News Posts matching "Intel"

Return to Keyword Browsing

Micron and Intel Extend Their Leadership in 3D NAND Flash Memory

Micron Technology Inc. and Intel Corporation today announced production and shipment of the industry's first 4bits/cell 3D NAND technology. Leveraging a proven 64-layer structure, the new 4bits/cell NAND technology achieves 1 terabit (Tb) density per die, the world's highest-density flash memory. The companies also announced development progress on the third-generation 96-tier 3D NAND structure, providing a 50 percent increase in layers. These advancements in the cell structure continue the companies' leadership in producing the world's highest Gb/mm2 areal density.

Both NAND technology advancements-the 64-layer QLC and 96-layer TLC technologies -utilize CMOS under the array (CuA) technology to reduce die sizes and deliver improved performance when compared to competitive approaches. By leveraging four planes vs the competitors' two planes, the new Intel and Micron NAND flash memory can write and read more cells in parallel, which delivers faster throughput and higher bandwidth at the system level. The new 64-layer 4bits/cell NAND technology enables denser storage in a smaller space, bringing significant cost savings for read-intensive cloud workloads. It is also well-suited for consumer and client computing applications, providing cost-optimized storage solutions.

In Wake of Intel's 10 nm Process Difficulties, Analyst Firm Bumps AMD's Share Outlook

Intel's woes with their 10 nm process have been well documented by now (and even if they hadn't, the absence of any real product on store shelves would be a dead giveaway). And as Intel struggles to get its process up and running - and is now ramping up production on comparatively simple Core i3 chips, which are smaller and less prone to costly silicon defects - AMD and other Intel rivals are gaining traction over the once too-slumbering giant.

As a result of Intel's 10 nm difficulties, analyst firm Susquehanna, who recently downgraded AMD and NVIDIA shares on the expected lowered demand for graphics products from these companies in the wake of the first ever Ethereum ASIC, has now revised AMD's share strategy. Previously set at "Sell", the firm now rates AMD's shares as "Neutral" - specifically citing Intel's difficulties in ramping up the new process as simply giving AMD more chances to catch-up and surpass its blue counterpart. Susquehanna's Christopher Rolland published a note to clients stating basically that - that "We believe Intel's delay will help to maintain/improve AMD's competitiveness for their next generation of EPYC and Ryzen products", adding that "(...) for the first time in memory, AMD will compete at a similar process technology as Intel, a strong multi-year tailwind".

Intel's Mobileye Secures a Future-Focused Deal for 8 Million Self-Driving Systems in 2021

Intel's Mobileye, the AI and self-driving feature the blue giant acquired last year for a cool $15.3 billion, has just announced, via an exclusive report to Reuters, that they've secured a contract to provide some 8 million self-driving systems to an European automaker. The deal is a future-focused one, and will see, by 2021, distribution for Intel's EyeQ5 chip, which is designed for fully autonomous driving - an upgrade to the EyeQ4 that will be rolled out in the coming weeks, Reuters reports, according to senior vice president for advanced development and strategy at Mobileye Erez Dagan.

Amnon Shashua, Mobileye's chief executive, said that "By the end of 2019, we expect over 100,000 Level 3 cars [where the car is self-driving but still allows for user intervention should the system be unable to progress for more than 10 seconds] with Mobileye installed." This deal is sure to make Intel even more of a player in the automotive space, where NVIDIA and a number of other high-profile companies have been making strides in recent years.

Intel "Cannon Lake" Confirmed to Feature AVX-512 Instruction-Set

Intel updated the ARK information page for its stealthily launched 10 nm production chip, the Core i3-8121U "Cannon Lake," to confirm that the chip supports the new AVX-512 instruction-set. This is the first "mainstream" client-segment processor by the company to feature the extremely advanced instruction-set that, if implemented properly on the software side, can double performance/Watt compared to tasks that can take advantage of AVX2.

The instruction-set made its debut with the Xeon Phi "Knights Landing" HPC processor, and made its client-segment debut with the Core X "Skylake X" HEDT processors. It remains to be seen if the implementation of AVX-512 on "Cannon Lake" is complete, or if some instructions found on HPC processors such as the Xeon Phi are omitted due to irrelevance to the client platform.

Intel to Expand its Manufacturing Base in Israel

The Israeli Government revealed that chipmaker Intel plans to expand its presence in the country for manufacturing and R&D. The company is reportedly preparing an ILS 18 billion (around USD $5 billion) investment toward expanding its Kiryat Gat manufacturing facility in southern Israel. The expansion will also include an ILS 3 billion expenditure by Intel on local suppliers. In return, Israel is giving Intel tax-breaks running up to 2027, where the company will be taxed at a reduced rate of 5 percent. The Government is also considering an ILS 700 million grant to the company. Intel is one of the largest employers and manufacturers in Israel. The company exported $3.5 billion worth goods and services from the country in 2017.

Probabilistic Computing Takes Artificial Intelligence to the Next Step

The potential impact of Artificial Intelligence (AI) has never been greater - but we'll only be successful if AI can deliver smarter and more intuitive answers. A key barrier to AI today is that natural data fed to a computer is largely unstructured and "noisy."

It's easy for humans to sort through natural data. For example: If you are driving a car on a residential street and see a ball roll in front of you, you would stop, assuming there is a small child not far behind that ball. Computers today don't do this. They are built to assist humans with precise productivity tasks. Making computers efficient at dealing with probabilities at scale is central to our ability to transform current systems and applications from advanced computational aids into intelligent partners for understanding and decision-making.

A Very Real Intelligence Race: The White House Hosts 38 Tech Companies on AI

The White House today is hosting executives from 38 companies for a grueling, embattled day of trying to move through the as of yet murky waters of AI development. The meeting, which includes representatives from Microsoft, Intel, Google, Amazon, Pfizer, and Ford, among others, aims to gather thoughts and ideas on how to supercharge AI development in a sustainable, safe, and cost-effective way.

Fields such as agriculture, healthcare and transportation are being spearheaded as areas of interest (military applications, obviously, are being discussed elsewhere). The Washington Post quotes Michael Kratsios, deputy chief technology officer at the White House, as saying in a recent interview that "Whether you're a farmer in Iowa, an energy producer in Texas, a drug manufacturer in Boston, you are going to be using these techniques to drive your business going forward."

A Push for the Higher Margin: Intel Reportedly Discontinues Production of Its H310 Chipset

A report straight out of DigiTimes, citing industry sources, says that Intel has discontinued production of its H310 chipset. The decision has apparently stemmed from lower than expected production capacity for chipsets on the 14 nm process. When that happens, production focus must shift to a specific part: in this case, Intel obviously went with the option with the lower opportunity cost, and increased production of the Z370 chipset: the one with the increased feature-set, and, most likely than not, higher margins.

After a single month of tight supply for the H310 chipset, motherboard makers are now forced to use Intel's B360 chipset in their more cost-conscious options as well - a part which carries higher cost, and thus precludes manufacturers from hitting all the price points they usually would with a fully vertical Intel chipset lineup. Speculation has emerged claiming Intel suspended the supply of H310 because they have chosen to conduct a manufacturing process change from the tight-supply 14 nm (used across almost all of Intel's production stack, both consumer and enterprise) to a 22 nm fabrication technology. Further speculation places this constrained 14 nm supply as existent because of the delay in advancing to 10 nm, a process that Intel expected to be producing in volume by now (and since a while back, to be fair).

HP Thin Client Innovation Fuels the Future of Cloud-Based Computing

HP Inc. today introduced a new class of thin clients that will enable the next generation of virtualized computing and cloud-first application adoption across industries. The latest HP Thin Client innovations set new standards for customers seeking modern design, robust security, ease of management and attractive value. Spending on Cloud IT infrastructure is expected to have double digit growth and surpass spending on non-cloud IT infrastructure by 2022, according to IDC.

"As the cloud continues to reshape the way information is created, maintained and shared, HP Thin Client devices are delivering modern workflows with superior security and low-touch maintenance," said Joanne Bugos, vice president and general manager, Thin Clients, HP Inc. "Our newest thin client solutions provide customers with a convenient and secure option to deploy both virtual and cloud-based computing environments while delivering a great user experience, stylish design, and the versatility needed to support today's workforce both in and out of the office."

GIGABYTE Announces Two New Powerful Deep Learning Engines

GIGABYTE, an industry leader in server hardware for high performance computing, has released two new powerful 4U GPU servers to bring massive parallel computing capabilities into your datacenter: the 8 x SXM2 GPU G481-S80, and the 10 x GPU G481-HA0. Both products offer some of the highest GPU density of this form factor available on the market.

As artificial intelligence is becoming more widespread in our daily lives, such as for image recognition, autonomous vehicles or medical research, more organizations need deep learning capabilities in their datacenter. Deep learning requires a powerful engine that can deal with the massive volumes of data processing required. GIGABYTE is proud to provide our customers with two new solutions for such an engine.
Return to Keyword Browsing