Nvidia Tips GPU Accelerator for High Performance Computing

17 November 2014

Nvida has released an addition to its Tesla Accelerated Computing Platform designed for machine learning, data analytics, scientific and high performance computing applications.

Dubbed the Tesla K80, the device features a dual-GPU which Nvidia claims is the fastest accelerator targeted at this market in that it provides a 10X performance over competing accelerators. In addition to dual-GPUs, the Tesla K80 includes a CUDA parallel computing model and an ecosystem of software developers, software vendors and datacenter system OEMs, Nvidia said.

The device includes 24GB of GDDR5 memory, 480GB/sec memory bandwidth, Nvidia’s GPU boost technology and dynamic parallelism.

The Tesla K80 delivers up to 8.74 teraflops single-precision and up to 2.91 teraflops double-precision peak floating point performance allowing it to tackle such computational challenges such as astrophysics, genomics and quantum chemistry, Nvidia said. It is also optimized for advanced deep learning tasks, which Nvidia said is one of the fastest growing segments in the machine learning space.

The Tesla K80 is available now.

Related links:

IHS Semiconductors & Components

News articles:

Nvidia Fires Back at Samsung’s Countersuit

Nvidia Revenues Up in Q3

Nvidia Files Suit Against Samsung, Qualcomm

Chips to Build the IoT On

U.S. Manufacturing Moves Full Speed Ahead

Powered by CR4, the Engineering Community

Discussion – 0 comments

By posting a comment you confirm that you have read and accept our Posting Rules and Terms of Use.
Engineering Newsletter Signup
Get the Engineering360
Stay up to date on:
Features the top stories, latest news, charts, insights and more on the end-to-end electronics value chain.
Weekly Newsletter
Get news, research, and analysis
on the Electronics industry in your
inbox every week - for FREE
Sign up for our FREE eNewsletter
Find Free Electronics Datasheets