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NVIDIA Unveils Tesla P100: Advanced GPU for Data Centers

The graphic chip behemoth, NVIDIA Corp. NVDA recently unveiled a super-fast graphics chip for deep learning that promises to make a splash in the artificial intelligence (AI) space. During its 2016 GPU Technology Conference, the company introduced Tesla P100, the most advanced accelerator.

Tesla P100, based on NVIDIA’s next generation Pascal architecture, is claimed to be the biggest chip ever made. The chip is built on the 16-nanometer (nm) fabrication node and features over 15 billion transistors.

Moreover, with NVIDIA’s NVLink high-speed GPU interconnect, up to eight Tesla P100 GPUs can be interconnected to maximize application performance in a single node. The company revealed that International Business Machines IBM “has implemented NVLink on its POWER8 CPUs for fast CPU-to-GPU communication”.

The company claims that the Tesla P100 GPU accelerator delivers best performance for High-performance computing (HPC), deep learning and many intensive computational workloads at data centers. The company has further revealed that it is shipping the latest technology to key HPC OEMs, which may include Dell and Hewlett-Packard Enterprise HPE in our opinion.

Apart from Tesla P100 GPU, the company also introduced its supercomputer — DGX-1 — tailor-made for deep learning. DGX-1 combines two Intel INTC Xeon processors and eight Tesla P100 GPU accelerators with 16GB memory per GPU and capable of 170 teraflops of performance.

Deep learning is currently a hot trend in the tech space as it helps machines to analyze data and make better decisions. Therefore, several big technology companies like Facebook, Microsoft and Alphabet are grabbing a share of the pie either through acquisitions or in-house research. This Monday, Salesforce boosted its AI capabilities by acquiring MetaMind, a start-up specializing in deep-learning services (Read: Salesforce (CRM) Boosts AI Capabilities with MetaMind Buy).

NVIDIA has been world’s biggest graphic processing hardware provider for PCs over the past several decades. However, after it started supplying chips for autonomous vehicles, the company’s latest announcements hint that it intends to be the largest player in machine learning arena too.

Furthermore, by expanding its business avenues, the company will be able to reduce its dependency on the PC industry which is currently declining.

We believe that the company is growing well in the AI business as is evident from the recently reported quarterly results and was one of the very few chip makers that performed well on the stock market. Shares of NVIDIA gained nearly 68% in the last one-year period while returning approximately 11% year to date.

NVIDIA currently carries a Zacks Rank #2 (Buy).

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