Tag Archives: Quantum Computing

IBM z16 : Industry's First Quantum-Safe System Explained!

IBM z16 : Industry’s First Quantum-Safe System Explained!

IBM just introduced the z16 system, powered by their new Telum processor with an integrated AI accelerator!

Take a look at the z16, and find out why it is the industry’s first quantum-safe system!

 

IBM z16 : Industry’s First Quantum-Safe System!

On 25 April 2022, IBM officially unveiled their new z16 system in Malaysia – the industry’s first quantum-safe system.

IBM Vice President for Worldwide Sales of IBM Z and LinuxONE, Jose Castano, flew to Kuala Lumpur, to give us an exclusive briefing on the new z16 system, and tell us why it is the industry’s first quantum-safe system.

IBM Z and LinuxONE Security CTO Michael Jordan also briefed us on why quantum-safe computing will be critical for enterprises, as quantum computing improves.

Thanks to its Telum processor, the IBM z16 system delivers low and consistent latency for embedding AI into response time-sensitive transactions. This can enable customers to leverage AI inference to better control the outcome of transactions before they complete.

For example, they can leverage AI inference to mitigate risk in Clearing & Settlement applications, to predict which transactions have high risk exposure, and highlight questionable transactions, to prevent costly consequences.

In a use-case example, one international bank uses AI on IBM Z as part of their credit card authorization process instead of using an off-platform inference solution. As a result, the bank can detect fraud during its credit card transaction authorisation processing.

The IBM z16 will offer better AI inference capacity, thanks to its integrated AI accelerator offering up to 1 ms of latency, expanding use cases that include :

  • tax fraud and organised retail theft detection
  • real-time payments and alternative payment methods, including cryptocurrencies
  • speed up business or consumer loan approvals

As the industry’s first quantum-safe system, the IBM z16 is protected by lattice-based crypto graphs – an approach for constructing security primitives that help protect data and systems against current and future threats.

 

IBM z16 : Powered By The New Telum Processor!

The IBM z16 is built around the new IBM Telum processor, which is specifically designed for secure processing, and real-time AI inference.

Here are the key features of the IBM Telum processor that powers the new IBM z16 system :

  • Fabricated on the 7 nm process technology
  • Has 8 processor cores, clocked at over 5 GHz
  • Each processor core has a dedicated 32 MB private L2 cache
  • The eight 32 MB L2 cache can form a virtual 256 MB L3 cache, and a 2 GB L4 cache.
  • Transparent encryption of main memory, with 8-channel fault tolerant memory interface
  • Integrated AI accelerator with 6 TFLOPS compute capacity
  • Centralised AI accelerator architecture, with direct connection to the cache infrastructure

The Telum processor is designed to enable extremely low latency inference for response-time sensitive workloads. With planned system support for up to 200 TFLOPs, the AI acceleration is also designed to scale up to the requirements of the most demanding workloads.

Thanks to the Telum processor, the IBM z16 can process 300 billion inference requests per day, with just one millisecond of latency.

 

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Here Are The Top 10 Tech Trends In 2020 From Alibaba!

Alibaba, specifically its research institute – the Alibaba DAMO Academy, just published their top 10 tech trends in 2020.

Here are the highlights from those top 10 tech trends that they are predicting will go big in 2020!

 

Here Are The Top 10 Tech Trends In 2020 From Alibaba!

Tech Trend #1 : AI Evolves From Perceptual Intelligence To Cognitive Intelligence

Artificial intelligence has reached or surpassed humans in the areas of perceptual intelligence such as speech to text, natural language processing, video understanding etc; but in the field of cognitive intelligence that requires external knowledge, logical reasoning, or domain migration, it is still in its infancy.

Cognitive intelligence will draw inspiration from cognitive psychology, brain science, and human social history, combined with techniques such as cross domain knowledge graph, causality inference, and continuous learning to establish effective mechanisms for stable acquisition and expression of knowledge.

These make machines to understand and utilize knowledge, achieving key breakthroughs from perceptual intelligence to cognitive intelligence.

Tech Trend #2 : In-Memory Computing Addresses Memory Wall Challenge In AI Computer

In Von Neumann architecture, memory and processor are separate and the computation requires data to be moved back and forth.

With the rapid development of data-driven AI algorithms in recent years, it has come to a point where the hardware becomes the bottleneck in the explorations of more advanced algorithms.

In Processing-in-Memory (PIM) architecture, in contrast to the Von Neumann architecture, memory and processor are fused together and computations are performed where data is stored with minimal data movement.

As such, computation parallelism and power efficiency can be significantly improved. We believe the innovations on PIM architecture are the tickets to next-generation AI.

Tech Trend #3 : Industrial IoT Will Power Digital Transformation

In 2020, 5G, rapid development of IoT devices, cloud computing and edge computing will accelerate the fusion of information system, communication system, and industrial control system.

Through advanced Industrial IoT, manufacturing companies can achieve automation of machines, in-factory logistics, and production scheduling, as a way to realise C2B smart manufacturing.

In addition, interconnected industrial system can adjust and coordinate the production capability of both upstream and downstream vendors.

Ultimately it will significantly increase the manufacturers’ productivity and profitability. For manufacturers with production goods that value hundreds of trillion RMB, If the productivity increases 5-10%, it means additional trillions of RMB.

Tech Trend #4 : Large Scale Collaboration Between Machines Become Possible

Traditional single intelligence cannot meet the real-time perception and decision of large-scale intelligent devices.

The development of collaborative sensing technology of Internet of things and 5G communication technology will realise the collaboration among multiple agents – machines cooperate with each other and compete with each other to complete the target tasks.

The group intelligence brought by the cooperation of multiple intelligent bodies will further amplify the value of the intelligent system:

  • large-scale intelligent traffic light dispatching will realise dynamic and real-time adjustment,
  • warehouse robots will work together to complete cargo sorting more efficiently,
  • driverless cars can perceive the overall traffic conditions on the road, and
  • group unmanned aerial vehicle (UAV) collaboration will get through the last-mile delivery more efficiently.

Tech Trend #5 : Modular Chiplet Design Makes Chips Easier & Faster To Create

Traditional model of chip design cannot efficiently respond to the fast evolving, fragmented and customised needs of chip production.

The open source SoC chip design based on RISC-V, high-level hardware description language, and IP-based modular chip design methods have accelerated the rapid development of agile design methods and the ecosystem of open source chips.

In addition, the modular design method based on chiplets uses advanced packaging methods to package the chiplets with different functions together, which can quickly customise and deliver chips that meet specific requirements of different applications.

Tech Trend #6 : Large Scale Blockchain Applications Will Gain Mass Adoption

BaaS (Blockchain-as-a-Service) will further reduce the barriers of entry for enterprise blockchain applications.

A variety of hardware chips embedded with core algorithms used in edge, cloud and designed specifically for blockchain will also emerge, allowing assets in the physical world to be mapped to assets on blockchain, further expanding the boundaries of the Internet of Value and realising “multi-chain interconnection”.

In the future, a large number of innovative blockchain application scenarios with multi-dimensional collaboration across different industries and ecosystems will emerge, and large-scale production-grade blockchain applications with more than 10 million DAI (Daily Active Items) will gain mass adoption.

Tech Trend #7 : A Critical Period Before Large-Scale Quantum Computing

In 2019, the race in reaching “Quantum Supremacy” brought the focus back to quantum computing. The demonstration, using superconducting circuits, boosts the overall confidence on superconducting quantum computing for the realisation of a large-scale quantum computer.

In 2020, the field of quantum computing will receive increasing investment, which comes with enhanced competitions. The field is also expected to experience a speed-up in industrialization and the gradual formation of an eco-system.

In the coming years, the next milestones will be the realization of fault-tolerant quantum computing and the demonstration of quantum advantages in real-world problems. Either is of a great challenge given the present knowledge. Quantum computing is entering a critical period.

Tech Trend #8 : New Materials Will Revolutionise Semiconductor Devices

Under the pressure of both Moore’s Law and the explosive demand of computing power and storage, it is difficult for classic Si based transistors to maintain sustainable development of the semiconductor industry.

Until now, major semiconductor manufacturers still have no clear answer and option to chips beyond 3nm. New materials will make new logic, storage, and interconnection devices through new physical mechanisms, driving continuous innovation in the semiconductor industry.

For example, topological insulators, two-dimensional superconducting materials, etc. that can achieve lossless transport of electron and spin can become the basis for new high-performance logic and interconnect devices; while new magnetic materials and new resistive switching materials can realize high-performance magnetics Memory such as SOT-MRAM and resistive memory.

Tech Trend #9 : Growing Adoption Of AI Technologies That Protect Data Privacy

The compliance costs demanded by the recent data protection laws and regulations related to data transfer are getting increasingly higher than ever before.

In light of this, there have been growing interests in using AI technologies to protect data privacy. The essence is to enable the data user to compute a function over input data from different data providers while keeping those data private.

Such AI technologies promise to solve the problems of data silos and lack of trust in today’s data sharing practices, and will truly unleash the value of data in the foreseeable future.

Tech Trend #10 : Cloud Becomes The Center Of IT Innovation

With the ongoing development of cloud computing technology, the cloud has grown far beyond the scope of IT infrastructure, and gradually evolved into the center of all IT technology innovations.

Cloud has close relationship with almost all IT technologies, including new chips, new databases, self-driving adaptive networks, big data, AI, IoT, blockchain, quantum computing and so forth.

Meanwhile, it creates new technologies, such as serverless computing, cloud-native software architecture, software-hardware integrated design, as well as intelligent automated operation.

Cloud computing is redefining every aspect of IT, making new IT technologies more accessible for the public. Cloud has become the backbone of the entire digital economy.

 

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