The AI won't just be helping humans make sense of what we're seeing, it will also use images from the $10 billion space telescope to better understand what it's looking for.

It’s said to be twice as powerful Nvidia’s Tesla V100

NVIDIA is better empowering green eco warriors with the cloud-based GPUs.

As AI takes the centerstage to new business ideas and powering data science needs, IT departments need to deploy AI at scale with powerful turnkey solutions necessary for easy design, deployment and support. Here’s how Dell and NVIDIA are joining forces to deliver this.

Last year's DGX-1 packed eight Tesla V100 GPUs, but the new DGX-2 supercomputer packs 16 Tesla V100 32GB NVLink GPU modules. How does it achieve that?

The NVIDIA Tesla V100 is now updated to sport denser memory chips, thus doubling the memory size.

Baidu and NVIDIA have announced their joint technology partnership, which aims to bring cutting-edge AI technology to cloud computing, self-driving vehicles and smart home assistants.

We're at the cusp of entering a new era, the coming of artificial intelligence (AI). It's no wonder NVIDIA's direction is to provide the most productive platform to enable and power deep learning, which is the heart of AI computing. Check out the new initiatives like a GPU designed for AI acceleration, a vision for an AI city, a robot simulator, GPU Cloud platform, a goal to train 100,000 developers to tackle deep learning and much more. Welcome to the AI revolution.

At GTC 2017, when NVIDIA debuted the crazy fast Volta-based Tesla V100 compute unit that can churn out 120 Tensor TFLOPS, they made sure to reserve the first batch for their DGX-1 supercomputers for a powerful boost.

NVIDIA debuts Volta architecture and unveils the Tesla V100 to usher in the era of AI. It is the first data center GPU focused on accelerating AI with 120 TFLOPs deep learning performance - 12x higher than its Pascal predecessor!