Amid all the fireworks around the Volta V100 processor at the GPU Technology Conference (GTC) last week, NVIDIA also devoted a good deal of time to their new cloud offering, the NVIDIA GPU Cloud (NGC). With NGC, along with its new Volta offerings, the company is now poised to play both ends of the cloud market: as a hardware provider and as a platform-as-a service provider.
Cray has launched two variants of its CS-Storm platform, which are designed principally for the fast-moving AI and data analytics markets. The new systems can be configured with up to 10 GPUs or FPGAs per node, offering some of the most computationally dense accelerator solutions on the market today.
Riding a wave of excitement for all things AI, NVIDIA has launched the Volta GPU. The revamped architecture sets a new standard for computing performance in HPC, deep learning, and accelerated databases. The new platform was unveiled by NVIDIA CEO Jensen Huang at the GPU Technology Conference (GTC) on Wednesday morning.
NVIDIA has reported Q1 revenue of $1.94 billion, buoyed by record datacenter sales of $409 million. The datacenter business has been growing by leaps and bounds for the graphics chipmaker, thanks largely to the rapidly expanding market for high GPUs in deep learning.
As NVIDIA’s GPU Technology Conference (GTC) kicks off this week in San Jose, California, vendors are lining up to announce their latest GPU computing wares. Even before the main conference festivities commenced, Supermicro, Inspur, and Boston Limited took the opportunity to launch their new NVIDIA Tesla P100 servers.
The much-anticipated unification of Intel’s Xeon E3, E5 and E7 product lines is upon us. Starting with the upcoming “Skylake” datacenter chips, all Xeons will now fall under the new Xeon Scalable Processor (SP) family.
The San Diego Supercomputing Center (SDSC) will double the number of GPUs on Comet, a two-petaflop supercomputer that came online in 2015. The new coprocessors are being added in response to a growing demand for GPU computing by researchers using the system.