OpenAI’s ChatGPT model was trained on a supercomputer called the Azure AI Supercomputer, which was built by Microsoft using tens of thousands of Nvidia A100 GPUs.
The Azure AI Supercomputer is a powerful computing infrastructure designed for large-scale artificial intelligence workloads. It is housed in Microsoft’s Azure cloud platform, and features over 285,000 CPU cores and over 10,000 GPUs, including the Nvidia A100.
The Nvidia A100 is a high-performance GPU. It was designed specifically for artificial intelligence and machine learning workloads. It features advanced tensor cores for deep learning acceleration, as well as high-bandwidth memory and fast interconnects for efficient data processing.
By utilizing the power of the Azure AI Supercomputer and the Nvidia A100 GPUs, OpenAI was able to train the ChatGPT model on an unprecedented scale, resulting in a highly advanced language model that is capable of generating human-like responses and engaging in a wide range of conversations.
Azure AI supercomputer
The Azure AI supercomputer, powered by NVIDIA Tesla V100 GPUs designed to help customers process and analyze massive amounts of data quickly.
The Azure AI supercomputer will deliver up to 180 teraflops (in average: trillion floating point operations per second) of performance on a single node with eight Tesla V100 GPUs. This fact is making it more than twice as fast as any other public cloud service available today. It can also scale out across multiple servers for even greater performance – up to 1 petaflop (quadrillion floating point operations per second) – enabling customers to run their most demanding workloads at scale on any size infrastructure they choose.
DLI
The NVIDIA Deep Learning Institute (DLI) is a global network of training and certification programs for developers, data scientists and students. All that people want to learn how to use deep learning to build intelligent applications.
The institute offers three primary components: a core curriculum; hands-on workshops; and certification exams. The core curriculum includes courses on deep learning for computer vision or natural language processing (NLP). It also includes reinforcement learning, graph analytics, robotics/autonomous vehicles and more. It is taught by industry experts in their respective fields. Hands-on workshops allow students the opportunity to develop real-world projects using the latest technologies from NVIDIA GPUs or other cloud services such as Microsoft Azure AI Supercomputer.
FOR GAMING:
Nvidia GeForce graphics cards are very popular for gaming due to their high-performance hardware. And don’t forget about software designed to deliver the best gaming experience possible. The key reasons of Nvidia GeForce graphics cards are a great choice for gaming:
- High Performance:
Nvidia GeForce graphics cards are designed for high-performance gaming, with powerful processors and large amounts of dedicated memory. This allows them to handle demanding games and high-end graphics with ease.
- Ray Tracing:
Nvidia’s RTX graphics cards support real-time ray tracing. It is a rendering technique that simulates the behavior of light in real-time. And as result – more realistic lighting, shadows, and reflections in games.
- DLSS:
Nvidia’s Deep Learning SuperSampling (DLSS) technology uses artificial intelligence to upscale lower-resolution images to higher resolutions in real-time. This allows games to run at higher frame rates while maintaining high visual quality.
- G-Sync:
Nvidia’s G-Sync technology synchronizes the monitor’s refresh rate with the graphics card’s output. And as result – a smoother and tear-free gaming experience.
- Game Ready Drivers:
Nvidia releases regular driver updates that are optimized for new games, providing gamers with the best possible performance and stability when playing the latest games.
Motion graphics services
Motion graphics services involve creating animated graphics, videos, and visual effects that can help convey information, tell a story, or promote a product or service. Motion graphics services with Explain Ninja:
- Explainer videos: These are short animated videos that explain a concept, product, or service in a simple and engaging way.
- Logo animations: This involves creating animated versions of logos or branding elements, which can be used as intro or outro elements in videos, presentations, or on websites.
- Infographics: This is the process of creating animated graphics that display complex data and information in a visually appealing and easy-to-understand format.
- Social media videos: Creating short, attention-grabbing videos for social media platforms such as Instagram, TikTok, and Facebook, which can help increase engagement and brand awareness.
- Title sequences: Creating animated opening sequences for films, TV shows, or online videos, which can set the tone and establish the mood of the content.
- Visual effects: Creating or adding special effects to video footage or images, such as explosions, particle effects, or 3D animation.
Motion graphics services can be a great way to enhance your visual content and create engaging and memorable experiences for your audience. Working with a professional motion graphics designer or agency can help ensure that your content is visually appealing, high-quality, and effective in achieving your goals.
So,
Nvidia’s supercomputer uses GPUs to power AI applications in the cloud. The company has been working on this technology for years, and it finally announced its first product: an AI supercomputer that can be used by developers and researchers to accelerate their work.
Microsoft Azure is a cloud platform that allows users to rent hardware resources such as servers or GPUs. It’s suitable for businesses who want to build their own applications using AI and machine learning technology without having to invest in costly hardware or software licenses upfront.
