Reliable Training Data Paramount To AI Model Success


AI systems are increasingly being integrated into safety- and mission-critical applications ranging from automotive to health care and industrial IoT, stepping up the need for training data that is reliable, secure, and which is generated from trusted sources. AI activity is growing exponentially, as everybody tries to figure out how to apply it to their domain, application, or workload. In ... » read more

Digital Engineering Transforms Chips For The Future


The semiconductor industry stands at a critical turning point. With global semiconductor sales exceeding $600 billion last year, the need for the industry to scale has never been more apparent. As AI applications drive unprecedented requirements for processing capabilities, chip designers are turning to advanced simulation technologies to enable the digital engineering workflows that will sup... » read more

Best Practices to Optimize Infrastructure for Simulations


Our Best Practices Guide equips you with expert strategies for leveraging high-performance computing (HPC) to maximize Ansys workload efficiency and overcome common challenges. As simulation complexity increases, a robust computing infrastructure is essential for rapid and large-scale modeling. Modern HPC systems provide: High-core-count CPUs for superior memory and compute perfo... » read more

Blog Review: Aug. 6


Cadence's Shyam Sharma checks out key features of the LPDDR6 specification, including data transfer speeds that can reach up to 14.4Gbps, two sub-channels per device, metadata built into the data packets, and row hammer mitigation. Synopsys' Frank Malloy and Vincent van der Leest describe the essential role that a hardware root of trust plays in providing a secure foundation for all other se... » read more

Chip Industry Week in Review


The U.S. government announced new import tariff actions and deals this week, including: The EU: 15% tariff on most goods including semiconductors. According to the EU's president, the action excludes semiconductor equipment. Copper: 50% tariff on all imports of semi-finished copper products and intensive copper derivative products, effective Aug. 1, but raw input material is excluded. ... » read more

Blog Review: July 30


Siemens' John McMillan compares 2.5D and 3D-IC technologies and why choosing between them depends on the specific requirements of a product, such as power consumption, thermal constraints, form factor limitations, data bandwidth, and performance-per-watt targets. Cadence's Yeshavanth BN checks out changes in MIPI MPHY 6.0 that increase the data rate and improve the performance of next-genera... » read more

Blog Review: July 23


Synopsys' Vincent van der Leest and Mike Borza argue that hardware security is critical for providing the foundational trust, physical protection, and performance enhancements necessary to support software security and prevent leaks of sensitive data and cryptographic keys. Siemens' Shetha Nolke explains why stress matters so much in 3D-ICs and why evaluating it isn't as straightforward as i... » read more

Crisis Ahead: Power Consumption In AI Data Centers


AI data centers are consuming energy at roughly four times the rate that more electricity is being added to grids, setting the stage for fundamental shifts in where power is generated, where AI data centers are built, and much more efficient system, chip, and software architectures. The numbers are particularly striking for the United States and China, which are in a race to ramp up AI data ... » read more

Chip Industry Week in Review


The U.S. government will grant licenses to NVIDIA and AMD to again sell some AI chips — NVIDIA's H20 GPU and AMD's MI308 — to Chinese companies. TrendForce projects that the availability of NVIDIA chips, in particular, will create a surge in demand from Chinese AI firms and cloud service providers, and boost high-bandwidth memory (HBM) consumption. The move could raise China’s share of... » read more

Can Today’s Processor Architectures Be More Efficient?


For years, processors focused on performance, and that performance had little accountability to anything else. Performance still matters, but now it must be accountable to power. If small gains in performance result in disproportionate power gains, designers may need to discard such improvements in favor of more power-efficient ones. Although current architectures undergo a steady cadence of... » read more

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