On Day 2 of Intel Innovation, Intel illustrated how its efforts and investments to foster an open ecosystem catalyze community innovation, from silicon to systems to apps and across all levels of the software stack. Through an expanding array of platforms, tools and solutions, Intel is focused on helping developers become more productive and more capable of realizing their potential for positive social good. The company introduced new tools to support developers in artificial intelligence, security and quantum computing, and announced the first customers of its new Project Amber attestation service.

"We are making good on our software-first strategy by empowering an open ecosystem that will enable us to collectively and continuously innovate," said Intel Chief Technology Officer Greg Lavender. "We are committed members of the developer community and our breadth and depth of hardware and software assets facilitate the scaling of opportunities for all through co-innovation and collaboration."

Flex Logix Technologies, Inc., supplier of high performance and efficient edge AI inference accelerators and the leading supplier of eFPGA IP, today announced the InferX Hawk - a hardware and software-ready Mini-ITX x86 system designed to help customers quickly and easily customize, build and deploy edge and embedded AI systems. The InferX Hawk system includes the Flex Logix InferX X1 AI accelerator chip, AMD Ryzen Embedded R2314 SoC, InferX Runtime software, and the EasyVision platform running Linux or Windows to deliver an integrated low power, high-performance AI system.

The AMD Ryzen Embedded R2314 delivers performance per watt efficiency using "Zen+" core architecture and Radeon Graphics. With the Hawk Mini-ITX solution, customers can save over six months of hardware and software development time, additional system costs and power over NVIDIA and other solutions.

Achronix Semiconductor Corporation, a leader in high-performance FPGAs and embedded FPGA (eFPGA) IP, today announced that their VectorPath accelerator card featuring the Speedster 7t FPGA has been certified by PCI-SIG and added to the CEM Add-In card integrators list supporting PCIe Gen4 x16. The VectorPath S7t-VG6 accelerator card is designed to reduce time to market when developing high-performance compute and acceleration functions for AI, ML, networking and data center applications. The VectorPath accelerator cards are available and shipping today for new orders.

"Achronix is an important, strategic partner for BittWare. The Speedster7t FPGA has an innovative architecture that provides significant differentiation in the high-performance FPGA market segment," said Craig Petrie, VP of sales and marketing at BittWare. "Designers can now use the VectorPath accelerator card in PCIe Gen4-based system with the confidence of PCI-SIG certification."

MIPS, a leading developer of highly scalable RISC processor IP, announced it is working with Intel to accelerate innovation in open computing. As part of this effort, MIPS' eVocore is being incorporated into the new Intel Pathfinder for RISC-V, a platform designed to deliver new capabilities for pre-silicon development. Intel Pathfinder allows new ways for System-on-a-Chip (SoC) architects and system software developers to define new products and pursue pre-silicon software development on RISC-V.

"MIPS is thrilled to be part of the Intel Pathfinder for RISC-V platform, providing high performance cores with support for multi-cluster, multi-core and multi-threading to accelerate innovation," said Desi Banatao, MIPS CEO. "These multiprocessors have unique features and a high level of scalability that make them ideal for compute-intensive tasks across a broad range of markets and applications."

Based on media reports out of Taiwan, TSMC seems to have plenty of customers lined up for its 3 nm node, with Apple being the first customer out the gates when production starts sometime next month. However, TSMC is only expected to start the production with a mere 1,000 wafer starts a month, which seems like a very low figure, especially as this is said to remain unchanged through all of Q4. On the plus side, yields are expected to be better than the initial 5 nm node yields. Full-on mass production for the 3 nm node isn't expected to happen until the second half of 2023 and TSMC will also kick off its N3E node sometime in 2023.

Apart from Apple, major customers for the 3 nm node include AMD, Broadcom, Intel, MediaTek, NVIDIA and Qualcomm. Contrary to earlier reports by TrendForce, it appears that TSMC will continue its rollout of the 3 nm node as previously planned. Apple is expected to produce the A17 smartphone and tablet SoC, as well as advanced versions of the M2, as well as the M3 laptop and desktop processors on the 3 nm node. Intel is still said to be producing its graphics chiplets with TSMC, with the potential for GPU and FPGA products in the future. There's no word on what the other customers are planning to produce on the 3 nm node, but MediaTek and Qualcomm are obviously looking at using the node for future smartphone and tablet SoCs, with AMD and NVIDIA most likely aiming for upcoming GPUs and Broadcom for some kind of HPC related hardware.

SMART Modular Technologies, Inc. ("SMART"), a division of SGH and a global leader in memory solutions, solid-state drives, and hybrid storage announces its new Compute Express Link (CXL) Memory Module, the XMM CXL memory module. SMART's new DDR5 XMM CXL modules helps boost server and data center performance by enabling cache coherent memory to be added behind the CXL interface, further expanding big data processing capabilities beyond the current 8-channel/12-channel limitations of most servers.

The industry adoption of composable serial-attached memory architecture enables a whole new era for the memory module industry. Serial-attached memory adds capacity and bandwidth capabilities beyond main memory DIMM modules. Servers with XMM CXL modules can be dynamically configured for different applications and workloads without being shut down. Memory can be shared across nodes to meet throughput and latency requirements.

BittWare, a Molex company, a leading supplier of enterprise-class accelerators for edge and cloud-computing applications, today introduced new card and server-level solutions featuring Intel Agilex FPGAs. The new BittWare IA-860m helps customers alleviate memory-bound application workloads by leveraging up to 32 GB of HBM2E in-package memory and 16-lanes of PCIe 5.0 (with CXL upgrade option). BittWare also added new Intel Agilex I-Series FPGA-based products with the introduction of the IA-440i and IA-640i accelerators, which support high-performance interfaces, including 400G Ethernet and PCIe 5.0 (CXL option). These newest models complement BittWare's existing lineup of Intel Agilex F-Series products to comprise one of the broadest portfolios of Intel Agilex FPGA-based offerings on the market. This announcement reinforces BittWare's commitment to addressing ever-increasing demands of high-performance compute, storage, network and sensor processing applications.

"BittWare is excited to apply Intel's advanced technology to solve increasingly difficult application problems, quickly and at low risk," said Craig Petrie, vice president, Sales and Marketing of BittWare. "Our longstanding collaboration with Intel, expertise with the latest development tools, including OneAPI, as well as alignment with Molex's global supply chain and manufacturing capabilities enable BittWare to reduce development time by 12-to-18 months while ensuring smooth transitions from proof-of-concept to volume product deployment."

GIGABYTE Technology, an industry leader in high-performance servers and workstations, today became the first-to-market with a dual-socket motherboard, MP72-HB0, that supports up to 256 Arm cores, making it ideal for cloud native workloads. Also, the launch includes two more servers, G242-P35 and G242-P36, to offer up to 120 TB of NVMe (Gen4) storage capacity paired with Ampere Altra or Ampere Altra Max processors. These GPU-centric servers and motherboard will quickly find a home with hyperscaler and cloud workloads. Altra Max processors have predictable high-performance by having a high core count CPU with one thread per core, 128 threads on a monolithic 128-core chip. Multi-socket support and a wealth of PCIe/CCIX lanes make the platform highly scalable. At the same time, there is industry-leading power efficiency/core, which is highly sought after by our customers.

Hot Chips 34, the upcoming semiconductor conference from Sunday, August 21 to Tuesday, August 23, 2022, will feature many significant contributions from folks like Intel, AMD, Tesla, and NVIDIA. Today, thanks to Intel's registration at the event, we discovered that the company would present its work on Meteor Lake and Arrow Lake processors with the novel Foveros 3D packaging. The all-virtual presentation from Intel will include talks about Ponte Vecchio GPU and its architecture, system, and software; Meteorlake and Arrowlake 3D Client Architecture Platform with Foveros; and some Xeon D and FPGA presentations. You can see the official website here for a complete list of upcoming talks.

As a little reminder, Meteor Lake is supposed to arrive next year, replacing the upcoming Raptor Lake design, and it has already ahs been pictured, which you can see below. The presentation will be recorded and all content posted on Hot Chips's website for non-attendees to catch up on.

Today AMD announced the Kria KR260 Robotics Starter Kit, the latest addition to the Kria portfolio of adaptive system-on-modules (SOMs) and developer kits. A scalable and out-of-the-box development platform for robotics, the Kria KR260 offers a seamless path to production deployment with the existing Kria K26 adaptive SOMs. With native ROS 2 support, the standard framework for robotics application development, and pre-built interfaces for robotics and industrial solutions, the new SOM starter kit enables rapid development of hardware-accelerated applications for robotics, machine vision and industrial communication and control.

"The Kria KR260 Robotics Starter Kits builds on the success of our Kria SOMs and KV260 Vision AI Starter Kit for AI and embedded developers, providing roboticists with a complete, out-of-the-box solution for this rapidly growing application space," said Chetan Khona, senior director of Industrial, Vision, Healthcare and Sciences Markets at AMD. "Roboticists will now be able to work in their standard development environment on a platform that has all the interfaces and capabilities needed to be up and running in less than an hour. The KR260 Starter Kit is an ideal platform to accelerate robotics innovation and easily take ideas to production at scale."

Samsung Electronics, the world leader in advanced memory technology, today announced its development of the industry's first 512-gigabyte (GB) Compute Express Link (CXL) DRAM, taking an important step toward the commercialization of CXL which will enable extremely high memory capacity with low latency in IT systems. Since introducing the industry's first CXL DRAM prototype with a field-programmable gate array (FPGA) controller in May 2021, Samsung has been working closely with data center, enterprise server and chipset companies to develop an improved, customizable CXL device.

The new CXL DRAM is built with an application-specific integrated circuit (ASIC) CXL controller and is the first to pack 512 GB of DDR5 DRAM, featuring four times the memory capacity and one-fifth the system latency over the previous Samsung CXL offering. "CXL DRAM will become a critical turning point for future computing structures by substantially advancing artificial intelligence (AI) and big data services, as we aggressively expand its usage in next-generation memory architectures including software-defined memory (SDM)," said Cheolmin Park, Vice President of Memory Global Sales & Marketing at Samsung Electronics, and Director of the CXL Consortium. "Samsung will continue to collaborate across the industry to develop and standardize CXL memory solutions, while fostering an increasingly solid ecosystem."

SMART Modular Technologies, Inc. ("SMART"), a division of SGH and a global leader in memory solutions, solid-state drives, and hybrid storage products, announces its new SMART Kestral PCIe Optane Memory Add-in-Card (AIC), which is able to add up to 2 TB of Optane Memory expansion on a PCIe-Gen4-x16 or PCIe-Gen3-x16 interface independent of the motherboard CPU. SMART's Kestral AICs accelerate selected algorithms by offloading software-defined storage functions from the host CPU to the Intel FPGA on the AIC. SMART's Kestral memory AICs are ideal for hyperscale, data center, and other similar environments that run large memory applications, and would benefit from memory acceleration or system acceleration through computational storage.

"With the advancement of new interconnect standards such as CXL and OpenCAPI, SMART's new family of SMART Kestral AICs addresses the industry's need for a variety of new memory module form factors and interfaces for memory expansion and acceleration," stated Mike Rubino, SMART Modular's vice president of engineering. "SMART is able to leverage our many years of experience in developing and productizing controller-based memory solutions to meet today's emerging and continually evolving memory add-on needs of server and storage system customers."

With the exponential growth of data in the world today, coupled with the shift from centralized clusters of compute and data storage to a more distributed architecture that processes data everywhere—in the cloud, at the edge, and at all points in between—Field-Programmable Gate Arrays (FPGAs) are taking on an increasingly important role in modern applications from the data center to the network to the edge. The flexibility, power efficiency, massively parallel architecture, and huge input/output (I/O) bandwidth make FPGAs attractive for accelerating a wide range of tasks from high-performance computing (HPC) to storage and networking. Many of these applications put enormous demands on memory, including capacity, bandwidth, latency and power efficiency.

To handle these high-demand applications, Intel today introduced product details for the Intel Agilex M-Series FPGAs, built on Intel 7 process technology, the industry's highest memory bandwidth FPGAs with in-package HBM DRAM. The Intel Agilex M-Series incorporates several new functional innovations and features that provide the industry with the high-speed networking, computing and memory acceleration required to meet ever-more ambitious performance and capability goals for networks, cloud and embedded edge applications.

AMD (NASDAQ: AMD) today announced the completion of its acquisition of Xilinx in an all-stock transaction. The acquisition, originally announced on October 27, 2020, creates the industry's high-performance and adaptive computing leader with significantly expanded scale and the strongest portfolio of leadership computing, graphics and adaptive SoC products. AMD expects the acquisition to be accretive to non-GAAP margins, non-GAAP EPS and free cash flow generation in the first year.

"The acquisition of Xilinx brings together a highly complementary set of products, customers and markets combined with differentiated IP and world-class talent to create the industry's high-performance and adaptive computing leader," said AMD President and CEO Dr. Lisa Su. "Xilinx offers industry-leading FPGAs, adaptive SoCs, AI engines and software expertise that enable AMD to offer the strongest portfolio of high-performance and adaptive computing solutions in the industry and capture a larger share of the approximately $135 billion market opportunity we see across cloud, edge and intelligent devices."

AMD (NASDAQ: AMD) today announced that it has received approval from all necessary authorities to proceed with the acquisition of Xilinx, Inc. (NASDAQ: XLNX). With the exception of the remaining customary closing conditions, all conditions to the transaction closing have been satisfied and the company expects the transaction to close on or about February 14, 2022.

AMD announced its intention to acquire Xilinx in an all-stock transaction on October 27, 2020. The transaction brings together two industry leaders with complementary product portfolios and customers, combining CPUs, GPUs, FPGAs, Adaptive SoCs and deep software expertise to enable leadership computing platforms for cloud, edge and intelligent end devices.

Rambus Inc., a premier chip and silicon IP provider making data faster and safer, today announced the availability of its PCI Express (PCIe ) 6.0 Controller. The PCIe specification is the interconnect of choice across a broad landscape of data-intensive markets including data center, AI/ML, HPC, automotive, IoT, defense and aerospace. Optimized for power, area and latency, the Rambus PCIe 6.0 controller delivers data rates up to 64 Gigatransfers per second (GT/s) for high-performance applications. In addition, the controller provides state-of-the-art security with an Integrity and Data Encryption (IDE) engine that monitors and protects PCIe links against physical attacks.

"The rapid advancement of AI/ML and data-intensive workloads requires that we continue to provide higher data rate solutions with best-in-class latency, power and area," said Sean Fan, chief operating officer at Rambus. "As the latest addition to our portfolio of industry-leading interface IP, our PCIe 6.0 Controller offers customers an easy to integrate solution that delivers both performance and security for advanced SoCs and FPGAs."

Intel is reportedly looking to disrupt the cryptocurrency mining hardware business with fixed-function ASICs that either outperform GPUs, or end up with lower enough performance/Watt or performance/Dollar to take make GPUs unviable as a mining hardware option. The company is planning to unveil its first such product, codenamed "Bonanza Mine," an ASIC purpose-built for Bitcoin mining.

Since it's an ASIC, "Bonanza Mine" doesn't appear to be a re-purposed Xe-HPC processor, or even an FPGA that's been programmed to mine Bitcoin. It's a purpose-built piece of silicon. Intel will unveil "Bonanza Mine" at the 2022 ISSCC Conference. It describes the chip as being an "ultra low-voltage energy-efficient Bitcoin mining ASIC," putting power-guzzling GPUs on notice. If Intel can clinch Bitcoin with "Bonanza Lake," designing ASICs for other cryptocurrencies is straightforward. With demand from crypto-miners slashed, graphics cards will see a tremendous fall in value, forcing scalpers to cut prices.

Driven by forces such as the pandemic, geopolitics, and the digital transformation of everyday life, there has been a shortage of global foundry production capacity for nearly two years and shortages have been especially severe for mature 1Xnm~180nm nodes, according to TrendForce's investigations. Although all foundries are furiously increasing capital expenditures to expand capacity, unrealized future expansion does not ease existing supply issues. In addition, the uneven distribution of supply chain resources that has exacerbated the shortage of parts and components has yet to be definitively alleviated. Circumstances as a whole will continue affecting shipments of related whole devices. Only the PC category is expected to emerge largely unscathed in 1Q22.

Moving into 1Q22, TrendForce states, due to the limited increase in production capacity, the market's supply situation is expected to be approximately the same as in 4Q21. However, some end products have entered their traditional off-season cycle and the slowdown in demand momentum is expected to alleviate the immediate pressure on OEMs and ODMs regarding supply chain stocking.

Intel today released oneAPI 2022 toolkits. Newly enhanced toolkits expand cross-architecture features to provide developers greater utility and architectural choice to accelerate computing. "I am impressed by the breadth of more than 900 technical improvements that the oneAPI software engineering team has done to accelerate development time and performance for critical application workloads across Intel's client and server CPUs and GPUs. The rich set of oneAPI technologies conforms to key industry standards, with deep technical innovations that enable applications developers to obtain the best possible run-time performance from the cloud to the edge. Multi-language support and cross-architecture performance acceleration are ready today in our oneAPI 2022 release to further enable programmer productivity on Intel platforms," said Greg Lavender, Intel chief technology officer, senior vice president and general manager of the Software and Advanced Technology Group.

New capabilities include the world's first unified compiler implementing C++, SYCL and Fortran, data parallel Python for CPUs and GPUs, advanced accelerator performance modeling and tuning, and performance acceleration for AI and ray tracing visualization workloads. The oneAPI cross-architecture programming model provides developers with tools that aim to improve the productivity and velocity of code development when building cross-architecture applications.

Optical computing has been the research topic of many startups and tech companies like Intel and IBM, searching for the practical approach to bring a new way of computing. However, the most innovative solutions often come out of startups and today is no exception. According to the report from EETimes, optical computing startup Lightelligence has developed a processor that outperforms regular GPUs by 100 times in calculating some of the most challenging mathematical problems. As the report indicates, the Photonic Arithmetic Computing Engine (PACE) from Lightelligence manages to outperform regular GPUs, like NVIDIA's GeForce RTX 3080, by almost 100 times in the NP-complete class of problems.

More precisely, the PACE accelerator was tackling the Ising model, an example of a thermodynamic system used for understanding phase transitions, and it achieved some impressive results. Compared to the RTX 3080, it reached 100 times greater speed-up. All of that was performed using 12,000 optical devices integrated onto a circuit and running at 1 GHz frequency. Compared to the purpose-built Toshiba's simulated bifurcation machine based on FPGAs, the PACE still outperforms this system designed to tackle the Ising mathematical computation by 25 times. The PACE chip uses standard silicon photonics integration of Mach-Zehnder Interferometer (MZI) for computing and MEMS to change the waveguide shape in the MZI.

Xilinx, Inc., the leader in adaptive computing, today at the SC21 supercomputing conference introduced the Alveo U55C data center accelerator card and a new standards-based, API-driven clustering solution for deploying FPGAs at massive scale. The Alveo U55C accelerator brings superior performance-per-watt to high performance computing (HPC) and database workloads and easily scales through the Xilinx HPC clustering solution.

Purpose-built for HPC and big data workloads, the new Alveo U55C card is the company's most powerful Alveo accelerator card ever, offering the highest compute density and HBM capacity in the Alveo accelerator portfolio. Together with the new Xilinx RoCE v2-based clustering solution, a broad spectrum of customers with large-scale compute workloads can now implement powerful FPGA-based HPC clustering using their existing data center infrastructure and network.

While the global electronics supply chain experienced a chip shortage, the corresponding shortage of foundry capacities also led various foundries to raise their quotes, resulting in an over 20% YoY increase in the total annual revenues of the top 10 foundries for both 2020 and 2021, according to TrendForce's latest investigations. The top 10 foundries' annual revenue for 2021 is now expected to surpass US$100 billion. As TSMC leads yet another round of price hikes across the industry, annual foundry revenue for 2022 will likely reach US$117.69 billion, a 13.3% YoY increase.

TrendForce indicates that the combined CAPEX of the top 10 foundries surpassed US$50 billion in 2021, a 43% YoY increase. As new fab constructions and equipment move-ins gradually conclude next year, their combined CAPEX for 2022 is expected to undergo a 15% YoY increase and fall within the US$50-60 billion range. In addition, now that TSMC has officially announced the establishment of a new fab in Japan, total foundry CAPEX will likely increase further next year. TrendForce expects the foundry industry's total 8-inch and 12-inch wafer capacities to increase by 6% YoY and 14% YoY next year, respectively.

Phison Electronics Corp., a global leader in NAND flash controller integrated circuits and storage solutions, today announced its technology development of PCIe Gen 5 customizable SSD solutions for Enterprise and Client SSDs. Phison customers from Hyperscale Cloud Data Centers to PC Gaming demand the fastest performance motherboards and SSD storage devices. Their business models require that they transition to the newest technologies when they first become available, usually well before the rest of the software and hardware ecosystem has been established.

Phison is enabling our valued customers with PCIe Gen 5 SSD platforms that may be customized to perform optimally in their applications. Customers who are early adopters of PCIe Gen 5 SSDs will benefit from superior specifications and first to market leadership revenue. The data rate specification for PCIe Gen 5 at 32 Gb/s is twice the lane speed of PCIe Gen 4 at 16 Gb/s, enabling either double the overall performance, or offering similar performance, but using half as many lanes as PCIe Gen 4.

Tachyum Inc. today announced that it has successfully executed the Linux boot process on the field-programmable gate array (FPGA) prototype of its Prodigy Universal Processor, in 2 months after taking delivery of the IO motherboard from manufacturing. This achievement proves the stability of the Prodigy emulation system and allows the company to move forward with additional testing before advancing to tape out.

Tachyum engineers were able to perform the Linux boot, execute a short user-mode program and shutdown the system on the fully functional FPGA emulation system. Not only does this successful test prove that the basic processor is stable, but interrupts, exceptions, timing, and system-mode transitions are, as well. This is a key milestone, which dramatically reduces risk, as booting and running large and complex pieces of software like Linux reliably on the Tachyum FPGA processor prototype shows that verification and hardware stability are past the most difficult turning point, and it is now obvious that verification and testing should successfully complete in the coming months. Designers are now shifting their attention to debug and verification processes, running hundreds of trillions of test cycles over the next few months, and running large scale user mode applications with compatibility testing to get the processor to production quality.

Lattice Semiconductor, the low power programmable leader, today expanded its growing portfolio of automotive products with the announcement of versions of the Lattice Certus -NX FPGA family optimized for infotainment, advanced driver assistance systems (ADAS), and safety-focused applications. Built on the Lattice Nexus platform, these new Certus-NX devices combine automotive-grade features with best-in-class I/O density, power efficiency, small size, reliability, instant-on performance, and support for fast PCI Express (PCIe) and Gigabit Ethernet interfaces.

"Demand for automotive semiconductors is increasing as the ongoing trends towards automotive system electrification, autonomy, and connectivity have manufacturers looking for ways to deliver the advanced features and user experiences drivers are looking for in their next vehicle," said Jay Aggarwal, Director of Silicon Product Marketing, Lattice Semiconductor. "With class-leading performance and power efficiency, support for popular I/O standards in a small form factor, and high reliability, our Certus-NX general purpose FPGAs make a compelling silicon platform for the next-generation automotive applications car makers are eager to provide to their customers."