NVIDIA has moved from the desktop to the data center, emerging as a major player in high performance computing – and especially the booming field of artificial intelligence.
Insights: Machine Learning and Artificial Intelligence
Machine learning and artificial intelligence have arrived in the data center, changing the face of the hyperscale server farm as racks begin to fill with ASICs, GPUs, FPGAs and supercomputers. The race to leverage machine learning is led by the industry’s marquee names, including Google, Facebook and IBM. As usual, the battlefield runs through the data center, with implications for the major cloud platforms and chipmakers like Intel and NVIDIA.
Intel today unveiled FPGA-powered hardware targeting the artificial intelligence (AI) market, which has emerged as a focus of investment for the largest data center operators.
Widespread anxiety about artificial intelligence (AI) presents a challenge for companies building the new generation of AI technologies, as well as the data centers that will power them. The tech sector is trying to change that.
Uber has hired industry veteran Dean Nelson, the former head of data centers at eBay, as Head of Uber Compute. The hiring suggests Uber is ready to super-size its growing data infrastructure.
Intel’s acquisition of artificial intelligence startup Nervana arms the chipmaker with new software and hardware technologies as it seeks to gain more traction in the machine learning market.
The Big Sur GPU-powered server is the key to Facebook’s bid to create a smarter newsfeed for its 1.6 billion users around the globe. We see it in action at Facebook’s Oregon data center.
The ISC16 conference showcased the next generation of hardware to power HPC workloads, including Intel’s Xeon Phi processor, a powerful new GPU accelerator from NVIDIA, and Fujitsu’s embrace of low-power ARM processors for a major supercomputer.
Cisco sees an opportunity in the crowded market for data center management tools, and has introduced Tetration, a solution that combines hardware, software, analytics and machine learning to provide better visibility into the data center.
What will the data center look like in 5 years or 10 years? Here’s a closer look at the Internet of Things, virtual reality and machine learning, and what these new technologies may mean for the data centers that power your business and livelihood.
Machine learning and artificial intelligence have arrived in the data center. This trend is changing the face of the hyperscale server farm, as racks begin to fill with ASICs, GPUs, FPGAs and supercomputers.