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Kaliper - Analytics

Analytics made simple

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NVIDIA’s latest release at CES, featuring the GeForce RTX SUPER desktop GPUs and the RTX 40 SUPER Series graphics cards, marks a notable step up from its previous models. Here’s a straightforward comparison:

• The new GeForce RTX 4080 SUPER is significantly faster than its predecessor, the RTX 3080 Ti GPU, especially in AI video and image processing. It’s 1.5 times faster for video and 1.7 times faster for images.
• These latest GPUs are much more powerful when it comes to AI tasks. They offer an AI performance that’s 20 to 60 times better than what you’d get with the older neural processing units. 
• They’re also embedding these powerful GPUs in laptops from big names like Acer, ASUS, Dell, and others. This means more people can access this high-level AI performance.
• Beyond the hardware, NVIDIA’s software tools like the TensorRT acceleration for the Stable Diffusion XL model and the AI Workbench toolkit give developers more accessibility to work with generative AI applications and PC model development.
• Finally, the TensorRT-LLM for Windows now supports more models for PCs, making NVIDIA’s offerings even more attractive. The latest update includes the Phi-2 model, which runs up to 5 times faster than other backends.

These newly introduced GPUs and graphics cards are designed to make AI applications work better on computers and other local devices.

NVIDIA is also working to simplify the use of Large Language Models (LLMs) like chatbots on personal computers. This is great news for businesses and individuals interested in AI chatbots. With NVIDIA’s technology, you can run these chatbots directly on your PC, avoiding cloud services. This not only saves money but also ensures faster response times and better data privacy.

Jensen Huang, NVIDIA’s CEO, said they are getting ready to release the AI Workbench, a tool to help developers make AI projects more easily. They’re also improving gaming with tools like RTX Remix and NVIDIA Avatar Cloud Engine (ACE) to update old games and create digital avatars.

He further unveiled that NVIDIA is also working on making text-to-image AI better with something called the NVIDIA TensorRT™ acceleration of the Stable Diffusion XL model. They’re making tools that help both developers and regular users. 

NVIDIA is also working to simplify the use of Large Language Models (LLMs) like chatbots on personal computers. This is great news for businesses and individuals interested in AI chatbots. With NVIDIA’s technology, you can run these chatbots directly on your PC, avoiding cloud services. This not only saves money but also ensures faster response times and better data privacy.

NVIDIA’s new AI technology, announced at CES, offers cost-saving benefits and has practical applications across various industries like finance, customer support, and document scanning.

In finance, the technology can analyse market trends and manage risk, reducing the need for expensive financial analysts. It can quickly process large volumes of data, identifying patterns that help in decision-making.

For customer support, this AI can power chatbots that handle queries efficiently, cutting down on staffing costs. These chatbots can provide instant responses, improving customer satisfaction while reducing the workload on human employees.

In document scanning, the AI’s ability to process and analyze large amounts of text swiftly makes it ideal for digitizing records. This speeds up data retrieval and reduces the costs associated with manual data entry and physical storage.

Overall, these advancements provide cost-effective solutions, enhancing efficiency and accuracy in these sectors.  The implications of these advancements extend beyond NVIDIA’s product line, indicating a broader trend in the tech industry towards more powerful, efficient, and user-friendly AI applications in everyday technology.

Sunny Kumar(sunny@kaliper.io)

Member of AI Research Team at Kaliper