According to DigiTimes, several Chinese GPU makers are aiming to build GPUs using 5 or 7 nm nodes this year, something that might be a challenge for them, considering that TSMC's key customers are already said to have pre-paid TSMC to get preferential access to these nodes. The companies in question are Innosilicon, who works with Imagination Technologies IP, Changsha Jingjia Microelectronics and Biren Technology, all of which are largely unknown players in the GPU market space.

Innosilicon's Fantasy One is said to offer performance similar to GeForce RTX 2070, which means it might even be a competitor for Intel's Arc GPUs, assuming the Fantasy One doesn't end up being a pipe dream. Changsha Jingjia Microelectronics is said to have announced it first GPU back in December last year with the JM9 series, which is said to offer around 80 percent of the performance of a GeForce GTX 950, which puts it in the office PC category these days and almost make you wonder why they bothered. Finally Biren Technology announced the BR100 in October last year and it's apparently already manufactured on TSMC's 7 nm node, although no word on performance is available. The bigger question is if any of these products will have any impact in the GPU market, since at best, they might offload some customers in the PRC from buying GPUs from AMD, Intel and Nvidia, until these companies have proven that they can deliver viable drivers alongside their hardware.

In 2016, NVIDIA announced that the company is working on replacing its Fast Logic Controller processor codenamed Falcon with a new GPU System Processor (GSP) solution based on RISC-V Instruction Set Architecture (ISA). This novel RISC-V processor is codenamed NV-RISCV and has been used as GPU's controller core, coordinating everything in the massive pool of GPU cores. Today, NVIDIA has decided to open this NV-RISCV CPU to a broader spectrum of applications starting with 510.39 drivers. According to the NVIDIA documents, this is only available in the select GPUs for now, mainly data-centric Tesla accelerators.

NVIDIA DocumentsSome GPUs include a GPU System Processor (GSP) which can be used to offload GPU initialization and management tasks. This processor is driven by the firmware file /lib/firmware/nvidia/510.39.01/gsp.bin. A few select products currently use GSP by default, and more products will take advantage of GSP in future driver releases.
Offloading tasks which were traditionally performed by the driver on the CPU can improve performance due to lower latency access to GPU hardware internals.

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.

Among the broad range of new game titles getting support, we are in for a surprise. NVIDIA yesterday announced a feature list of its upcoming game-ready GeForce driver scheduled for public release on January 14th. According to the new blog post on NVIDIA's website, the forthcoming game-ready driver release will feature an AI-enhanced version of Dynamic Super Resolution (DSR), available in GeForce drivers for a while. The new AI-powered tech is, what the company calls, Deep Learning Dynamic Super Resolution or DLDSR shortly. It uses neural networks that require fewer input pixels and produces stunning image quality on your monitor.

NVIDIAOur January 14th Game Ready Driver updates the NVIDIA DSR feature with AI. DLDSR (Deep Learning Dynamic Super Resolution) renders a game at higher, more detailed resolution before intelligently shrinking the result back down to the resolution of your monitor. This downsampling method improves image quality by enhancing detail, smoothing edges, and reducing shimmering.

DLDSR improves upon DSR by adding an AI network that requires fewer input pixels, making the image quality of DLDSR 2.25X comparable to that of DSR 4X, but with higher performance. DLDSR works in most games on GeForce RTX GPUs, thanks to their Tensor Cores.

DeepCool, a global brand in designing and manufacturing high-performance computer components for enthusiasts worldwide, announces the CK SERIES Mid-Tower Cases, which consists the CK500, CK500WH, CK560 and CK560WH. Available in black and white, all cases deliver a balance of airflow, silent performance and exceptional cooling for the modern-day builder.

The CK SERIES deliver a no-nonsense approach to a clean, sleek computer chassis design. For Minimalist Builders who appreciate the CK500 and CK500WH minimal solid front panel can be rest assured that airflow performance is not hindered thanks to enlarged ventilation outlets throughout the front, top, and rear panels for additional air movement. For Builders that insist for even more airflow, the CK560 and CK560WH feature a unique cross-hair patterned steel front panel. All cases offer a clean aesthetic and fits a modern day look while being feature-packed for additional hardware expansion and upgrades.

During the CES 2022 keynote, we have witnessed NVIDIA update its GeForce RTX 30 series family with GeForce RTX 3050 and RTX 3090 Ti. However, this is not an end to NVIDIA's updates to the Ampere generation, as we now hear industry sources from Wccftech suggest that we could see a GeForce RTX 3080 GPU with 12 GB of GDDR6X VRAM enabled, launched as a separate product. Compared to the regular RTX 3080 that carries only 10 GB of GDDR6X, the new 12 GB version is supposed to bring a slight bump up to the specification list. The GA102-220 GPU SKU found inside the 12 GB variant will feature 70 SMs with 8960 CUDA, 70 RT cores, and 280 TMUs.

This represents a minor improvement over the regular GA102-200 silicon inside the 8 GB model. However, the significant difference is the memory organization. With the new 12 GB model, we have a 384-bit memory bus allowing GDDR6X modules to achieve a bandwidth of 912 GB/s, all while running at 19 Gbps speeds. The overall TDP will also receive a bump to 350 Watts, compared to 320 Watts of the regular RTX 3080 model. For more information regarding final clock speeds and pricing, we have to wait for the alleged launch date - January 11th.

congatec - a leading vendor of embedded and edge computing technology - introduces the 12th Generation Intel Core mobile and desktop processors (formerly code named Alder Lake) on 10 new COM-HPC and COM Express Computer-on-Modules. Featuring the latest high performance cores from Intel, the new modules in COM-HPC Size A and C as well as COM Express Type 6 form factors offer major performance gains and improvements for the world of embedded and edge computing systems. Most impressive is the fact that engineers can now leverage Intel's innovative performance hybrid architecture. Offering of up to 14 cores/20 threads on BGA and 16 cores/24 threads on desktop variants (LGA mounted), 12th Gen Intel Core processors provide a quantum leap [1] in multitasking and scalability levels. Next-gen IoT and edge applications benefit from up to 6 or 8 (BGA/LGA) optimized Performance-cores (P-cores) plus up to 8 low power Efficient-cores (E-cores) and DDR5 memory support to accelerate multithreaded applications and execute background tasks more efficiently.

Razer, the leading global lifestyle brand for gamers (Hong Kong Stock Code: 1337), is kicking off 2022 with new Razer Blade gaming laptop models including the Razer Blade 14, Razer Blade 15, and Razer Blade 17. The world's fastest laptops for gamers and creators are equipped with the recently announced NVIDIA GeForce RTX 30 Series Laptop GPUs, up to an RTX 3080 Ti, making the new Blades better than ever, now shipping with Windows 11. All new Razer Blade gaming laptops now also include groundbreaking DDR5 memory, providing blistering clock speeds up to 4800 MHz, an increase in frequency by up to 50% compared to the previous generation.

"The Razer Blade series continues to be the best gaming laptop by providing desktop-class performance on-the-go," says Travis Furst, Senior Director of Razer's Systems business unit. "Additionally, we've enabled creators to work anywhere with gorgeous displays, available NVIDIA Studio drivers, and up to 14-Core CPUs. Users will have the ability to choose any model or configuration that best fits their gaming or creating needs, while getting the latest and greatest in graphics, memory and processing technology."

For a significant period, Intel's Next Unit of Computing (NUC) series has featured soldered processors on the PC's motherboard. However, according to the latest leaks from Twitter hardware leaker @9550pro, we have a potential Alder Lake-based NUC featuring desktop processor versions and a dedicated LGA1700 socket. As the leaked image shows, it looks like Intel's NUC 12 Extreme edition will feature an LGA1700 socket that features support for desktop-class of Alder Lake processors. If this leak is correct, we could see a compelling NUC solution filled with Intel-only processors, meaning an Alder Lake CPU and Arc Alchemist discrete graphics card.

There is room for PCIe expansion, which means that theoretically, you could connect any GPU to the mainboard. However, it is natural to assume that Intel could force their own GPU SKUs to launch this mini PC. We have to wait and see what Intel presents at tomorrow's CES 2022 event for more information.

NVIDIA is preparing to launch an ultimate solution for high-end laptops and gamers that could benefit from the high-performance graphics card integration in mobile systems like gaming laptops. Rumored to launch sometime in January, NVIDIA is preparing a GeForce RTX 3080 Ti mobile GPU SKU that supposedly offers the highest performance in the Ampere mobile family. According to sources close to VideoCardz, team green has prepared to announce RTX 3080 Ti mobile design with faster memory and higher total graphics power (TGP). The memory speed will get an upgrade to 16 Gbps, compared to the 14 Gbps speed in RTX 3080 mobile SKU.

Similarly, the total overall TGP will also receive a bump to 175 Watts. This is just a tad higher than the 165 Watt TGP of RTX 3080 mobile. The Ti version will upgrade the CUDA core count and other things like TMUs to undetermined specifications. Currently, it is rumored that the Ti version could carry 7424 CUDA cores, which is an upgrade from 6144 of the regular RTX 3080 version.

In the past few months, we have heard rumors of NVIDIA launching an upgraded version of the GA102 silicon called GeForce RTX 3090 Ti. The upgraded version is supposed to max out the chip and bring additional performance to the table. According to anonymous sources of VideoCardz, MSI, one of NVIDIA's add-in board (AIB) partners, is preparing to update its SUPRIM X lineup of graphics cards with the MSI GeForce RTX 3090 Ti SUPRIM X GPU, scheduled for January 27th launch date. This suggests that the official NDA lifts for these RTX 3090 Ti GPUs on January 27th, meaning that we could see AIBs teasing their models very soon.

As a general reminder, the GeForce RTX 3090 Ti graphics card should use a GA102-350 silicon SKU with 84 SMs, 10752 CUDA cores, 336 TMUs, 24 GB of GDDR6X memory running on a 384-bit bus at 21 Gbps speed with 1008 GB/s bandwidth, and a TBP of a whopping 450 Watts. If these specifications remain valid, the GPU could become the top contender in the market, however, with a massive drawback of pulling nearly half a KiloWatt of power.

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.

Pat Gelsinger is planning a trip to Asia next week, where he'll stop over in Taiwan and Malaysia according to Bloomberg. There he's apparently planning to hold talks that show that manufacturing in Asia is a key part to his efforts of turning Intel's fortunes around. It's said that he'll also be meeting with TSMC.

This will be Gelsinger's first trip to Asia as Intel's CEO, largely due to the pandemic, although outside of meeting with TSMC, his schedule wasn't further mentioned, but it's likely he will be meeting with key partners and suppliers. Intel does some of its chip packaging in Malaysia, on the island of Penang to be more specific, where plants have been temporarily closed due to the pandemic, which in turn has hurt supply for the tech companies located there.

AMD is allegedly preparing to announce the Radeon RX 6000S mobile graphics card based on a refreshed RDNA 2 architecture. The new card will be manufactured on TSMC's N6 process which offers an 18% logic density improvement over the N7 process currently used for RDNA 2 products resulting in increased efficiency or performance. The switch to the IP compatible N6 node should also improve yields and shorten production cycles allowing AMD to remain competitive with new cards from NVIDIA and Intel. We have limited information on this alleged card except that it will likely be announced in early 2022 at CES and that AMD may also release discrete RX 6000S series desktop graphics cards.

The current global pandemic has brought a lot of issues to the gaming community from all around the world. As there were emerging supply chain problems to deliver the latest hardware, especially GPUs, many consumers were left without a choice to obtain their special hardware at a reasonable price or even get a GPU at all. Those problems are soon going to get resolved, at least on NVIDIA's front. According to NVIDIA CFO's Colette Kress speech at the UBS Global TMT conference on Monday, the supply of NVIDIA graphics cards will improve in the second half of 2022.

"The company as a whole will take the appropriate work to continue to procure more supply," said Mrs. Kress. "We've been able to grow quite well during this year, each quarter, sequentially growing. And we do continue to plan to do that for Q4. So we believe we will be in a better situation in terms of supply when we look at the second half of next year." Another interesting tidbit was that the company has entered longer-term agreements with the supply chain, and that "longer-term can be more than a year." That could indicate that years could take before these agreements finalize and we see the results in better supply capacity, so nothing is certain at this point.

Imagination Technologies announces Catapult, a RISC-V CPU product line designed from the ground-up for next-generation heterogeneous compute needs. Based on RISC-V, the open-source CPU architecture, which is transforming processor design, Imagination's Catapult CPUs can be configured for performance, efficiency, or balanced profiles, making them suitable for a wide range of markets.

Leveraging Imagination's 20 years of experience in delivering complex IP solutions, the new CPUs are supported by the rapidly expanding open-standard RISC-V ecosystem, which continues to shake up the embedded CPU industry by offering greater choice. Imagination's entry will enable the rapidly expanding RISC-V ecosystem to add a greater range of product offerings, especially for heterogeneous systems. Now customers have an even wider choice of solutions built on the open RISC-V ISA, avoiding lock-in with proprietary architectures.

According to a new research report from the analyst firm Jon Peddie Research, unit shipments of add-in boards increased in Q3'21 from last year. AMD saw a one-percent increase in market share while Nvidia remained the dominant market share leader with 78.2%. Year over year, total AIB shipments increased by 25.7% this quarter compared to last year at 12.7 million units, and up quarter-to-quarter from 11.47 million units in Q2'21.

Add-in boards (AIBs) use discrete GPUs (dGPU) with dedicated memory. Desktop PCs, workstations, servers, rendering and mining farms, and scientific instruments use AIBs. Consumers and enterprises buy AIBs from resellers or OEMs. They can be part of a new system or installed as an upgrade to an existing system. Systems with AIBs represent the higher end of the graphics industry. Entry-level systems use integrated GPUs (iGPU) in CPUs that share slower system memory.

The Federal Trade Commission today sued to block U.S. chip supplier Nvidia Corp.'s $40 billion acquisition of U.K. chip design provider Arm Ltd. Semiconductor chips power the computers and technologies that are essential to our modern economy and society. The proposed vertical deal would give one of the largest chip companies control over the computing technology and designs that rival firms rely on to develop their own competing chips. The FTC's complaint alleges that the combined firm would have the means and incentive to stifle innovative next-generation technologies, including those used to run datacenters and driver-assistance systems in cars.

"The FTC is suing to block the largest semiconductor chip merger in history to prevent a chip conglomerate from stifling the innovation pipeline for next-generation technologies," said FTC Bureau of Competition Director Holly Vedova. "Tomorrow's technologies depend on preserving today's competitive, cutting-edge chip markets. This proposed deal would distort Arm's incentives in chip markets and allow the combined firm to unfairly undermine Nvidia's rivals. The FTC's lawsuit should send a strong signal that we will act aggressively to protect our critical infrastructure markets from illegal vertical mergers that have far-reaching and damaging effects on future innovations."

The National Renewable Energy Laboratory (NREL) has selected Hewlett Packard Enterprise (HPE) to build its third-generation, high performance computing (HPC) system, called Kestrel. Named for a falcon with keen eyesight and intelligence, Kestrel's moniker is apropos for its mission—to rapidly advance the U.S. Department of Energy's (DOE's) energy research and development (R&D) efforts to deliver transformative energy solutions to the entire United States.

Installation of the new system will begin in the fall of 2022 in NREL's Energy Systems Integration Facility (ESIF) data center. Kestrel will complement the laboratory's current supercomputer, Eagle, during the transition. When completed—in early 2023—Kestrel will accelerate energy efficiency and renewable energy research at a pace and scale more than five times greater than Eagle, with approximately 44 petaflops of computing power.

Prominent chip designers like AMD and NVIDIA could bless consumers with a broader offering of their new products as soon as CES 2022 arrives. AMD should present its rumored Rembrandt-H lineup of processors based on the enhanced Zen 3 core, sometimes referred to as Zen 3+. According to the latest report coming from MyLaptopsGuide, Bluetooth SIG has some data entry about ASUS'es upcoming ROG Zephyrus Duo GX650 laptop that integrates AMD Rembrandt-H processors and NVIDIA GeForce RTX 30-series graphics. As the website claims, the heart of this laptop will be AMD Ryzen 9 6900HX processor built on TSMC's 6 nm manufacturing process. We don't know much about this model, but we expect it to refine the previous Ryzen 9 5900HX.

We again see the rumored NVIDIA GeForce RTX 3080 Ti graphics card for mobile, powering the graphics side of things. This model is supposedly based on GA103S GPU SKU, which is likely tailor-made for laptops in mind and exclusive to them. ASUS has also paired 16 GB of DDR5-4800 RAM with an AMD Ryzen processor, suggesting that Rembrandt-H has a new memory controller in place. This laptop model also has a 16-inch 300 Hz Full HD screen with anti-glare; however, the amount of information ended there. We have to wait for CES 2022 launch to find out more.

Sapphire, along with various other AIB partners from AMD, has been making graphics cards exclusively for cryptocurrency mining. With the arrival of AMD's RDNA2 generation, this has continued as well. However, the company has been doing it more quietly to avoid backslash from its customers already furious about the poor availability of graphics cards in general. Fortunately, El Chapuzas Informatico managed to get ahold of two datasheets from Sapphire that highlight features and use cases of its GPRO X080 and GPRO X060 mining graphics cards, primarily targeting Ethereum coin mining.

According to the source, the company has readied two models based on RDNA2 chipsets. That is GPRO X080 SKU based on Navi 22 with 2304 Streaming Processors, running at 2132 MHz frequency. Paired with Navi 22 GPU, 10 GB of GDDR6 memory runs at 16 Gbps speed on a 160-bit bus. This model has no display outputs, and the only connector is a PCIe 4.0 x16 slot that connects the GPU to the motherboard. Running at the default 165 Watt TGP, the card produces a 38.0 MH/s hash rate, while the optimized form of 41.6 MH/s reduces TGP to just 93 Watts.

NVIDIA's Crypto Mining (CMP) series of graphics cards are made to work only for one purpose: mining cryptocurrency coins. Hence, their functionality is somewhat limited, and they can not be used for gaming as regular GPUs can. Today, Linus Tech Tips got ahold of NVIDIA's CMP 170HX mining card, which is not listed on the company website. According to the source, the card runs on NVIDIA's GA100-105F GPU, a version based on the regular GA100 SXM design used in data-center applications. Unlike its bigger brother, the GA100-105F SKU is a cut-down design with 4480 CUDA cores and 8 GB of HBM2E memory. The complete design has 6912 cores and 40/80 GB HBM2E memory configurations.

As far as the reason for choosing 8 GB HBM2E memory goes, we know that the Ethereum DAG file is under 5 GB, so the 8 GB memory buffer is sufficient for mining any coin out there. It is powered by an 8-pin CPU power connector and draws about 250 Watts of power. It can be adjusted to 200 Watts while retaining the 165 MH/s hash rate for Ethereum. This reference design is manufactured by NVIDIA and has no active cooling, as it is meant to be cooled in high-density server racks. Only a colossal heatsink is attached, meaning that the cooling needs to come from a third party. As far as pricing is concerned, Linus managed to get this card for $5000, making it a costly mining option.More images follow...

Jon Peddie Research reports the growth of the global PC-based Graphics Processor Units (GPU) market reached 101 million units in Q3'21 and PC CPUs shipments increased by 9% year over year. Overall, GPUs will have a compound annual growth rate of -1.1% during 2020-2025 and reach an installed base of 3,249 million units at the end of the forecast period. Over the next five years, the penetration of discrete GPUs (dGPU) in the PC will grow to reach a level of 31%.

AMD's overall market share percentage from last quarter increased 1.4%, Intel's market share decreased by -6.2%, and Nvidia's market share increased 4.86%, as indicated in the following chart.

The somewhat surprise announcement of the Innosilicon Fenghua No.1 server graphics card took many by surprise, but it seems like much of the tech media, us included, weren't paying attention, as there were hints about this card over a year ago. It came from no-one other than Imagination Technologies CMO, David Harold, in an official blog post that was posted on the 13th of October 2020.

The blog post was titled "Back in the high-performance game" and in it David Harold was reminiscing about his close to 20 years at Imigationation Technologies and how the company had started out in the 3D accelerator business with the Kyro "GPU". He goes on to mention last year's IMG A-Series GPU and then moves on to the new IMG-B Series and mentions how it's the 11th generation of the PowerVR architecture and how it has 70 percent higher compute density compared to existing desktop GPUs. He also mentions that Imagination Technologies has five customers working on products for the desktop, performance laptop and "cloud spaces" based on the PowerVR architecture and then goes on to mention Innosilicon by name and pointing out that they have just launched an IMG-B Series BXT multi-core GPU in an add-in card form-factor.

The 58th annual edition of the TOP500 saw little change in the Top10. The Microsoft Azure system called Voyager-EUS2 was the only machine to shake up the top spots, claiming No. 10. Based on an AMD EPYC processor with 48 cores and 2.45GHz working together with an NVIDIA A100 GPU and 80 GB of memory, Voyager-EUS2 also utilizes a Mellanox HDR Infiniband for data transfer.

While there were no other changes to the positions of the systems in the Top10, Perlmutter at NERSC improved its performance to 70.9 Pflop/s. Housed at the Lawrence Berkeley National Laboratory, Perlmutter's increased performance couldn't move it from its previously held No. 5 spot.