We are happy to announce
When it comes to running AI based voice enhancement workloads (such as noise suppression) in the cloud, the main challenge is:
How do we scale it to 100K+ concurrent streams in a cost-efficient way and meet the latency constraints for real-time communications?
Fortunately, NVIDIA is innovating in this space rapidly and has launched an important product lately – NVIDIA T4 GPU.
T4 (similar to V100) GPU is based on Tensor Cores and enables high-performance computing while still being highly power-efficient and cost-effective.
The right diagram below shows how many concurrent streams different GPUs can process with 2Hz Noise Suppression technology:
The left part of the diagram shows how well 2Hz technology performs against 3GPP voice quality and noise suppression benchmarks.
This is an amazing result given the price and power-efficiency of T4 GPU.
“Network and commercial service providers have been eager to deploy our solution to improve the voice calling experience across their customer base. NVIDIA T4 and V100 GPUs make it possible to deploy such technologies cost-effectively at scale”Davit Baghdasaryan, CEO of 2Hz
Key Features of 2Hz technology when deployed in the cloud:
- Unsurpassed voice quality
- Low latency
- Supports bidirectional traffic
- Codec and transport independent
deviceand call originatonindependent
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