NVIDIA Riva Reviews & Product Details

What I like best about NVIDIA Riva is its ability to deliver highly accurate, real-time speech recognition and text-to-speech while maintaining low latency and strong data privacy. Its support for on-premises deployment makes it especially valuable for organizations with strict security or compliance requirements. The platform’s GPU acceleration ensures excellent performance at scale, and the ability to customize models with domain-specific vocabulary significantly improves accuracy in real-world use cases. Overall, Riva stands out as a reliable, enterprise-ready solution for production speech AI applications. Review collected by and hosted on G2.com.

One downside of NVIDIA Riva is its heavy dependence on NVIDIA GPUs, which can make it costly to deploy and maintain, especially for smaller teams or organizations without existing GPU infrastructure. The setup and configuration process can also be complex, requiring solid knowledge of containers, Kubernetes, and NVIDIA’s software stack. Additionally, compared to some fully managed cloud speech services, Riva offers fewer out-of-the-box features and may require more customization effort to achieve similar functionality. Review collected by and hosted on G2.com.

NVIDIA Riva has proved to be very effective and efficient in both ASR and TTS. The solution is real-time, with negligible latency, hence suitable for applications that require fast responses. Review collected by and hosted on G2.com.

While powerful, setting up and configuring NVIDIA Riva can be daunting for the uninitiated. It requires deep knowledge in machine learning infrastructure and systems that are based on GPUs. Review collected by and hosted on G2.com.

It's a great AI platform that offers stunning performance and customization options for real-time, high-volume speech processing. You can automate most call transcriptions and hand them over to analysis, improving both agent and customer experience. It also allows live real-time captioning, a must-have for international events. Review collected by and hosted on G2.com.

There's a steep learning curve, and the GPU-based pricing model isn't suited for most people. Review collected by and hosted on G2.com.

Software advancements and cloud computing Review collected by and hosted on G2.com.

Everything because it helps with software analytics Review collected by and hosted on G2.com.

i have worked with various real time ai solutions but i am really impressed by nvidia riva on how well it handles the real time transcription with minimal latency we are talking milliseconds here not seconds, and the main important thing is i was able to maintain full control over my data which is crucial for our requirements, and how can i forget about GPU optimization it was pretty good well it do come from nvidia, but it does make a real difference in production. talking about customer support nvidia has really good customer support they were always available for us to help us out whenever we were stuck Review collected by and hosted on G2.com.

I dont have that much disliking about NVIDIA Riva but i do want to say about the documentation of NVIDIA Riva or any other NVIDIA documentation i sometimes find hard to understand the documentation as a beginer it takes some time to me to understand the doucmentation clearly, and initially setting components can be hard Review collected by and hosted on G2.com.

I use NVIDIA Riva to analyze contact center convrsation, and it work really well. Review collected by and hosted on G2.com.

In one of my projects, I tried using RIVA ASR with a front, but it didn’t transcribe the speech succesfuly. Review collected by and hosted on G2.com.

We can easily transalte real time conversation with the help of NVIDIA Riva, It is consist ofASR ( Automatic Speech Recognition ) and TTS ( Text To Speech ) technology, I use this tool very frequently.

The customer support is also very good. Review collected by and hosted on G2.com.

There is nothing to dislike in NVIDIA Riva cause it is a tool which should be used Review collected by and hosted on G2.com.

One thing I really like about it is the real-time speech AI applications. When I started using it over a year ago, I faced a few issues but the customer service was great to help me out. Apart from it, the toolkit makes it really easy to use. I have been using it for close to 2 years now, and it has been a great experience. Review collected by and hosted on G2.com.

One thing which I would like is more in application support for new users because the interface might be little technical for someone who is new. Review collected by and hosted on G2.com.

I use NVIDIA Riva for Analyzing contact centre conversations, it is great software. Review collected by and hosted on G2.com.

In one of my projects, I used RIVA ASR with frontend but failed to transcribe the speech. Review collected by and hosted on G2.com.

I like Riva for its low latency and high throughput, making it suitable for real-time applications. Review collected by and hosted on G2.com.

I find the initial setup and configuration to be complex, requiring a good understanding of AI and machine learning concepts. Review collected by and hosted on G2.com.