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Submitted URL: https://www.memorydigitalone.jp/
Effective URL: https://www.memorydigital.com/
Submission: On November 19 via api from US — Scanned from JP

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WELCOME TO MEMORYDIGITAL.COM™
 


MEMORY OUTPERFORMANCE



From The Core To The Edge Of Digital Transformation 


VISION



The importance of memory innovation in digital technology cannot be overstated.
Dynamic Memory-Driven™ innovation has led to the development of new memory
technologies like HBM (High Bandwidth Memory), which provides ultra-fast memory
access to CPUs and GPUs, resulting in significant performance improvements for
AI and ML applications. Innovations like HBM have opened up new possibilities
for AI and ML models, enabling them to process more complex data sets in real
time.

 

The impact of memory innovation is not limited to AI and ML. It has far-reaching
implications for other areas like gaming, healthcare, and autonomous vehicles,
where performance and reliability are critical. The development of memory
technologies like MRAM (Magnetoresistive Random Access Memory) and RRAM
(Resistive Random Access Memory) holds the promise of even more significant
improvements in memory speed, power consumption, and durability.

 

It is self-evident that the pursuit of memory innovation is critical to
unlocking the full potential of digital technology. The Memory Digital™
Ultra-SuperBrand is at the forefront of this pursuit to push the boundaries of
what's possible across the digital landscape. As we continue breaking the
boundaries of Moore's Law, we can look forward to even more exciting
advancements in memory technology that will transform how we live, work, and
express ourselves.





NAND/HDD MEMORY 



The exponential increase in the amount of data that needs to be stored,
processed, and analyzed due to the growth of AI and ML has led to the
requirement of faster and more efficient data storage solutions.

 

NAND flash is a type of non-volatile storage technology used in SSDs
(solid-state drives) and USB drives. Its faster read and write speeds compared
to traditional HDDs make it ideal for high-speed data access applications like
AI and ML. NAND flash also offers higher durability and reliability, making it
popular in data centers.

 

HDDs, on the other hand, have been the primary form of data storage for decades.
They provide large capacity memory storage at a relatively low cost. While they
are slower than SSDs, they still play a significant role in the storage of large
amounts of data in data centers. Companies such as Seagate and Western Digital
are continuously developing advanced technologies like HAMR for HDDs, which
offer improvements in storage capacity and performance.

 

Both NAND flash and HDDs continue to play a crucial role in the development of
data storage technologies for AI and ML applications. NAND flash-based solutions
like SSDs are ideal for high-speed data access, while HDDs are ideal for storing
large amounts of data at a relatively low cost per gigabyte. Technologies like
NVMe have emerged to enhance the performance of NAND flash-based solutions,
making them even more suitable for AI and ML applications.

 

The growth of AI and ML has led to the demand for faster and more efficient data
storage solutions, where both NAND flash and HDDs continue to play a pivotal
role in the development of data storage technologies. High Bandwidth Memory is
the next big technological leap.



As the amount of data being generated by AI and ML applications continues to
grow, there is a need for even more advanced data storage solutions. To meet
this demand, companies are developing new technologies like MRAM
(Magnetoresistive Random Access Memory) and ReRAM (Resistive Random Access
Memory). These emerging technologies offer the potential for even faster read
and write speeds than NAND flash, while also being more energy-efficient and
durable. As AI and ML applications continue to evolve, it is likely that these
technologies will play a crucial role in the future of dynamic data memory
storage alongside NAND/Flash and HDDs.





HYBRID MEMORY 



NAND and HDD storage technologies have entered a new phase of system
integration, unlocking unprecedented levels of capacity, performance, and data
resiliency, especially for enterprise applications.

 

Hybrid drives, which combine the benefits of NAND and HDD storage, provide the
best of both worlds. They offer high-speed access to frequently accessed data
with NAND/Flash storage and high-capacity data storage with HDDs. Hybrid drives
also provide increased data resiliency through the use of intelligent software
algorithms, data redundancy, and error correction techniques. This ensures data
integrity and provides greater protection against data loss due to hardware
failures or other issues.

 

The integration of NAND and HDD storage technologies allows for greater levels
of capacity, performance, and data resiliency, making them particularly useful
for enterprise applications where large amounts of data need to be stored and
accessed quickly and reliably.





HYPERSCALED MEMORY INNOVATION AT THE SPEED OF LIGHT



On March 18th, 2024, NVIDIA announced a breakthrough that brings accelerated
computing to the field of computational lithography, enabling semiconductor
leaders like ASML, TSMC and Synopsys to accelerate the design and manufacturing
of next-generation chips, just as current production processes are nearing the
limits of what physics makes possible.

 

The new NVIDIA cuLitho software library for computational lithography is being
integrated by TSMC, the world’s leading foundry, as well as electronic design
automation leader Synopsys into their software, manufacturing processes, and
systems for the latest-generation NVIDIA Blackwell™ architecture GPUs. Equipment
maker ASML is working closely with NVIDIA on GPUs and cuLitho, and is planning
to integrate support for GPUs into all of its computational lithography software
products.

 

The advance will enable chips with tinier transistors and wires than is now
achievable, while accelerating time to market and boosting energy efficiency of
the massive data centers that run 24/7 to drive the manufacturing process.





MEMORY DRIVEN AI 



March 18th , GTC 24, Keynote, Jensen Huang CEO

With computing now advancing at light-speed NVIDIA announced a broad set of
partnerships with Google, Microsoft, Oracle and a range of leading businesses
that bring new AI, simulation and collaboration capabilities to every industry.
NVIDIA Blackwell is a new type of high-performance computing (HPC) CPU that is
designed specifically for use in data centers. One of the key features of the
Blackwell CPU is its high-bandwidth memory architecture, which is called HBM
(High Bandwidth Memory) GPU technology. This allows the CPU to have much faster
access to memory than traditional CPUs, which can greatly accelerate certain
types of workloads such as AI and machine learning.

 

Blackwell is based on the ARM architecture, which is known for its power
efficiency and is widely used in mobile devices. NVIDIA has combined ARM with
its own GPU technology to create a powerful HPC CPU that is expected to deliver
high performance and energy efficiency. It is designed to work seamlessly with
NVIDIA's GPUs, and the company plans to integrate Blackwell with its DGX
systems, which are designed for AI workloads.

 

Overall, NVIDIA Blackwell represents a significant step forward in the
development of HPC CPUs, particularly in the area of memory performance. Its HBM
GPU technology is expected to enable new types of AI and machine learning
workloads that were previously not possible with traditional CPUs.



“The development of AI is as fundamental as the creation of the microprocessor,
the personal computer, the Internet, and the mobile phone. It will change the
way people work, learn, travel, get health care, and communicate with each
other. Entire industries will reorient around it. Businesses will distinguish
themselves by how well they use it.”           

                   Jensen Huang, March 2024 




Strategic Brand Capital

Gotthardstrasse 26

6300 Zug

Switzerland

Reference: Memory Digital IP Assets




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