NVIDIA Jarvis

NVIDIA Jarvis

NVIDIA Jarvis

“Jarvis is a fully accelerated application framework for building multimodal conversational AI services that use an end-to-end deep learning pipeline. Developers at enterprises can easily fine-tune state-of-art-models on their data to achieve a deeper understanding of their specific context and optimize for inference to offer end-to-end real-time services that run in less than 300 milliseconds (ms) and delivers 7x higher throughput on GPUs compared with CPUs.

The Jarvis framework includes pre-trained conversational AI models, tools in the NVIDIA AI Toolkit, and optimized end-to-end services for speech, vision, and natural language understanding (NLU) tasks.

Fusing vision, audio, and other sensor inputs simultaneously provides capabilities such as multi-user, multi-context conversations in applications such as virtual assistants, multi-user diarization, and call center assistants.

Jarvis-based applications have been optimized to maximize performance on the NVIDIA EGX™ platform in the cloud, in the data center, and at the edge…”

Source: developer.nvidia.com/nvidia-jarvis

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