NVIDIA has a new technology called Helix Parallelism that makes AI assistants much smarter and faster even when they have to deal with vast amounts of information.
The technology allows AI models to process as much information as entire encyclopedias or months’ worth of conversation history yet still respond to users in real time.
Today, AI assistants, such as those deployed in chatbots or virtual assistants, have to memorise and process a lot of data to provide good and coherent answers.
The larger models become, the more they run into problems. Their memory space becomes filled up and processing each new question or command takes an exceedingly long time, especially when many people are using the system at once. This can lead to slow responses and limit how useful such AI aides can be.
Helix Parallelism addresses these problems by dividing up the workload of the AI in a more intelligent manner. Rather than duplicating the same data multiple times for each task, wasting memory and time, it enables the various components of the AI model to share resources and collaborate more effectively. This is achieved through NVIDIA’s Blackwell GPUs, which employ fast connections and new computer technology to enable many chips to work together in concert.
The result is that Helix-based AI assistants can be utilised to serve 32 times more users concurrently without experiencing any slowdown, even while processing vast amounts of data.
Users will have faster response times, enabling real-time conversing with AI to be smoother and more natural. The innovation opens the door for AI to handle much larger workloads, which will unlock new opportunities in business, science and everyday life.
Entelechy Asia 