When NVIDIA announced the appearance of the GeForce RTX 3080 Ti mobile graphics card, we were left with a desire to see just what the GA103 silicon powering the GPU looks like. And thanks to the Chinese YouTuber Geekerwan, we have the first pictures of the GPU. Pictured below is GA103S/GA103M SKU with GN20-E8-A1 labeling. It features 58 SMs that make up for 7424 CUDA cores in total. The number of Tensor cores for this SKU is set to 232, while there are 58 RT cores. NVIDIA has decided to pair this GPU with a 256-bit memory bus and 16 GB GDDR6 memory.

As it turns out, the full GA103 silicon has a total of 7680 CUDA cores and a 320-bit memory bus, so this mobile version is a slightly cut-down variant. It sits perfectly between GA104 and GA102 SKUs, providing a significant improvement to the core count of GA104 silicon. Power consumption of the GA103 SKU for GeForce RTX 3080 Ti mobile is set to a variable 80-150 Watt range, which can be adjusted according to the system's cooling capacity. An interesting thing to point out is a die size of 496 mm², which is a quarter more significant compared to GA104, for a quarter higher number of CUDA cores.

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.

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.

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.

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...

Xiaomi today took another bold step in the exploration of future technology with its new bio-inspired quadruped robot - CyberDog. The launch of CyberDog is the culmination of Xiaomi's engineering prowess, condensed into an open source robot companion that developers can build upon.

CyberDog is Xiaomi's first foray into quadruped robotics for the open source community and developers worldwide. Robotics enthusiasts interested in CyberDog can compete or co-create with other like-minded Xiaomi Fans, together propelling the development and potential of quadruped robots.

NVIDIA's upcoming "Ada Lovelace" architecture, both for compute and graphics, is reportedly being designed for the 5 nanometer silicon fabrication node by TSMC. This marks NVIDIA's return to the Taiwanese foundry after its brief excursion to Samsung, with the 8 nm "Ampere" graphics architecture. "Ampere" compute dies continue to be built on TSMC 7 nm nodes. NVIDIA is looking to double the compute performance on its next-generation GPUs, with throughput approaching 70 TFLOP/s, from a numeric near-doubling in CUDA cores, generation-over-generation. These will also be run at clock speeds above 2 GHz. One can expect "Ada Lovelace" only by 2022, as TSMC N5 matures.

When NVIDIA's Ampere GPUs first stormed onto the scene, the GeForce RTX 3090 created an entirely new category of performance for the highest-resolution, highest-refresh-rate graphics and most demanding GPU compute tasks on the market. Now, the GeForce RTX 3080 Ti brings much of the power of that revolutionary graphics card to a wider audience. The RTX 3080 Ti's massive complement of CUDA, RT, and Tensor cores teams up with 12 GB of GDDR6X memory to create a potent package that's tailored for gamers first. And in the hotly contested midrange of the market, the RTX 3070 Ti brings more CUDA, RT, and Tensor cores to bear for mainstream systems.

ASUS has taken advantage of these new, more powerful GPUs to create custom designs that serve up high clock speeds, low temperatures, and whisper-quiet noise levels. The ROG Strix LC GeForce RTX 3080 Ti is our first Ampere card to use a hybrid liquid-cooled design for incredible performance potential, while ROG Strix and TUF Gaming versions of both the RTX 3080 Ti and RTX 3070 Ti deliver distinctly different takes on air cooling.

ZOTAC Technology Limited, a global manufacturer of innovation, unveils two mighty additions to the ZOTAC GAMING GeForce RTX 30 Series GPU line-up-the GeForce RTX 3080 Ti and 3070 Ti Series. The all-new series are based on thea dvanced NVIDIA Ampere architecture with enhanced CUDA cores, Tensor cores, fast memory, and wide memory bandwidth that bring powerful gaming performance.

The RTX 3080 Ti Series feature the AMP Extreme Holo, AMP Holo, Trinity OC and Trinity models whereas the RTX 3070 Ti Series feature the AMP Extreme Holo, AMP Holo and Trinity. Powered by the NVIDIA Ampere architecture, the GeForce RTX 3080 Ti delivers an incredible leap in performance and fidelity with acclaimed features such as raytracing, NVIDIA DLSS performance-boosting AI, NVIDIA Reflex latency-reduction, NVIDIA Broadcast streaming features and additional memory that allows it to speed through the most popular creator applications as well.

The launch of NVIDIA's upcoming GeForce RTX 3080 Ti graphics card is upon us. The number of rumors circulating the web is getting greater and we have just received die pictures of the GA102 silicon and the specification of the specific SKU. Sources over at VideoCardz have provided the website with the first die picture of GA102-225 silicon, which powers the NVIDIA GeForce RTX 3080 Ti graphics card. Pictured below, it doesn't appear much different compared to the GA102-300 SKU found inside the RTX 3090 card, with the only obvious differentiator being the SKU ID. However, the difference only appears under the hood, with the GA102-225 SKU having 10240 CUDA cores instead of 10752 CUDA cores found inside GA102-300 of RTX 3090.

Paired with 12 GB of GDDR6X memory on a 384-bit bus, the memory will have run around 19 Gbps speeds. That will result in a bandwidth of 912 GB/s. If you are wondering about the performance of the card, it should remain within a few percent of its bigger brother RTX 3090. We have the first leak showing Ethereum mining performance and the GA102-225 silicon achieved a mining hash rate of 118.9 Mh/s with some tuning. The memory was overclocked to 21.5 Gbps, while the GPU TDP was limited to 278 Watts. The leak shows that the card has managed to achieve a 1365 MHz base and 1665 MHz boost frequency. While we don't have the exact launch date, the supposed MSRP will be anywhere from $999 to $1099, assuming you can get it at all at any price.

NVIDIA today announced a range of eight new NVIDIA Ampere architecture GPUs for next-generation laptops, desktops and servers that make it possible for professionals to work from wherever they choose, without sacrificing quality or time. For desktops, the new NVIDIA RTX A5000 and NVIDIA RTX A4000 GPUs feature new RT Cores, Tensor Cores and CUDA cores to speed AI, graphics and real-time rendering up to 2x faster than previous generations. For professionals on the go needing thin and light devices, the new NVIDIA RTX A2000, NVIDIA RTX A3000, RTX A4000 and RTX A5000 laptop GPUs deliver accelerated performance without compromising mobility.

For the data center, there are the new NVIDIA A10 GPU and A16 GPU. The A10 provides up to 2.5x the virtual workstation performance of the previous generation for designers and engineers, while the A16 GPU provides up to 2x user density with lower total cost of ownership and an enhanced virtual desktop infrastructure experience over the previous generation.

NVIDIA today announced its first data center CPU, an Arm-based processor that will deliver 10x the performance of today's fastest servers on the most complex AI and high performance computing workloads.

The result of more than 10,000 engineering years of work, the NVIDIA Grace CPU is designed to address the computing requirements for the world's most advanced applications—including natural language processing, recommender systems and AI supercomputing—that analyze enormous datasets requiring both ultra-fast compute performance and massive memory. It combines energy-efficient Arm CPU cores with an innovative low-power memory subsystem to deliver high performance with great efficiency.

NVIDIA should probably start thinking about removing the RTX moniker from its RTX Voice suite, the (supposedly) AI-based audio noise-cancellation software the company launched about this time last year. At the time, NVIDIA announced it as an exclusive feature for their RTX GPUs, due to their AI-processing capabilities - and that led everyone to think RTX Voice employed the in-chip Tensor cores for leveraged AI operation. However, soon enough, mods started to appear that allowed GTX graphics cards - going back at least as much as the "hot-oven Fermi" in unofficial support - and that pointed towards a CUDA-based processing solution.

It appears that NVIDIA has now decided to officially extend support for the RTX Voice software to other, non-RTX graphics cards from the latest RTX 30-cards down to their 600-series (essentially any card supported under Nvidia's 410.18 driver or newer). So if you were hoping to leverage the software and wanted to do it officially, in a pre-RTX 20-series graphics card, with no patches - now you can. You can check out our RTX Voice review, where our very own Inle declared it to be "like magic".

Editor's note: This is not a part of April Fools.

NVIDIA has separated professional users and regular gamers with the company's graphics card offering. There is a GeForce lineup of GPUs, which represents a gaming-oriented version and its main task is to simply play games, display graphics, and run some basic CUDA accelerated software. However, what would happen if you were to start experimenting with your GPU? For example, if you are running Linux, and you want to spin a virtual machine with Windows on it for gaming, you could just use your integrated GPU as the GeForce card doesn't allow for virtual GPU passthrough. For these purposes, NVIDIA has its professional graphics card lineup like Quadro and Tesla.

However, this specific feature is about to arrive in even the GeForce lineup offerings. NVIDIA has announced that the company is finally bringing the basic virtual machine passthrough functions to the gaming GPUs. While the feature is representing a step in the right direction, it is still limited. For example, the GeForce GPU passthrough supports only one virtual machine and SR-IOV feature is still not supported on GeForce. "If you want to enable multiple virtual machines to have direct access to a single GPU or want the GPU to be able to assign virtual functions to multiple virtual machines, you will need to use NVIDIA Tesla, Quadro, or RTX enterprise GPUs.", says the NVIDIA FAQ. GeForce virtualization, which is now still in beta, is supported on R465 or higher drivers.The full content from NVIDIA's website is written below.

NVIDIA today announced NVIDIA AI Enterprise, a comprehensive software suite of enterprise-grade AI tools and frameworks optimized, certified and supported by NVIDIA, exclusively with VMware vSphere 7 Update 2, separately announced today.

Through a first-of-its-kind industry collaboration to develop an AI-Ready Enterprise platform, NVIDIA teamed with VMware to virtualize AI workloads on VMware vSphere with NVIDIA AI Enterprise. The offering gives enterprises the software required to develop a broad range of AI solutions, such as advanced diagnostics in healthcare, smart factories for manufacturing, and fraud detection in financial services.

According to kopite7kimi, a famous leaker of information about NVIDIA graphics cards, we have some pieces of data about NVIDIA's plans to bring back its SUPER series of graphics cards. The SUPER graphics cards have first appeared in the GeForce RTX 2000 series "Turing" GPUs with GeForce RTX 2080 SUPER and RTX 2070 SUPER designs, after which RTX 2060 followed. Thanks to the source, we have information that NVIDIA plans to give its newest "Ampere" 3000 series of GeForce RTX GPUs a SUPER overhaul. Specifically, the company allegedly plans to introduce GeForce RTX 3070 SUPER and RTX 3080 SUPER SKUs to its offerings.

While there is no concrete information about the possible specifications of these cards, we can speculate that just like the previous SUPER upgrade, new cards would receive an upgrade in CUDA core count, and possibly a memory improvement. The last time a SUPER upgrade happened, NVIDIA just added more cores to the GPU and overclocked the GDDR6 memory and thus increased the memory bandwidth. We have to wait and see how the company plans to position these alleged cards and if we get them at all, so take this information with a grain of salt.This is only a mock-up image and is not representing a real product.

In the past, we heard rumors about NVIDIA's upcoming GeForce RTX 3080 Ti graphics card. Being scheduled for January release, we were just a few weeks away from it. The new graphics card is designed to fill the gap between the RTX 3080 and higher-end RTX 3090, by offering the same GA102 die with the only difference being that the 3080 Ti is GA102-250 instead of GA102-300 die found RTX 3090. It allegedly has the same CUDA core count of 10496 cores, same 82 RT cores, 328 Tensor Cores, 328 Texture Units, and 112 ROPs. However, the RTX 3080 Ti is supposed to bring the GDDR6X memory capacity down to 20 GBs, instead of the 24 GB found on RTX 3090.

However, all of that is going to wait a little bit longer. Thanks to the information obtained by Igor Wallosek from Igor's Lab, we have data that NVIDIA's upcoming high-end GeForce RTX 3080 Ti graphics card is going to be postponed to February for release. Previous rumors suggested that we are going to get the card in January with the price tag of $999. That, however, has changed and NVIDIA allegedly postponed the launch to February. It is not yet clear what the cause behind it is, however, we speculate that the company can not meet the high demand that the new wave of GPUs is producing.

According to the unknown manufacturer (AIB) based in Taiwan, NVIDIA is preparing to launch the new GeForce RTX 3000 series "Ampere" graphics card. As reported by the HKEPC website, the Santa Clara-based company is preparing to fill the gap between its top-end GeForce RTX 3090 and a bit slower RTX 3080 graphics card. The new product will be called GeForce RTX 3080 Ti. If you are wondering what the specification of the new graphics card will look like, you are in luck because the source has a few pieces of information. The new product will be based on GA102-250-KD-A1 GPU core, with a PG133-SKU15 PCB design scheme. The GPU will contain the same 10496 CUDA core configuration as the RTX 3090.

The only difference to the RTX 3090 will be a reduced GDDR6X amount of 20 GB. Along with the 20 GB of GDDR6X memory, the RTX 3080 Ti graphics cards will feature a 320-bit bus. The TGP of the card is limited to 320 Watts. The sources are reporting that the card will be launched sometime in January of 2021, and it will come at $999. This puts the price category of the RTX 3080 Ti in the same range as AMD's recently launched Radeon RX 6900 XT graphics card, so it will be interesting to see how these two products are competing.

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.

NVIDIA today unveiled its RTX A6000 professional graphics card, the first professional visualization-segment product based on its "Ampere" graphics architecture. With this, the company appears to be deviating from the Quadro brand for the graphics card, while several software-side features retain the brand. The card is based on the same 8 nm "GA102" silicon as the GeForce RTX 3080, but configured differently. For starters, it gets a mammoth 48 GB of GDDR6 memory across the chip's 384-bit wide memory interface, along with ECC support.

The company did not reveal the GPU's CUDA core count, but mentioned that the card's typical board power is 300 W. The card also gets NVLink support, letting you pair up to two A6000 cards for explicit multi-GPU. It also supports GPU virtualization, including NVIDIA GRID, NVIDIA Quadro Virtual Data Center Workstation, and NVIDIA Virtual Compute Server. The card features a conventional lateral blower-type cooling solution, and its most fascinating aspect is its power input configuration, with just the one 8-pin EPS power input. We will update this story with more information as it trickles out.Update 13:37 UTC: The company also unveiled the A40, a headless professional-visualization graphics card dedicated for virtual-GPU/cloud-GPU applications (deployments at scale in data-centers). The card has similar specs to the RTX A6000.

Update 13:42 UTC: NVIDIA website says that both the A40 and RTX A6000 a 4+4 pin EPS connector (and not 8-pin PCIe) for power input. An 8-pin EPS connector is capable of delivering up to 336 W (4x 7 A @ 12 V).

GPU Folders make up a huge fraction of the number-crunching power of Folding@home, enabling us to help projects like the COVID Moonshot open science drug discovery project evaluate thousands of molecules per week in their quest to produce a new low-cost patent-free therapy for COVID-19. The COVID Moonshot (@covid_moonshot) is using the number-crunching power of Folding@home to evaluate thousands of molecules per week, synthesizing hundreds of these molecules in their quest to develop a patent-free drug for COVID-19 that could be taken as a simple 2x/day pill.

As of today, your folding GPUs just got a big powerup! Thanks to NVIDIA engineers, our Folding@home GPU cores—based on the open source OpenMM toolkit—are now CUDA-enabled, allowing you to run GPU projects significantly faster. Typical GPUs will see 15-30% speedups on most Folding@home projects, drastically increasing both science throughput and points per day (PPD) these GPUs will generate.Editor's Note:TechPowerUp features a strong community surrounding the Folding @ Home project. Remember to fold aggregated to the TPU team, if you so wish: we're currently 44# in the world, but have plans for complete world domination. You just have to input 50711 as your team ID. This is a way to donate efforts to cure various diseases affecting humanity that's at the reach of a few computer clicks - and the associated power cost with these computations.

NVIDIA at its GeForce "Ampere" launch event announced the RTX IO technology. Storage is the weakest link in a modern computer, from a performance standpoint, and SSDs have had a transformational impact. With modern SSDs leveraging PCIe, consumer storage speeds are now bound to grow with each new PCIe generation doubling per-lane IO bandwidth. PCI-Express Gen 4 enables 64 Gbps bandwidth per direction on M.2 NVMe SSDs, AMD has already implemented it across its Ryzen desktop platform, Intel has it on its latest mobile platforms, and is expected to bring it to its desktop platform with "Rocket Lake." While more storage bandwidth is always welcome, the storage processing stack (the task of processing ones and zeroes to the physical layer), is still handled by the CPU. With rise in storage bandwidth, the IO load on the CPU rises proportionally, to a point where it can begin to impact performance. Microsoft sought to address this emerging challenge with the DirectStorage API, but NVIDIA wants to build on this.

According to tests by NVIDIA, reading uncompressed data from an SSD at 7 GB/s (typical max sequential read speeds of client-segment PCIe Gen 4 M.2 NVMe SSDs), requires the full utilization of two CPU cores. The OS typically spreads this workload across all available CPU cores/threads on a modern multi-core CPU. Things change dramatically when compressed data (such as game resources) are being read, in a gaming scenario, with a high number of IO requests. Modern AAA games have hundreds of thousands of individual resources crammed into compressed resource-pack files.

Just ahead of the September launch, specifications of NVIDIA's upcoming RTX Ampere lineup have been leaked by industry sources over at VideoCardz. According to the website, three alleged GeForce SKUs are being launched in September - RTX 3090, RTX 3080, and RTX 3070. The new lineup features major improvements: 2nd generation ray-tracing cores and 3rd generation tensor cores made for AI and ML. When it comes to connectivity and I/O, the new cards use the PCIe 4.0 interface and have support for the latest display outputs like HDMI 2.1 and DisplayPort 1.4a.

The GeForce RTX 3090 comes with 24 GB of GDDR6X memory running on a 384-bit bus at 19.5 Gbps. This gives a memory bandwidth capacity of 936 GB/s. The card features the GA102-300 GPU with 5,248 CUDA cores running at 1695 MHz, and is rated for 350 W TGP (board power). While the Founders Edition cards will use NVIDIA's new 12-pin power connector, non-Founders Edition cards, from board partners like ASUS, MSI and Gigabyte, will be powered by two 8-pin connectors. Next up is specs for the GeForce RTX 3080, a GA102-200 based card that has 4,352 CUDA cores running at 1710 MHz, paired with 10 GB of GDDR6X memory running at 19 Gbps. The memory is connected with a 320-bit bus that achieves 760 GB/s bandwidth. The board is rated at 320 W and the card is designed to be powered by dual 8-pin connectors. And finally, there is the GeForce RTX 3070, which is built around the GA104-300 GPU with a yet unknown number of CUDA cores. We only know that it has the older non-X GDDR6 memory that runs at 16 Gbps speed on a 256-bit bus. The GPUs are supposedly manufactured on TSMC's 7 nm process, possibly the EUV variant.

NVIDIA today announced that it will be hosting another GTC keynote for the coming month of October. To be held between October 5th and October 9th, the now announced keynote will bring updates to NVIDIA's products and technologies, as well as provide an opportunity for numerous computer science companies and individuals to take center stage on discussing new and upcoming technologies. More than 500 sessions will form the backbone of GTC, with seven separate programming streams running across North America, Europe, Israel, India, Taiwan, Japan and Korea - each with access to live demos, specialized content, local startups and sponsors.

This GTC keynote follows the May 2020 keynote where the world was presented to NVIDIA's Ampere-based GA100 accelerator. A gaming and consumer-oriented event is also taking place on September 1st, with expectations being set high for NVIDIA's next-generation of consumer graphics products. Although if recent rumors of a $2,000 RTX 3090 graphics card are anything to go by, not only expectations will be soaring by then.