If you're looking for a solution that marries AI with accelerated CAE simulation, Cadence could be a good choice. The company has a broad portfolio of tools and methodologies to improve electronic system design, including digital design, analog and custom IC design, and multiphysics analysis. Its AI-based products, such as Cadence.AI and Cerebrus Intelligent Chip Explorer, can accelerate design closure and performance optimization, and it's a good option for aerospace, automotive and hyperscale computing customers.
Another interesting option is Altair, which combines simulation, HPC, data analytics and AI to help customers innovate and make better decisions. Altair has features like AI-boosted simulation, physics-based prediction and generative design that can dramatically speed product development and cut waste. Its tools are geared for customers like automotive, aerospace and heavy equipment makers who can benefit from better performance and sustainability.
For companies that want to train and run generative AI models, Together offers a cloud-based platform to do so at a lower cost. It can handle a variety of models and offers scalable inference, too, so it's good for enterprise customers. With tools like Cocktail SGD and FlashAttention 2, Together can dramatically accelerate AI model training and inference, letting companies get AI solutions up and running faster and at lower cost.
Last, Abacus.AI offers an AI platform for training and running applied AI agents and systems at scale. With generative AI and other neural network techniques, Abacus.AI can be used to build large language model applications, AI agents for automation, predictive modeling and more. It's geared for companies that want to automate complex tasks, improve customer service and optimize operations with more advanced AI.