The Nvidia Volta graphics architecture

Nvidia Volta release date
Early 2018 seems like the most likely release for Volta-based gaming cards, despite some rumour-mongers suggesting a release late this year.

Nvidia Volta specs
The professional-class Volta – the Tesla V100 – uses TSMC's 12nm FinFET design and the full GV100 GPU has 5,376 CUDA cores. Imagine a GTX 2080 Ti with that.

Nvidia Volta price
Don't shoot the messenger, but it's possible the consumer Volta cards will push
prices up again. $699 for the GTX 2080? Not beyond the realms of possibility...

Nvidia Volta performance
We're too early in the release cycle for there to be any performance figures flying around, but we're hoping for greater efficiency and better with DX12 and Vulkan.

The Nvidia Volta graphics architecture is the next big thing coming out of the green team’s GPU skunkworks and has just had its first chip, the V100 officially unveiled. It’s the silicon successor to the Pascal generation of graphics cards, recently rounded off by the GTX 1080 Ti and Titan Xp.

640 Tensor Cores
An Exponential Leap in Performance

Every industry needs AI, and with this massive leap forward in speed, AI can now be applied to every industry. Equipped with 640 Tensor Cores, Volta delivers over 100 Teraflops per second (TFLOPS) of deep learning performance, over a 5X increase compared to prior generation NVIDIA Pascal™ architecture.

New GPU Architecture
Engineered for the Modern Computer

Humanity’s greatest challenges will require the most powerful computing engine for both computational and data science. With over 21 billion transistors, Volta is the most powerful GPU architecture the world has ever seen. It pairs NVIDIA® CUDA® and Tensor Cores to deliver the performance of an AI supercomputer in a GPU.

Next Generation NVLink
Scalability for Rapid Time-to-Solution

Volta uses next generation revolutionary NVIDIA NVLink™ high-speed interconnect technology. This delivers 2X the throughput, compared to the previous generation of NVLink. This enables more advanced model and data parallel approaches for strong scaling to achieve the absolute highest application performance.

Volta-Optimized Software
GPU-Accelerated Frameworks and Applications

Data scientists are often forced to make trade-offs between model accuracy and longer run-times. With Volta-optimized CUDA and NVIDIA Deep Learning SDK libraries like cuDNN, NCCL, and TensorRT, the industry’s top frameworks and applications can easily tap into the power of Volta. This propels data scientists and researchers towards discoveries faster than before.

source
https://www.pcgamesn.com/nvidia/nvidia-volta-gpu-specifications
https://www.nvidia.com/en-us/data-center/volta-gpu-architecture/