The Chip That Will Power The Future Of AI

Grace Hopper 200 

The GH200 chip, designed by Nvidia and fabricated at TSMC is a groundbreaking new chip that has the potential to disrupt the field of AI. With its incredible processing power and speed, the GH200 will allow AI to solve problems that were previously considered extremely difficult to resolve.  The GH200 runs all NVIDIA software stacks and platforms, including the NVIDIA HPC SDK, NVIDIA AI, and NVIDIA Omniverse, thus providing end to end solutions.

Datacentres

Before we look at the GH200 let's examine data centres. They are the facilities where our data is stored, processed, and distributed. Without data centres, our online lives would grind to a halt.  Data centres are massive facilities that house thousands of computers and storage devices. They require a lot of power, cooling, and security to keep everything running smoothly.
Data centres are essential for a wide range of businesses and organisations. They are used to power online transactions, email, social media, cloud computing, artificial intelligence, machine learning, scientific research, medical imaging, and financial trading.

The demand for data centres is growing rapidly as the amount of data we generate continues to explode. In 2020, the global data centre market was worth $530 billion. By 2025, it is expected to reach $1.2 trillion.

Data centres are the backbone of the modern world, and their future is very bright. They are essential for the digital economy and will continue to grow in importance in the years to come.  Data centres are the backbone of the modern world, and their future is very bright.. They are essential for the digital economy and will continue to grow in importance in the years to come.

GH200 - Ideal For Data Centres In The Age Of AI

The GH200 chip is basically made for data centres. It is designed for giant-scale AI and high-performance computing (HPC) applications that require high performance, large memory, and low power consumption.  The GH200 chip is not designed for personal computers or gaming consoles. It is a high-end chip that is only suitable for data centres that have the necessary resources to support it.

The GH200 chip is designed to be highly power-efficient. It eliminates the need for a traditional PCIe CPU-to-GPU connection by combining an NVIDIA Grace CPU with an NVIDIA Hopper GPU on the same package. This increases the bandwidth between the GPU and CPU by 7x compared with the latest PCIe technology. This makes the GH200 chip a highly efficient option for handling large-scale AI workloads.

The GH200 chip has up to 144 GB of HBM3E memory, which is more than enough for even the most demanding AI models. HBM3E, or High Bandwidth Memory 3 Extended, is the next generation of HBM3 memory and is ideal for high-performance computing and artificial intelligence applications such as supercomputers, data centres, and self-driving cars.

In comparison to other chips, the GH200 chip’s unique design and power-efficient architecture make it a strong contender in terms of power consumption and efficiency. Its ability to handle large-scale AI workloads while consuming less power than traditional architectures makes it a valuable asset for businesses looking to reduce their energy costs while still achieving high levels of performance.

Applications Across Industry

Some of the specific applications that the GH200 chip is well-suited for are listed below:

1. Large language models
2. Recommender systems
3. Vector databases
4. Natural language processing
5. Creation of virtual worlds
6. Computer vision
7. Drug discovery
8. Financial modelling
9. Weather forecasting

The GH200 chip is designed to handle complex AI and HPC workloads. It is created to help meet the surging demand for generative AI. It provides incredible compute capability to address the most demanding generative AI and HPC applications.

Forms Factors And Availability

The GH200 chip is in full production and set to power systems coming online worldwide to run complex AI and HPC workloads. The GH200-powered systems join more than 400 system configurations powered by different combinations of NVIDIA’s latest CPU, GPU, and DPU architectures — including NVIDIA Grace, NVIDIA Hopper, NVIDIA Ada Lovelace, and NVIDIA BlueField.

The GH200 chip is expected to be available in the second quarter of 2024. It will be available in a variety of form factors, including PCIe cards, servers, and accelerators. The price of the GH200 chip has not yet been announced.