NVIDIA Launches EGX - An Edge Computing Platform With Multi-Cloud And AI Capabilities

#artificialintelligence

At the Computex event in Taiwan, NVIDIA unveiled EGX, a multi-cloud and AI-enabled edge computing platform for enterprises. NVIDIA EGX is a unified edge computing stack that can span from the tiny Jetson Nano to a full rack of T4 servers. Customers can start small with EGX and gradually scale to support full-blown GPUs. NVIDIA is optimizing the software stack to power devices such as drones to dedicated servers that can handle AI inferencing at scale. NVIDIA Edge Stack is an optimized platform powered by NVIDIA drivers, a CUDA Kubernetes plugin, a CUDA container runtime, CUDA-X libraries and containerized AI frameworks and applications such as TensorRT, TensorRT Inference Server and DeepStream SDK.


NVIDIA Targets Next AI Frontiers: Inference And China

#artificialintelligence

NVIDIA's meteoric growth in the datacenter, where its business is now generating some $1.6B annually, has been largely driven by the demand to train deep neural networks for Machine Learning (ML) and Artificial Intelligence (AI)--an area where the computational requirements are simply mindboggling. Much of this business is coming from the largest datacenters in the US, including Amazon, Google, Facebook, IBM, and Microsoft. Recently, NVIDIA announced new technology and customer initiatives at its annual Beijing GTC event to help drive revenue in the inference market for Machine Learning, as well as solidify the company's position in the huge Chinese AI market. For those unfamiliar, inference is where the trained neural network is used to predict and classify sample data. It is likely that the inference market will eventually be larger, in terms of chip unit volumes, than the training market; after all, once you train a neural network, you probably intend to use it and use it a lot.


Nvidia doubles down on AI

ZDNet

AI industry watchers and ZDNet readers know Nvidia has become a juggernaut in the world of GPU-based deep learning and artificial intelligence (AI). And today, NVIDIA CEO Jensen Huang is using his keynote at the company's GPU Technology Conference (GTC) event to announce significant improvements to NVIDIA's GPU hardware and platform performance. Also read: Nvidia redefines autonomous vehicle testing with VR simulation system Also read: Nvidia extends'cinematic quality' image rendering capability beyond gaming This post, meanwhile will focus on NVIDIA's AI/deep learning-related announcements, which fall into three areas: Double your pleasure The really big news is in the core technology itself: Tesla V100 GPUs will now be equipped with 32GB of memory, which doubles the previous 16GB capacity. More memory means more larger, deeper deep learning models can be accommodated, which in turn means greater accuracy in the models' predictive power. The new GPU technology is being made available immediately on Nvidia's own DGX systems.


NVIDIA's AI-Driven Data Center Business Could Grow by 18 Times in 5 Years

@machinelearnbot

NVIDIA (NASDAQ: NVDA) recently reported powerful fiscal first-quarter 2018 results. The graphics processing unit (GPU) specialist's revenue jumped 66%, GAAP earnings per share soared 151%, and adjusted EPS surged 141%. There was a wealth of information about the company's results and future prospects shared on the earnings call. Our focus here is on NVIDIA's data center, which is growing like gangbusters -- its revenue grew 71% year over year to $701 million in the quarter, accounting for 22% of the company's total revenue. We see the data center opportunity as very large, fueled by growing demand for accelerated computing and applications ranging from AI [artificial intelligence] to high-performance computing across multiple market segments and vertical industries.


NVIDIA's AI-Driven Data Center Business Could Grow by 18 Times in 5 Years

#artificialintelligence

NVIDIA (NASDAQ:NVDA) recently reported powerful fiscal first-quarter 2018 results. The graphics processing unit (GPU) specialist's revenue jumped 66%, GAAP earnings per share soared 151%, and adjusted EPS surged 141%. There was a wealth of information about the company's results and future prospects shared on the earnings call. Our focus here is on NVIDIA's data center, which is growing like gangbusters -- its revenue grew 71% year over year to $701 million in the quarter, accounting for 22% of the company's total revenue. We see the data center opportunity as very large, fueled by growing demand for accelerated computing and applications ranging from AI [artificial intelligence] to high-performance computing across multiple market segments and vertical industries.