purpose-built cloud platform for high-throughput AI inference, announced the results of an independent benchmark confirming the NVIDIA Vera CPU outperforms leading CPUs on agentic workloads. The study found the NVIDIA Vera CPU led by up to 2.2x against competitive CPUs from AMD and Intel, validating its design for the next iteration of AI infrastructure. This performance is critical for platforms like DeepInfra, which processes nearly five trillion tokens per week, with close to 30% driven by agentic systems.

The benchmark utilized DeepInfra’s production AI agent and real captured traffic under identical conditions. Key results indicate that the NVIDIA Vera CPU was the fastest of all four architectures tested in every workload category. It measured up to 2.2x faster orchestration than the x86 baseline, doubling NVIDIA’s published claim of 80% faster agentic CPU performance. Additionally, the CPU sustained up to 1.6x more concurrent agents at the same quality of service compared to competing chips.

Nikola Borisov, co-founder and CEO of DeepInfra, emphasized the infrastructure's tuning for production scale. "We have tuned every layer of it for cost, latency, and throughput at production scale," Borisov said. "NVIDIA is building for where AI workloads are headed, and we believe Vera is exactly the kind of hardware solution the next iteration demands."

Benchmark Results Overview

The testing revealed that on identical CPU partitions, the NVIDIA Vera CPU sustained 256 concurrent agents within strict response-time and error targets, versus 160–192 for the competing chips. Furthermore, with all 256 agents running at full load, the CPU’s leftover cores simultaneously served a 20-billion-parameter open-source model faster than an entire previous-generation CPU socket dedicated solely to that task, without slowing the agents.

Ian Finder, Director of Data Center CPU Products at NVIDIA, noted the importance of production validation. "Bringing Vera to market is an incredible opportunity, but performance is ultimately proven in production," Finder stated. DeepInfra has published a technical analysis detailing the full benchmark methodology and complete results.