IBM and its partners have developed a novel technology to build 5nm chips, based on silicon nanosheet transistors. Compared to 10nm chips using FinFET transistors, the new technology promises to deliver a 40 percent performance increase, a 75 percent power savings, or some combination of the two.
NVIDIA is hooking up with four of the world’s largest original design manufacturers (ODMs) to help accelerate adoption of its GPUs into hyperscale datacenters. The new partner program would give Foxconn, Inventec, Quanta and Wistron early access to the HGX reference architecture, NVIDIA’s server design for machine learning acceleration.
Building a quantum computer that can outperform conventional systems on certain types of algorithms looks to be tantalizingly close. As it stands today, Google and IBM appear to be the most likely candidates to claim that achievement.
The FY 2018 Congressional budget request for the Department of Energy has been released, reflecting a White House that favors supercomputing infrastucture over scientific research. That turns out to be both good news and bad news for the HPC community.
At Microsoft’s recent Build conference, Azure CTO Mark Russinovich presented a future that would significantly expand the role of FPGAs in their cloud platform. Some of these plans could sideline the use of GPUs and CPUs used for deep learning from the likes of NVIDIA, Intel, and other chipmakers.
In a blog post, penned by Google veterans Jeff Dean and Urs Hölzle, the company announced it has developed and deployed its second-generation Tensor Processing Units (TPUs). The newly hatched TPU is being used to accelerate Google’s machine learning work and will also become the basis of a new cloud service.
Hewlett Packard Enterprise has introduced what looks to be the final prototype of “The Machine,” an HPE research project aimed at developing a memory-driven computing architecture for the era of big data. According to HPE CTO Mark Potter: “The architecture we have unveiled can be applied to every computing category—from intelligent edge devices to supercomputers.”
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.
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.
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.