Applied Materials Embedding New Memory Technologies in Chips

By Doug Black

July 9, 2019

Applied Materials, the $17 billion Santa Clara-based materials engineering company for the semiconductor industry, today announced manufacturing systems enabling new memory technologies to be deposited “with atomic-level precision” within chips.

“Today’s high-volume memory technologies including DRAM, SRAM and flash were invented decades ago and have become ubiquitous in digital devices and systems,” said the company. “New memories – notably MRAM, ReRAM and PCRAM – promise unique benefits, but they are based on new materials that have been too challenging for high-volume manufacturing… The company is delivering the most advanced systems it has ever developed to enable these promising new memories to be reliably produced at an industrial scale.”

Applied Materials’ Endura platforms allow integration of multiple materials engineering technologies along with on-board metrology to create new films and structures that the company said were not previously possible. “These integrated platforms illustrate the critical role that new materials and 3D architectures can play in giving the computing industry entirely new ways to improve performance, power and cost,” said Dr. Prabu Raja, SVP/GM of Applied’s Semiconductor Products Group.

Applied’s Endura Clover MRAM (magnetic random access memory, which incorporates magnetic materials found in hard disk drives and is a memory of choice for IoT devices) PVD platform is comprised of nine wafer processing chambers integrated in high-vacuum conditions, the company said, a 300-millimeter MRAM system for high-volume manufacturing for individually depositing up to five materials per chamber.

“MRAM memories require precise deposition of at least 30 different layers of material, some of which are 500,000 times thinner than a human hair,” the company said. “Process variations of just a fraction of the diameter of an atom can greatly affect device performance and reliability. The Clover MRAM PVD platform includes on-board metrology that measures and monitors thickness of the MRAM layers with sub-angstrom sensitivity as they are created, to ensure atomic-level uniformity without risking exposure to the outside environment.”

“As an extremely fast, high-endurance nonvolatile memory, MRAM is poised to displace embedded flash and level 3 cache SRAM in both IoT and AI applications,” said Tom Sparkman, CEO of Spin Memory. “The availability of a high-volume manufacturing system from Applied Materials is a huge boost to the ecosystem, and we are thrilled to be working with Applied to deliver MRAM solutions and accelerate its adoption.”

Applied Endura Clover MRAM PVD System

Applied said its Endura Impulse PVD platform for PCRAM and ReRAM includes up to nine process chambers integrated under vacuum along with on-board metrology for deposition and control of the multicomponent materials used emerging memories.

“As data generation grows exponentially, cloud data centers require order-of-magnitude improvements in the speed and power consumption of the data pathways linking servers and storage systems,” the company said. “ReRAM (resistive RAM) and PCRAM (phase change RAM) are fast, nonvolatile, low-power, high-density memories that can be used as ‘storage class memory’ to fill the widening price-performance gap between server DRAM and storage.”

Applied said ReRAM and PCRAM has the potential to deliver lower cost than DRAM and faster read performance than NAND and hard disk drives. “ReRAM is also a leading candidate for future in-memory computing architectures whereby computing elements are integrated into the memory arrays to help overcome the data movement bottleneck associated with AI computing,” the company said.

“Uniform deposition of the new materials used in ReRAM memories is critical to achieving the highest possible device performance, reliability and endurance,” said George Minassian, CEO and co-founder of Crossbar, Inc. “We specify the Applied Materials Endura Impulse PVD system with onboard metrology in our ReRAM technology engagements with memory and logic customers because it enables a breakthrough in these critical metrics.”

Commenting on today’s announcement, Mukesh Khare, VP, semiconductors, AI hardware and systems, IBM Research, said, “…we see the need for these technologies increasing as the AI era demands improvements in chip performance and efficiency. New materials and device types can play an important role in enabling high-performance, low-power embedded memory for IoT, Cloud and AI products. Applied Materials’ high-volume manufacturing solutions can help accelerate the availability of these new memories across the industry.”

Subscribe to HPCwire's Weekly Update!

Be the most informed person in the room! Stay ahead of the tech trends with industry updates delivered to you every week!

Empowering High-Performance Computing for Artificial Intelligence

April 19, 2024

Artificial intelligence (AI) presents some of the most challenging demands in information technology, especially concerning computing power and data movement. As a result of these challenges, high-performance computing Read more…

Kathy Yelick on Post-Exascale Challenges

April 18, 2024

With the exascale era underway, the HPC community is already turning its attention to zettascale computing, the next of the 1,000-fold performance leaps that have occurred about once a decade. With this in mind, the ISC Read more…

2024 Winter Classic: Texas Two Step

April 18, 2024

Texas Tech University. Their middle name is ‘tech’, so it’s no surprise that they’ve been fielding not one, but two teams in the last three Winter Classic cluster competitions. Their teams, dubbed Matador and Red Read more…

2024 Winter Classic: The Return of Team Fayetteville

April 18, 2024

Hailing from Fayetteville, NC, Fayetteville State University stayed under the radar in their first Winter Classic competition in 2022. Solid students for sure, but not a lot of HPC experience. All good. They didn’t Read more…

Software Specialist Horizon Quantum to Build First-of-a-Kind Hardware Testbed

April 18, 2024

Horizon Quantum Computing, a Singapore-based quantum software start-up, announced today it would build its own testbed of quantum computers, starting with use of Rigetti’s Novera 9-qubit QPU. The approach by a quantum Read more…

2024 Winter Classic: Meet Team Morehouse

April 17, 2024

Morehouse College? The university is well-known for their long list of illustrious graduates, the rigor of their academics, and the quality of the instruction. They were one of the first schools to sign up for the Winter Read more…

Kathy Yelick on Post-Exascale Challenges

April 18, 2024

With the exascale era underway, the HPC community is already turning its attention to zettascale computing, the next of the 1,000-fold performance leaps that ha Read more…

Software Specialist Horizon Quantum to Build First-of-a-Kind Hardware Testbed

April 18, 2024

Horizon Quantum Computing, a Singapore-based quantum software start-up, announced today it would build its own testbed of quantum computers, starting with use o Read more…

MLCommons Launches New AI Safety Benchmark Initiative

April 16, 2024

MLCommons, organizer of the popular MLPerf benchmarking exercises (training and inference), is starting a new effort to benchmark AI Safety, one of the most pre Read more…

Exciting Updates From Stanford HAI’s Seventh Annual AI Index Report

April 15, 2024

As the AI revolution marches on, it is vital to continually reassess how this technology is reshaping our world. To that end, researchers at Stanford’s Instit Read more…

Intel’s Vision Advantage: Chips Are Available Off-the-Shelf

April 11, 2024

The chip market is facing a crisis: chip development is now concentrated in the hands of the few. A confluence of events this week reminded us how few chips Read more…

The VC View: Quantonation’s Deep Dive into Funding Quantum Start-ups

April 11, 2024

Yesterday Quantonation — which promotes itself as a one-of-a-kind venture capital (VC) company specializing in quantum science and deep physics  — announce Read more…

Nvidia’s GTC Is the New Intel IDF

April 9, 2024

After many years, Nvidia's GPU Technology Conference (GTC) was back in person and has become the conference for those who care about semiconductors and AI. I Read more…

Google Announces Homegrown ARM-based CPUs 

April 9, 2024

Google sprang a surprise at the ongoing Google Next Cloud conference by introducing its own ARM-based CPU called Axion, which will be offered to customers in it Read more…

Nvidia H100: Are 550,000 GPUs Enough for This Year?

August 17, 2023

The GPU Squeeze continues to place a premium on Nvidia H100 GPUs. In a recent Financial Times article, Nvidia reports that it expects to ship 550,000 of its lat Read more…

Synopsys Eats Ansys: Does HPC Get Indigestion?

February 8, 2024

Recently, it was announced that Synopsys is buying HPC tool developer Ansys. Started in Pittsburgh, Pa., in 1970 as Swanson Analysis Systems, Inc. (SASI) by John Swanson (and eventually renamed), Ansys serves the CAE (Computer Aided Engineering)/multiphysics engineering simulation market. Read more…

Intel’s Server and PC Chip Development Will Blur After 2025

January 15, 2024

Intel's dealing with much more than chip rivals breathing down its neck; it is simultaneously integrating a bevy of new technologies such as chiplets, artificia Read more…

Choosing the Right GPU for LLM Inference and Training

December 11, 2023

Accelerating the training and inference processes of deep learning models is crucial for unleashing their true potential and NVIDIA GPUs have emerged as a game- Read more…

Baidu Exits Quantum, Closely Following Alibaba’s Earlier Move

January 5, 2024

Reuters reported this week that Baidu, China’s giant e-commerce and services provider, is exiting the quantum computing development arena. Reuters reported � Read more…

Comparing NVIDIA A100 and NVIDIA L40S: Which GPU is Ideal for AI and Graphics-Intensive Workloads?

October 30, 2023

With long lead times for the NVIDIA H100 and A100 GPUs, many organizations are looking at the new NVIDIA L40S GPU, which it’s a new GPU optimized for AI and g Read more…

Shutterstock 1179408610

Google Addresses the Mysteries of Its Hypercomputer 

December 28, 2023

When Google launched its Hypercomputer earlier this month (December 2023), the first reaction was, "Say what?" It turns out that the Hypercomputer is Google's t Read more…

AMD MI3000A

How AMD May Get Across the CUDA Moat

October 5, 2023

When discussing GenAI, the term "GPU" almost always enters the conversation and the topic often moves toward performance and access. Interestingly, the word "GPU" is assumed to mean "Nvidia" products. (As an aside, the popular Nvidia hardware used in GenAI are not technically... Read more…

Leading Solution Providers

Contributors

Shutterstock 1606064203

Meta’s Zuckerberg Puts Its AI Future in the Hands of 600,000 GPUs

January 25, 2024

In under two minutes, Meta's CEO, Mark Zuckerberg, laid out the company's AI plans, which included a plan to build an artificial intelligence system with the eq Read more…

China Is All In on a RISC-V Future

January 8, 2024

The state of RISC-V in China was discussed in a recent report released by the Jamestown Foundation, a Washington, D.C.-based think tank. The report, entitled "E Read more…

Shutterstock 1285747942

AMD’s Horsepower-packed MI300X GPU Beats Nvidia’s Upcoming H200

December 7, 2023

AMD and Nvidia are locked in an AI performance battle – much like the gaming GPU performance clash the companies have waged for decades. AMD has claimed it Read more…

Nvidia’s New Blackwell GPU Can Train AI Models with Trillions of Parameters

March 18, 2024

Nvidia's latest and fastest GPU, codenamed Blackwell, is here and will underpin the company's AI plans this year. The chip offers performance improvements from Read more…

DoD Takes a Long View of Quantum Computing

December 19, 2023

Given the large sums tied to expensive weapon systems – think $100-million-plus per F-35 fighter – it’s easy to forget the U.S. Department of Defense is a Read more…

Eyes on the Quantum Prize – D-Wave Says its Time is Now

January 30, 2024

Early quantum computing pioneer D-Wave again asserted – that at least for D-Wave – the commercial quantum era has begun. Speaking at its first in-person Ana Read more…

GenAI Having Major Impact on Data Culture, Survey Says

February 21, 2024

While 2023 was the year of GenAI, the adoption rates for GenAI did not match expectations. Most organizations are continuing to invest in GenAI but are yet to Read more…

The GenAI Datacenter Squeeze Is Here

February 1, 2024

The immediate effect of the GenAI GPU Squeeze was to reduce availability, either direct purchase or cloud access, increase cost, and push demand through the roof. A secondary issue has been developing over the last several years. Even though your organization secured several racks... Read more…

  • arrow
  • Click Here for More Headlines
  • arrow
HPCwire