
Ola Electric's factory in Tamil Nadu has a capacity of 10 million scooters per year, making it one of the largest electric scooter factories in the world. The company is also using a high degree of automation in its manufacturing process, which helps to improve quality and efficiency.

The SK Hynix 321 layer flash nand is a good example of a state-of-the-art design that was not developed in India. This design required a significant investment in R&D, as well as access to a strong talent pool and a developed ecosystem. Indian companies are still working to develop the capabilities they need to compete with the world's leading VLSI design companies.

The 1 TB per chip NAND flash memory is expected to be faster than previous generations of NAND. SK Hynix claims that it has a read speed of up to 1.6 gigabits per second (GB/s) and a write speed of up to 1.2 GB/s. This makes it suitable for applications that require high performance, such as high-end smartphones, servers, and data centers.

AI is likely to play an increasingly important role in VLSI design in the future. AI models can be used to automate many of the more routine tasks in VLSI design, freeing up engineers to focus on more complex and strategic work.

Discover how AMD plans to leverage India's talent, hire 3,000 engineers, and create an expansive design center, all while contributing to India's rise as a global technology hub.

The semiconductor shortage has been a major problem for the global economy for the past two years. However, there are signs that the shortage may be starting to ease. In this post, we will take a look at the latest developments in the semiconductor shortage and discuss what it means for the future.

The DIR-V program is a major initiative to boost India's semiconductor ecosystem. The program aims to create over 10,000 jobs in the next five years and make India a global leader in RISC-V design and manufacturing. The program will focus on three key areas: research and development, education and training, and industry collaboration.

The news of ChatGPT using NVIDIA GPUs was seen as a validation of NVIDIA's position as a leader in the AI chip market. ChatGPT is one of the most advanced LLMs in the world, and its use of NVIDIA GPUs showed that NVIDIA's chips were capable of handling the complex calculations required to train and run LLMs.

Diamond semiconductors are a promising new class of materials with a wide range of potential applications. However, the difficulty of slicing diamonds into thin wafers has limited their commercialization.

The program will be offered online and will cover a range of topics, including chip design and fabrication, advanced packaging, semiconductor materials, and embedded system design.