Google has expanded its NVIDIA GPU offerings on the Google Cloud Platform. These include:
- Performance boost with the public launch of NVIDIA P100 GPUs in beta
- NVIDIA Tesla K80 GPUs available on Google Compute Engine
- Introduction of sustained use discounts on both the Tesla K80 and P100 GPUs
According to a Google Cloud Platform blog, cloud GPUs can accelerate workloads including machine learning training and inference, geophysical data processing, simulation, seismic analysis, molecular modeling, genomics and many more high performance compute use cases.
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Can’t say this was unexpected as NVIDIA retorts Google’s claim that its custom ASIC Tensor Processing Unit (TPU) was up to 30 times faster than CPUs and NVIDIA’s K80 G for inferencing workloads.
NVIDIA pointed out that Google’s TPU paper has drawn a clear conclusion – without accelerated computing, the scale-out of AI is simply not practical.
The role of data centres has changed considerably in today’s economy. Instead of just serving web pages, advertising and video content, data centres are now recognising voices, detecting images in video streams and connecting users with information they need when they need it.
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NVIDIA has unveiled the Tesla K80 dual-GPU accelerator designed for a wide range of machine learning, data analytics, scientific, and high performance computing (HPC) applications.
The Tesla K80 dual-GPU is the new flagship offering of the Tesla Accelerated Computing Platform, the leading platform for accelerating data analytics and scientific computing.
It combines the world’s fastest GPU accelerators, the widely used CUDA parallel computing model, and a comprehensive ecosystem of software developers, software vendors, and datacentre system OEMs.
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