Tenstorrent, a hardware start-up developing next generation computers, announces the addition of industry veteran Jim Keller as President, CTO, and board member. "Tenstorrent was founded on the belief that the ongoing shift towards ML-centric software necessitates a corresponding transformation in computational capabilities," said Ljubisa Bajic, Tenstorrent's CEO. "There is nobody more capable of executing this vision than Jim Keller, a leader who is equally great at designing computers, cultures, and organizations. I am thrilled to be working with Jim and beyond excited about the possibilities our partnership unlocks."

As CTO, Keller will lead Tenstorrent's efforts to be the hardware solution needed to address Software 2.0, the exciting industry shift towards using machine learning methods to solve problems previously addressed by traditional software. "Software 2.0 is the largest opportunity for computing innovation in a long time. Victory requires a comprehensive re-thinking of compute and low level software," Keller said. "Tenstorrent has made impressive progress, and with the most promising architecture out there, we are poised to become a next gen computing giant."

Tachyum Inc. today announced that it is signing early adopter customers for the software emulation system for its Prodigy Universal Processor, customers may begin the process of native software development (i.e. using Prodigy Instruction Set Architecture) and porting applications to run on Prodigy. Prodigy software emulation systems will be available at the end of January 2021.

Customers and partners can use Prodigy's software emulation for evaluation, development and debug, and with it, they can begin to transition existing applications that demand high performance and low power to run optimally on Prodigy processors. Pre-built systems include a Prodigy emulator, native Linux, toolchains, compilers, user mode applications, x86, ARM and RISC-V emulators. Software updates will be issued as needed.

During its GPU Technology Conference (GTC) in China, Mr. Bill Dally—NVIDIA's chief scientist and SVP of research—has presented many interesting things about how the company plans to push the future of HPC, AI, graphics, healthcare, and edge computing. Mr. Dally has presented NVIDIA's research efforts and what is the future vision for its products. Among one of the most interesting things presented was a plan to ditch the standard electrical data transfer and use the speed of light to scale and advance node communication. The new technology utilizing optical data transfer is supposed to bring the power required to transfer by a significant amount.

The proposed plan by the company is to use an optical NVLink equivalent. While the current NVLink 2.0 chip uses eight pico Joules per bit (8 pJ/b) and can send signals only to 0.3 meters without any repeaters, the optical replacement is capable of sending data anywhere from 20 to 100 meters while consuming half the power (4 pJ/b). NVIDIA has conceptualized a system with four GPUs in a tray, all of which are connected by light. To power such a setup, there are lasers that produce 8-10 wavelengths. These wavelengths are modulated onto this at a speed of 25 Gbit/s per wavelength, using ring resonators. On the receiving side, ring photodetectors are used to pick up the wavelength and send it to the photodetector. This technique ensures fast data transfer capable of long distances.

Today, at Intel's Memory and Storage 2020 event, the company highlighted six new memory and storage products to help customers meet the challenges of digital transformation. Key to advancing innovation across memory and storage, Intel announced two new additions to its Intel Optane Solid State Drive (SSD) Series: the Intel Optane SSD P5800X, the world's fastest data center SSD, and the Intel Optane Memory H20 for client, which features performance and mainstream productivity for gaming and content creation. Optane helps meet the needs of modern computing by bringing the memory closer to the CPU. The company also revealed its intent to deliver its 3rd generation of Intel Optane persistent memory (code-named "Crow Pass") for cloud and enterprise customers.

"Today is a key moment for our memory and storage journey. With the release of these new Optane products, we continue our innovation, strengthen our memory and storage portfolio, and enable our customers to better navigate the complexity of digital transformation. Optane products and technologies are becoming a mainstream element of business compute. And as a part of Intel, these leadership products are advancing our long-term growth priorities, including AI, 5G networking and the intelligent, autonomous edge." -Alper Ilkbahar, Intel vice president in the Data Platforms Group and general manager of the Intel Optane Group.

NVIDIA's Deep Learning Super Sampling (DLSS) technology uses advanced methods to offload sampling in games to the Tensor Cores, dedicated AI processors that are present on all of the GeForce RTX cards, including the prior Turing generation and now Ampere. NVIDIA promises that the inclusion of DLSS is promising to deliver up to a 40% performance boost, or even more. Today, the company has announced that DLSS is getting support in Cyberpunk 2077, Minecraft RTX, Mount & Blade II: Bannerlord, CRSED: F.O.A.D., Scavengers, and Moonlight Blade. The inclusion of these titles is now making NVIDIA's DLSS technology present in a total of 32 titles, which is no small feat for new technology.Below, you can see the company provided charts about the performance of DLSS inclusion in the new titles, except the Cyberpunk 2077.
Update: The Cyberpunk 2077 performance numbers were leaked (thanks to kayjay010101 on TechPowerUp Forums), and you can check them out as well.

During the first day of the Snapdragon Tech Summit Digital, Qualcomm Incorporated President, Cristiano Amon took the virtual stage with global industry leaders to highlight the critical role Qualcomm Snapdragon 8-Series mobile platforms have played to drive experiences forward for the next generation of devices. Qualcomm Technologies' innovation in the premium tier, coupled with the evolution of 5G, is accelerating and continuing to redefine immersive consumer experiences. The proliferation of these premium tier experiences has and will continue to enrich the lives of billions of smartphone users around the world.

"Creating premium experiences takes a relentless focus on innovation. It takes long term commitment, even in the face of immense uncertainty," said Cristiano Amon, president, Qualcomm Incorporated. "It takes an organization that's focused on tomorrow, to continue to deliver the technologies that redefine premium experiences."

The 56th edition of the TOP500 saw the Japanese Fugaku supercomputer solidify its number one status in a list that reflects a flattening performance growth curve. Although two new systems managed to make it into the top 10, the full list recorded the smallest number of new entries since the project began in 1993.

The entry level to the list moved up to 1.32 petaflops on the High Performance Linpack (HPL) benchmark, a small increase from 1.23 petaflops recorded in the June 2020 rankings. In a similar vein, the aggregate performance of all 500 systems grew from 2.22 exaflops in June to just 2.43 exaflops on the latest list. Likewise, average concurrency per system barely increased at all, growing from 145,363 cores six months ago to 145,465 cores in the current list.

NVIDIA today introduced the next generation of NVIDIA Mellanox 400G InfiniBand, giving AI developers and scientific researchers the fastest networking performance available to take on the world's most challenging problems.

As computing requirements continue to grow exponentially in areas such as drug discovery, climate research and genomics, NVIDIA Mellanox 400G InfiniBand is accelerating this work through a dramatic leap in performance offered on the world's only fully offloadable, in-network computing platform. The seventh generation of Mellanox InfiniBand provides ultra-low latency and doubles data throughput with NDR 400 Gb/s and adds new NVIDIA In-Network Computing engines to provide additional acceleration.

Intel's chief architect and senior vice president of discrete graphics division, Mr. Raja Koduri, is said to be scheduled to present at Samsung Electronics Event day. With a presentation titled "1000X More Compute for AI by 2025", the event is called Samsung Foundry SAFE Forum. It is a global virtual conference designed to be available to everyone. So you might be wondering what is Mr. Koduri doing there. Unless you have been living under a rock, you know about Intel's struggles with node manufacturing. Specifically, the 10 nm node delays that show the company's efforts to deliver a node on time. The same is happening with the 7 nm node that also experienced significant delays.

Intel has a contract to develop an exascale supercomputer at Argonne National Laboratory, called Aurora. That supercomputer is using Intel's CPUs and the company's upcoming Xe GPUs. Since the company has problems with manufacturing and has to deliver the products (it is bound by several contracts) to its contractors and customers, it decided to look at external manufacturers for its products, specifically Xe graphics. Being that Mr. Koduri tweeted an image of him visiting Samsung Giheung Fab in Korea, and now presenting at the Samsung Foundry event, it is possible that Intel will tap Samsung's semiconductor manufacturing process for its Xe GPU efforts and that Samsung will be the contractor in charge.

DIALOG SEMICONDUCTOR, a leading provider of battery and power management, Wi-Fi and Bluetooth low energy (BLE) and Industrial edge computing solutions and GLOBALFOUNDRIES (GF ), the world's leading specialty foundry, today announced that they have entered into an agreement in which Dialog licenses its Conductive Bridging RAM (CBRAM) technology to GLOBALFOUNDRIES. The resistive ram (ReRAM)-based technology was pioneered by Adesto Technologies which was recently acquired by Dialog Semiconductor in 2020. GLOBALFOUNDRIES will first offer Dialog's CBRAM as an embedded, non-volatile memory (NVM) option on its 22FDX platform, with the plan to extend to other platforms.

Dialog's proprietary and production proven CBRAM technology is a low power NVM solution designed to enable a range of applications from IoT and 5G connectivity to artificial intelligence (AI). Low power consumption, high read/write speeds, reduced manufacturing costs and tolerance for harsh environments make CBRAM particularly suitable for consumer, medical, and select industrial and automotive applications. Furthermore, CBRAM technology enables cost-effective embedded NVM for advanced technology nodes required for products in these markets.

NVIDIA today announced that the Italian inter-university consortium CINECA—one of the world's most important supercomputing centers—will use the company's accelerated computing platform to build the world's fastest AI supercomputer.

The new "Leonardo" system, built with Atos, is expected to deliver 10 exaflops of FP16 AI performance to enable advanced AI and HPC converged application use cases. Featuring nearly 14,000 NVIDIA Ampere architecture-based GPUs and NVIDIA Mellanox HDR 200 Gb/s InfiniBand networking, Leonardo will propel Italy as the global leader in AI and high performance computing research and innovation.

Editor's Note: This is written by Arm vice president and general manager Paul Williamson.

Over the last year, I have been inspired by the innovators who are dreaming up solutions to improve and enrich our daily lives. Tomorrow's mobile applications will be even more imaginative, immersive, and intelligent. To that point, the industry has come such a long way in making this happen. Take app stores for instance - we had the choice of roughly 500 apps when smartphones first began shipping in volume in 2007 and today there are 8.9 million apps available to choose from.

Mobile has transformed from a simple utility to the most powerful, pervasive device we engage with daily, much like Arm-based chips have progressed to more powerful but still energy-efficient SoCs. Although the chip-level innovation has already evolved significantly, more is still required as use cases become more complex, with more AI and ML workloads being processed locally on our devices.

NVIDIA today announced that it is building the United Kingdom's most powerful supercomputer, which it will make available to U.K. healthcare researchers using AI to solve pressing medical challenges, including those presented by COVID-19.

Expected to come online by year end, the "Cambridge-1" supercomputer will be an NVIDIA DGX SuperPOD system capable of delivering more than 400 petaflops of AI performance and 8 petaflops of Linpack performance, which would rank it No. 29 on the latest TOP500 list of the world's most powerful supercomputers. It will also rank among the world's top 3 most energy-efficient supercomputers on the current Green500 list.

Seagate Technology plc, a world leader in data storage and management solutions, today announced it is shipping 18 TB SkyHawk Artificial Intelligence drives in volume. SkyHawk AI is the world's first purpose-built hard drive for artificial intelligence (AI)-enabled Surveillance solutions, enabling quicker and smarter decisions. The new drive supports deep learning and machine learning workload streams for Edge applications with ImagePerfectAI.

The capacity to retain more data over time is required for deep learning systems to become smarter and more accurate in their predictive analysis, and behavior analysis requires significantly more data than traditional video capture. SkyHawk AI simultaneously sustains 32 AI streams alongside 64 video streams and supports multi-bay NVR and AI-enabled NVR. SkyHawk AI offers a 550 TB/year workload rate, more than 3× the workload rate of standard surveillance hard drives in order to manage data deluge in complex video security system environments without sacrificing performance. This drive intelligently adapts between traditional video workloads and video+AI workloads.

In the era of Artificial Intelligence of Things (AIoT), Industrial PC (IPC) is expected more than just a computer for general data processing. Faced with the increasing workload at the edge, end devices are required to be smart, automated and interconnected, which reflects on the demands of AI computing and M2M (Machine-to-Machine) communication in small-sized PCs.

The demand for AI computing emerged on the account of the decentralization trends in recent years to reduce cloud computing workloads and costs, and to reinforce AI performance at the edge, high-end embedded solutions is a must. But to downsize them and meanwhile support the conditions required by edge environments, like tight spaces and abrupt temperature changes, it's definitely a challenge for IPC manufactures.

Intel Corp. and Lightbits Labs today announced an agreement to propel development of disaggregated storage solutions to solve the challenges of today's data center operators who are craving improved total-cost-of-ownership (TCO) due to stranded disk capacity and performance. This strategic partnership includes technical co-engineering, go-to-market collaboration and an Intel Capital investment in Lightbits Labs. Lightbits' LightOS product delivers high-performance shared storage across servers while providing high availability and read-and-write management designed to maximize the value of flash-based storage. LightOS, while being fully optimized for Intel hardware, provides customers with vastly improved storage efficiency and reduces underutilization while maintaining compatibility with existing infrastructure without compromising performance and simplicity.

Lightbits Labs will enhance its composable disaggregated software-defined storage solution, LightOS, for Intel technologies, creating an optimized software and hardware solution. The system will utilize Intel Optane persistent memory and Intel 3D NAND SSDs based on Intel QLC Technology, Intel Xeon Scalable processors with unique built-in artificial intelligence (AI) acceleration capabilities and Intel Ethernet 800 Series Network Adapters with Application Device Queues (ADQ) technology. Intel's leadership FPGAs for next-generation performance, flexibility and programmability will complement the solution.

Lenovo is very excited to unveil the latest addition to our premium X1 portfolio, ThinkPad X1 Nano. The lightest ThinkPad ever at just 1.99 pounds (907 g) breaks new ground for performance and functionality in an incredibly featherweight package. Lenovo's first ThinkPad based on Intel Evo platform and powered by 11th Gen Intel Core processors, the X1 Nano delivers supreme speed and intelligence while maintaining outstanding battery life. Stunning visuals are delivered through a narrow bezel 13-inch 2K display with a 16:10 aspect ratio, and four speakers and four 360-degree microphones enhance the audio-visual capabilities. For a truly immersive user experience, the X1 Nano supports Dolby Vision and Dolby Atmos. State of the art connectivity is provided by WiFi 65 and optional 5G will deliver higher bandwidth capability and drive new levels of always on always connected efficiency and collaboration in a new hybrid working world.

Lenovo today is also delighted to announce that the world's first foldable PC, ThinkPad X1 Fold, is available to order and will ship in a few weeks. A pinnacle of engineering innovation, the X1 Fold offers a revolutionary mix of portability and versatility that defines a new computing category enabled by Intel Core processors with Intel Hybrid Technology and made possible by Intel's Project Athena innovation program. Blending familiar functionality that we all know from smartphones, tablets and laptops into a single foldable PC device that will forever reshape the way you work, play, create and connect. With optional 5G, you can trust that your connection speed is more secure and optimized where available and that you are better protected with ThinkShield security features. Find out more how ThinkPad X1 Fold is pioneering a new category: A Game Changing Category

AAEON, an industry leader in AI Edge Computing, announces the BOXER-8222AI compact system powered by NVIDIA Jetson Nano. Featuring a PoE PD LAN port, the BOXER-8222AI can be powered by a PSE Gateway allowing for deployment without requiring a dedicated power supply.

The BOXER-8222AI is the latest platform in AAEON's family of compact rugged AI systems powered by the innovative and energy efficient NVIDIA Jetson Nano SoC. Specialized for AI edge computing, the Jetson Nano utilizes the quad-core ARM Cortex -A57 MPCore processor with NVIDIA Maxwell GPU architecture featuring 128 NVIDIA CUDA cores. This innovative design allows processing speeds up to 472 GFLOPs and is capable of operating multiple neural networks or processing several high-resolution images at the same time. The NVIDIA Jetson Nano also features onboard 4 GB RAM and MicroSD card slot supporting up to 32 GB of storage.

Today at the Intel Industrial Summit 2020, Intel announced new enhanced internet of things (IoT) capabilities. The 11th Gen Intel Core processors, Intel Atom x6000E series, and Intel Pentium and Celeron N and J series bring new artificial intelligence (AI), security, functional safety and real-time capabilities to edge customers. With a robust hardware and software portfolio, an unparalleled ecosystem and 15,000 customer deployments globally, Intel is providing robust solutions for the $65 billion edge silicon market opportunity by 2024.

"By 2023, up to 70% of all enterprises will process data at the edge. 11th Gen Intel Core processors, Intel Atom x6000E series, and Intel Pentium and Celeron N and J series processors represent our most significant step forward yet in enhancements for IoT, bringing features that address our customers' current needs, while setting the foundation for capabilities with advancements in AI and 5G," said John Healy, Intel vice president of the Internet of Things Group and general manager of Platform Management and Customer Engineering.

Qualcomm Technologies, Inc. announced a new 5G mobile platform in the 7-series, the Qualcomm Snapdragon 750G 5G Mobile Platform, which enables truly global 5G with brilliant HDR gaming and amazing on-device AI. To date, there have been more than 275 designs announced or in development based on Snapdragon 7-series mobile platforms, including 140 5G designs.

"We continue to see great traction with our high-tier Snapdragon 7-series 5G mobile platforms," said Kedar Kondap, vice president of product management, Qualcomm Technologies, Inc. "As we continue to build out this relatively new tier of our mobile roadmap, we're always looking for ways to support the growing needs of our OEM customers. Snapdragon 750G delivers a selection of premium mobile features to an even wider audience."

Qualcomm Technologies, Inc., a subsidiary of Qualcomm Incorporated, is powering better-than-ever virtual reality (VR) gameplay and experiences with the launch of Oculus Quest 2, the first-to-launch VR device powered by the Qualcomm Snapdragon XR2 Platform. Oculus Quest 2 is a culmination of years of collaboration between Qualcomm Technologies and Facebook to create the most advanced and immersive gaming VR experiences for consumers to-date.

Purpose-built for extended reality (XR), the Snapdragon XR2 Platform unlocks staggering improvements including twice the CPU and GPU performance compared to its predecessor which powers the original Oculus Quest headset. The Snapdragon XR2 Platform delivers significant performance enhancements in Oculus Quest 2 including:

Qualcomm Technologies, Inc., a subsidiary of Qualcomm Incorporated, announced the Qualcomm Cloud AI 100, a high-performance AI inference accelerator, is shipping to select worldwide customers. Qualcomm Cloud AI 100 uses advanced signal processing and cutting-edge power efficiency to support AI solutions for multiple environments including the datacenter, cloud edge, edge appliance, and 5G infrastructure. The newly announced Qualcomm Cloud AI 100 Edge Development Kit is engineered to accelerate adoption of edge applications by offering a complete system solution for AI processing up to 24 simultaneous 1080p video streams along with 5G connectivity.

"Qualcomm Technologies is well positioned to support complete edge-to-cloud high performance AI solutions that lead the industry in performance per watt," said Keith Kressin, senior vice president and general manager, computing and edge cloud, Qualcomm Technologies. "Qualcomm Cloud AI 100 is now shipping to select worldwide customers and we look forward to seeing commercial products launch in the first half of 2021."

NVIDIA and SoftBank Group Corp. (SBG) today announced a definitive agreement under which NVIDIA will acquire Arm Limited from SBG and the SoftBank Vision Fund (together, "SoftBank") in a transaction valued at $40 billion. The transaction is expected to be immediately accretive to NVIDIA's non-GAAP gross margin and non-GAAP earnings per share.

The combination brings together NVIDIA's leading AI computing platform with Arm's vast ecosystem to create the premier computing company for the age of artificial intelligence, accelerating innovation while expanding into large, high-growth markets. SoftBank will remain committed to Arm's long-term success through its ownership stake in NVIDIA, expected to be under 10 percent.

Rambus Inc. (NASDAQ: RMBS), a premier silicon IP and chip provider making data faster and safer, today announced it has achieved a record 4 Gbps performance with the Rambus HBM2E memory interface solution consisting of a fully-integrated PHY and controller. Paired with the industry's fastest HBM2E DRAM from SK hynix operating at 3.6 Gbps, the solution can deliver 460 GB/s of bandwidth from a single HBM2E device. This performance meets the terabyte-scale bandwidth needs of accelerators targeting the most demanding AI/ML training and high-performance computing (HPC) applications.

"With this achievement by Rambus, designers of AI and HPC systems can now implement systems using the world's fastest HBM2E DRAM running at 3.6 Gbps from SK hynix," said Uksong Kang, vice president of product planning at SK hynix. "In July, we announced full-scale mass-production of HBM2E for state-of-the-art computing applications demanding the highest bandwidth available."

Qualcomm Technologies, Inc. today announced at Internationale Funkausstellung (IFA) Berlin the Qualcomm Snapdragon 8cx Gen 2 5G compute platform, the company's most advanced and efficient compute platform. Users will benefit from superior performance and multi-day battery life*, 5G connectivity, enterprise-grade security and AI acceleration, as well as advanced camera and audio technology. These features will enable and support the digital transformation and mobility needs for remote productivity and learning experiences. The Snapdragon 8cx Gen 2 is designed to enable industry leading 5G PC experiences and build on the innovative first-generation Snapdragon 8cx 5G compute platform, which powered the World's First 5G PC.

"Working remotely is the new reality, and more businesses are looking to quickly and securely connect their employee base, accelerating the need for always on, always connected PCs that are thin, light and truly mobile, equipped with blazing fast 5G cellular and Wi-Fi 6 connectivity, and coupled with multi-day battery-life to boost productivity," said Miguel Nunes, Senior Director, Product Management, Qualcomm Technologies, Inc. "We are excited to expand our customer reach with Acer, to continue bringing the best of the Smartphone to the PC. Together, we will deliver cutting-edge devices and experiences to consumers and businesses, enabling them to connect, create and collaborate anytime from virtually anywhere."