{"slug": "nvidia-harnesses-vera-cpu-to-speed-up-design-of-next-generation-cpus-and-gpus", "title": "NVIDIA Harnesses Vera CPU to Speed Up Design of Next-Generation CPUs and GPUs", "summary": "NVIDIA is deploying its Vera CPU across electronic design automation (EDA) workflows used to develop next-generation CPUs and GPUs, collaborating with Cadence and Synopsys to optimize critical applications. Early testing shows up to 1.5x higher performance on selected workloads with Cadence Jasper and Synopsys VCS, aiming to accelerate chip design and production.", "body_md": "The complexity of modern chip design continues to grow as engineering teams work to develop increasingly sophisticated CPUs, GPUs and AI systems. To help meet that challenge, [NVIDIA is collaborating with industry leaders Cadence and Synopsys](https://nvidianews.nvidia.com/news/nvidia-expands-nvidia-agent-toolkit-with-nvidia-physicsnemo-and-cuda-x-libraries-to-transform-how-the-world-engineers-designs-and-builds) to optimize critical electronic design automation (EDA) applications for the NVIDIA Vera CPU.\n\nNVIDIA is now deploying Vera across EDA workflows used to develop its next generation of CPUs and GPUs, demonstrating how high-performance CPU architecture can help accelerate some of the industry’s most demanding engineering workloads.\n\n**Accelerating Critical EDA Workloads**\n\nWhat’s at stake is the pace of chip production. In turn, the tempo of industry technologies that stand to benefit from boosted EDA workloads, driving development momentum.\n\nSimulation, verification and implementation technologies play a central role in semiconductor development. Long before a chip reaches manufacturing, engineers spend years validating behavior, identifying corner cases and refining designs through thousands of iterations.\n\nWhile GPUs and AI have accelerated many aspects of chip design, several critical EDA workloads remain heavily dependent on CPU performance. Logic simulation, formal verification and portions of digital implementation often depend on fast individual cores, efficient memory systems and strong overall throughput.\n\nThat makes CPU architecture an important factor in determining how quickly engineering teams can validate designs, explore alternatives and move products toward tapeout.\n\n**Highlighting Early Results With ****Cadence**** and ****Synopsys**\n\nNVIDIA’s initial testing includes several leading EDA applications. The results highlight Vera’s ability to accelerate two of the most compute-intensive stages of modern chip design. Early testing on selected production-class workflows shows promising results.\n\nCadence Jasper, a formal verification platform, uses smart proof technology and machine learning to find and fix bugs and improve verification productivity early in the design cycle.\n\nSynopsys VCS, a high-performance functional verification solution used to simulate and validate complex chip designs before fabrication, used the same number of cores in the test.\n\nBoth applications showed up to 1.5x higher performance on selected workloads.\n\nBeyond benchmark results, NVIDIA is working closely with both companies on application profiling, software optimization and system-level tuning designed to improve engineering productivity across a broader range of workflows over time.\n\n**Bringing Vera to the Design Process**\n\nNVIDIA is deploying Vera throughout the EDA workflows used to create future NVIDIA processors.\n\nVera combines 88 custom NVIDIA Olympus CPU cores with a high-efficiency LPDDR5X memory subsystem and second generation NVIDIA Scalable Coherent Fabric designed to deliver strong per-core performance, high memory bandwidth and consistent low latency for demanding engineering applications.\n\nThese capabilities are particularly important for workloads that mix latency-sensitive jobs with large-scale regression testing across compute farms. Faster execution can shorten individual verification runs, while greater throughput enables engineers to evaluate more design alternatives and complete more validation within the same development window.\n\n**Going From RTL to Silicon**\n\nAfter defining a processor’s architecture and microarchitecture, engineers describe much of its behavior at the register-transfer level (RTL). Multiple verification and implementation technologies then work together to transform that design into manufacturable silicon.\n\nThese workflows span logic simulation, formal verification, regression testing and digital implementation, helping engineers validate functionality, identify corner cases and transform designs into manufacturable silicon.\n\nBecause these stages are interconnected, improvements in verification throughput can help organizations identify issues earlier and reduce costly downstream design iterations.\n\n**Building Future NVIDIA Chips With NVIDIA CPUs**\n\nThe deployment of Vera across NVIDIA’s own engineering workflows reflects a broader strategy: accelerate each workload with the compute architecture best suited to the task.\n\nIn EDA, GPUs and AI continue to speed many algorithms, while high-performance CPUs remain essential for critical simulation, verification and implementation workloads. Together, they help improve the performance of the overall design cycle.\n\nLooking ahead, NVIDIA plans to build on Vera with the next-generation Rosa CPU, powered by the NVIDIA Rigel core, while continuing to optimize leading EDA applications across its CPU roadmap.\n\nBy using NVIDIA CPUs to help design future NVIDIA CPUs and GPUs, the company is creating a continuous feedback loop between silicon design, software optimization and systems engineering, with each generation helping build the next.\n\n*Learn more about NVIDIA at **DAC 2026**.*", "url": "https://wpnews.pro/news/nvidia-harnesses-vera-cpu-to-speed-up-design-of-next-generation-cpus-and-gpus", "canonical_source": "https://blogs.nvidia.com/blog/vera-cpu-eda/", "published_at": "2026-07-27 00:45:42+00:00", "updated_at": "2026-07-27 01:06:49.672249+00:00", "lang": "en", "topics": ["ai-infrastructure", "ai-chips"], "entities": ["NVIDIA", "Cadence", "Synopsys", "Vera CPU", "Cadence Jasper", "Synopsys VCS", "NVIDIA Olympus CPU cores", "NVIDIA Scalable Coherent Fabric"], "alternates": {"html": "https://wpnews.pro/news/nvidia-harnesses-vera-cpu-to-speed-up-design-of-next-generation-cpus-and-gpus", "markdown": "https://wpnews.pro/news/nvidia-harnesses-vera-cpu-to-speed-up-design-of-next-generation-cpus-and-gpus.md", "text": "https://wpnews.pro/news/nvidia-harnesses-vera-cpu-to-speed-up-design-of-next-generation-cpus-and-gpus.txt", "jsonld": "https://wpnews.pro/news/nvidia-harnesses-vera-cpu-to-speed-up-design-of-next-generation-cpus-and-gpus.jsonld"}}