Nvidia Introduces Powerful New Chip for AI

Nvidia unveiled their new Grace Hopper (GH200) chip during?Siggraph 2023?on Tuesday, specifically crafted for powering artificial intelligence (AI) models. This move comes in response to mounting competition in the AI hardware arena from rivals such as AMD, Google, and Amazon.

At present, Nvidia stands as the dominant force in the AI chip market, capturing more than 80% of the market share by some estimates. The company’s expertise lies in graphics processing units (GPUs), which have emerged as the preferred choice for running large?AI models?that drive generative AI software like Google’s Bard and OpenAI’s ChatGPT. However, Nvidia’s GPU supply is running thin due to the intense demand from tech giants, cloud providers, and startups striving to develop their own AI models.

Nvidia’s freshly unveiled GH200 is engineered with a focus on inference due to its expanded memory capacity, which accommodates more substantial AI models on a single system. 英伟达 ’s VP, Ian Buck, conveyed during a discussion with analysts and reporters on Tuesday that the H100 boasts 80GB of memory, in contrast to the GH200’s 141GB. Furthermore, Nvidia has introduced a system that merges two GH200 chips into one computer, catering to even larger models.

The newly introduced chip inherits the same GPU found in Nvidia’s top-tier AI chip, the H100. What sets the GH200 apart is its coupling of this GPU with an impressive 141 gigabytes of state-of-the-art memory, alongside a potent 72-core ARM central processor.

Read more here on the?FS Studio Blog

Generative AI: Unleashing Sophisticated and Powerful Enterprise Applications

In the past three years, the number of venture capital firms investing in the generative AI sector has increased significantly. While ChatGPT technology has caught the attention of the public, it is only the beginning of what this field can achieve. Due to its potential to revolutionize various sectors, such as drug discovery, AI-based coding and AI software development, the capabilities of this technology are becoming more sophisticated.

Generative AI is expected to play a significant role in various sectors. Check out five examples?here.

The UK Needs More Robotics and Automation to Stay Competitive with Rest of the World

In 2021, the UK had over 24,000 industrial robots on the job, which is about 111 for every 10,000 workers. Despite the increasing number of robots, the country is still below the global average and ranks 24th in the world.? ASD Lighting PLC ’s case is a rare example of how the UK lags behind when it comes to the utilization of robots in the workplace.

Read more?here.

Synthetic Data Generation Market Size To Grow USD 3.5 Billion by 2031 at a CAGR of 35.8%

The market is expanding as a result of an increase in digitalization transformation across companies and an increase in the adoption of cutting-edge technologies like AI and ML. The market is also anticipated to benefit from lucrative growth prospects in the coming years due to the rise in demand for connected devices, IoT, and other technologies.

Read more at?Yahoo Finance.

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