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Nvidia's Shield Tablet returns with lower $199 price tag
Nvidia's Shield Tablet returns with lower $199 price tag
Nvidia has slashed the price on its powerful gaming-centric 8-inch Android tablet, down to $199 and £149 in the UK, which converts to around AU$320. That's down from $299 (£240 in the UK), which leaves you a bit of extra cash to spend on apps or a controller.
A quick refresher: The Nvidia Shield Tablet arrived last August, and it didn't fail to impress. Nvidia crammed its powerful Tegra K1 processor into an 8-inch shell, with a 1,920x1,200-pixel resolution display. Games optimized for the K1 -- such as Half-Life 2 and Portal -- look stunning, but they're few and far between and you'll really want to pick up a Shield controller for the best experience.
The Shield controller is sold separately.
Sarah Tew/CNET
But if you've got a gaming PC equipped with an Nvidia GPU, you can stream games from your PC to the tablet. When connected to a TV, the tablet will play games at up to 1080p, and stream 4K content from online services such as Netflix and YouTube. The tablet also supports Nvidia's GeForce Now videogame streaming service.
The Shield Tablet ships with 16GB of storage, but it can support up to 128GB microSD cards. Couple that with a gaming controller, and you've potentially got a rather inexpensive gaming platform on your hands. If your interest is piqued, you can pick one up from stores like Amazon or Best Buy, or directly from Nvidia.
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Nvidia Says US Order Restricts Sale of AI Chips to China
Nvidia Says US Order Restricts Sale of AI Chips to China
Nvidia has been ordered by the US government to restrict sales of two AI acceleration chips to China, disrupting a business the chip designer expects to generate about $400 million in sales this quarter, the company said in a regulatory filing Wednesday.
The order, in the form of new licensing requirements and effective immediately, affects the company's A100 and forthcoming H100 processors, which let AI developers speed up their research and build more-advanced AI models. The order could also interfere with the company's ability to complete development of the H100 "Hopper" processor in a timely manner, Nvidia said in a filing with the US Securities and Exchange Commission.
The US government said the new licensing requirement will "address the risk that the covered products may be used in, or diverted to, a 'military end use' or 'military end user' in China and Russia," Nvidia said in its filing, adding that it doesn't sell products to customers in Russia.
The order comes amid escalating tensions between the US and China, which claims neighboring Taiwan as its own. China recently concluded a series of war games that included launching ballistic missiles into the waters surrounding Taiwan.
The H100, expected to launch this year, is intended to better help researchers tackle complex challenges like understanding human language and piloting self-driving cars. Nvidia estimates the H100 is six times faster overall than the A100 predecessor the company launched two years ago.
The company said it had expected approximately $400 million in sales to China during the third quarter but indicated that figure may be impacted by customers being unwilling to purchase alternative products. Nvidia's stock was down nearly 6% in after-hours trading.
Nvidia's Grace AI chip leaves Intel processors behind
Nvidia's Grace AI chip leaves Intel processors behind
Nvidia has a new chip in the works for boosting artificial intelligence and other high-performance computing work: Grace, a design slated to arrive in mammoth supercomputers in 2023. Instead of accelerating conventional Intel-powered servers, though, the design includes its own built-in Arm processors.
Nvidia's current brainiest chip, the A100, is typically yoked to Intel Xeon processors. Nvidia chips do the grunt work, but Intel chips oversee it. With Grace, named after pioneering programmer Grace Hopper, the company opted to embed several Arm Neoverse processor cores within the chip to speed up processing, said Paresh Kharya, an Nvidia senior director. The chip news arrived at Nvidia's GTC 2021 conference this week.
The new chip should let AI customers run computing tasks that are vastly more complex than is possible with today's chip designs, a step toward the general artificial intelligence that is the holy grail of today's machine learning research, said Cambrian AI Researach analyst Karl Freund in a blog post.
The design illustrates Nvidia's dramatic ascent -- and Intel's struggles. Even decades of dominance in technology don't guarantee success when the rules of computing are constantly being rewritten. Your laptop likely comes with an Intel chip, but an Nvidia chip was more likely responsible for important AI work like filtering spam, improving image quality or recognizing your voice when you call your bank.
Not so many years ago, Nvidia was just a component supplier, a designer of graphics chips called GPUs to boost PC performance. Intel's family of processors, or perhaps compatible rival AMD chips, shouldered most of the computing work. Intel, though, has struggled in recent years to keep pace with chip miniaturization and to capitalize on the exploding use of AI.
The result: Nvidia's market capitalization vaulted over Intel's, reaching $357 billion compared with Intel's $278 billion. Much of the growth has been propelled by the fact that GPUs also turned out to be pretty good at AI work, specifically the computationally intense training process that builds the models that later run in data centers, PCs and phones.
Also in the ascendant is Arm, which licenses the chip designs and technology that power every smartphone, new M1-based Apple Macs and the world's fastest supercomputer. Nvidia is seeking to acquire Arm for $40 billion, a move some rivals like Qualcomm object to. Grace's integrated Arm chips let Nvidia read data from memory many times faster than with current designs, the company said.
Nvidia's Selene machine, currently the world's fifth-fastest supercomputer, pairs A100 chips with AMD Epyc CPUs. A 2023 Grace-based machine called Alps at Switzerland's National Supercomputing Center should be seven times faster, Kharya said. The Los Alamos National Laboratory in the US also will buy a Grace-powered supercomputer.
Under new Chief Executive Pat Gelsinger, Intel is working to reclaim its manufacturing lead, planning to tap into others' manufacturing abilities while it works on miniaturizing its circuitry inscribing technology.
Intel is building AI abilities into its main processors while working on dedicated hardware, too. It folded its Nervana chips operation, but its Habana AI acceleration processors are still under active development.
One hot area for AI chips is autonomous vehicles, whose self-driving algorithms rely on processing in camera imagery and other sensor data. It's a core focus for Nvidia AI chip work, for example with its Orin chip scheduled to debut in 2022 vehicles.
Nvidia CEO Jensen Huang announced new processors for AI, graphics and supercomputing at the company's GTC event.
Screenshot by Stephen Shankland/CNET
At GTC, Nvidia announced a new chip called Atlan with quadruple the performance. It should arrive in 2025 vehicles, said Danny Shapiro, Nvidia's senior director of automotive work. Like Orin and Grace, Atlan relies on Arm cores, too.
Nvidia also announced a grander autonomous vehicle technology package called Hyperion 8. It combines two Orin processors with a host of sensors: eight exterior cameras, four exterior wider-angle fisheye cameras, three interior cameras, nine radar scanners and one lidar 3D scanner. The technology should arrive later in 2021.
Nvidia extended a partnership with Volvo, the companies said. Volvo plans to use Orin chips in its next-generation vehicles.
Intel has its own autonomous vehicle division, Mobileye. Tesla develops its own AI chips for its cars.
Nvidia to buy SoftBank's Arm chip division for $40 billion
Nvidia to buy SoftBank's Arm chip division for $40 billion
Nvidia has acquired SoftBank's Arm chip division for $40 billion in cash and stock in the chip industry's largest deal ever. As part of the deal, made this Sunday, SoftBank will take an ownership stake in Nvidia that's expected to be less than 10%, the companies said in a joint statement.
Bloomberg reported last week that Nvidia and SoftBank were in advanced talks, with Nvidia the lone potential buyer. That followed an earlier report by The Wall Street Journal that SoftBank was considering a sale of Arm. The Journal also reported Saturday's news of an imminent Nvidia-SoftBank agreement.
Arm isn't as well-known as mega chip companies such as Qualcomm and Intel, but its work lies behind the processors inside many of the world's mobile phones.
Arm licenses designs to companies like Qualcomm but also licenses its chip instruction set -- the collection of commands software can use to control it -- to companies like Apple that design their own. Arm's designs are also used as the basis for chips made by Samsung and Nvidia.
In June, Apple said it would overhaul its Mac computers with its own Arm chips, which are similar to the ones it designs for iPhones and iPads, moving away from the Intel processors it has used for the past 14 years. Arm licenses its chip instruction set -- the collection of commands software can use to control a chip -- to companies like Apple that design their own processors.
SoftBank purchased the UK-based Arm in 2016 for $32 billion with the intent of bolstering its internet of things division. Nvidia said it expects the tie-up to boost its artificial intelligence ambitions.
"AI is the most powerful technology force of our time and has launched a new wave of computing," Nvidia founder and CEO Jensen Huang said in a statement. "In the years ahead, trillions of computers running AI will create a new internet-of-things that is thousands of times larger than today's internet-of-people."
The companies said they expect the deal to close in 18 months, noting that it will require approval of the US, UK, EU and China.
Apple's M1 Pro and M1 Max chips mean new trouble for Intel
Apple's M1 Pro and M1 Max chips mean new trouble for Intel
A year ago, Apple announced it was taking on Intel's most efficient chips by introducing lightweight MacBook laptops powered by the M1, a homegrown processor. On Monday, the consumer electronics giant expanded its challenge, launching MacBook Pro laptops built around the new M1 Pro and M1 Max that take on Intel's beefier chips.
The new MacBook Pros bode well for Apple's attempt to take firmer control over its products. And they're bad news for Intel, whose chips Apple is ejecting from its Macs after a 15-year partnership. It's a loss of revenue, prestige and orders to keep its factories running at full capacity.
"Intel has completely lost the Mac and is unlikely to regain it any time soon," New Street Research analyst Pierre Ferragu said in a research note Tuesday.
Intel didn't lose this big customer overnight. The company that was once synonymous with consumer computers -- remember Intel Inside? -- fell on hard times because of difficulties upgrading its manufacturing. New CEO Pat Gelsinger has started an Intel recovery plan, including an effort to revitalize manufacturing progress. But turning around a behemoth requires patience.
Meet the Mac's new chips
Intel's troubles encouraged Apple to develop its own chip expertise and technology for computers. (It already designed its own A-series chips for the iPhone and iPad, and indeed the M-series chips capitalize on that investment.) The company's M1 processors, which came in last year's MacBook Air and low-end 13-inch MacBook Pro, were evidence it wanted to take control of its own future.
The M1 Pro and M1 Max demonstrate the company's increasing power as a chip designer. Both are designed for more capable models, the 14-inch and 16-inch Pros, geared for video editors, programmers and others with intense computing needs. The heft of the chips -- each of which sports eight performance and two efficiency cores, compared with the M1's four-by-four design -- is intended to sustain heavy work. They also come with much more powerful graphics processing power and memory, up to 16GB for the M1 Pro and 64GB for the M1 Max.
Miniaturization is what lets chip manufacturers economically squeeze in more transistors, a chip's electronic circuitry elements. The new M1 models are doozies of miniaturization, with 34 billion transistors in the M1 Pro and 57 billion in the M1 Max. That's how it could add special chip modules for graphics, video, AI, communications and security into its high-end MacBook Pros.
Intel's troubles
Intel, which for decades has led the world in chip technology, suffered for the last half decade as an upgrade to its manufacturing technology dragged on longer than the usual two years. The company's problem came as it tried to move from a 14-nanometer manufacturing process to 10nm, the next "node" of progress. (A nanometer is a billionth of a meter.)
Intel didn't respond to a request for comment. Apple didn't comment for this story.
Apple's chip foundry, Taiwan Semiconductor Manufacturing Co., took advantage of Intel's lag to the benefit of Apple, Nvidia, AMD and other Intel rivals. It now leads in electronics miniaturization and the all-important measurement of performance per watt of power consumed.
The result is the M1 Pro and M1 Max, which according to Apple's measurements are 1.7 times faster than Intel's current eight-core Tiger Lake chips, formally called 11th generation Core. Compared differently, the M1 Pro and Max consume 70% less power than the Tiger Lake chips at the same performance level.
Apple doesn't reveal which speed tests it uses, so the results are hard to validate at this stage. The consensus, however, is that the performance claims are valid in broad terms.
"I am overall impressed at what Apple has been able to do on the latest process from TSMC," said Patrick Moorhead, analyst at Moor Insights and Strategy. He estimates that Apple saves a few hundred dollars per laptop because it doesn't have to buy Intel processors, although it spends a lot of that money designing its chips.
Don't count Intel out yet
To be sure, Intel won't be hurt badly by the loss of Apple's business. The company has plenty of other business. The vast majority of Windows PCs still use x86 processors from Intel and AMD. And customers only rarely change from Windows to MacOS or vice versa.
It also doesn't have a lot of competition. Apple doesn't license its chips to others, and Qualcomm's efforts to sell processors to PC makers has been a limited success at best.
Intel mostly has to worry about AMD, which makes increasingly capable chips but still trails in market share.
Intel also has its Alder Lake processor, scheduled for later this year, and Meteor Lake processor, coming in 2023, to generate excitement. The chips will bring speed boosts in part by adopting a combination of performance and efficiency cores, just like the M1 does, and by adopting the new Intel 7 and Intel 4 manufacturing processes.
Still, Apple has taken wind out of Intel's sails. Intel may narrow the gap as its new chips hit the market. But in the meantime, Apple's M series could help it steal market share from Windows computers, Intel's stronghold.
Nvidia's $2,500 Titan RTX is its most powerful prosumer GPU yet
Nvidia's $2,500 Titan RTX is its most powerful prosumer GPU yet
Nvidia's Titan cards have always walked a fine line between the gamer-oriented GeForce and the professionally targeted Quadro. They're basically Quadro-power cards with GeForce-capability drivers. That historically plops them into the really, really expensive gaming GPU category or on the lists of video professionals who demand speed and value more than certification.
The new $2,499 Titan RTX, a Turing-architecture-based card that Nvidia announced Monday, adds even more of that power to the mix. It should still appeal to gamers, especially those who want to play Metro Exodus in 8K when it arrives in 2019. But the architecture's optimized ray-tracing and AI-acceleration cores also make it an option for more dataset-focused research, AI and machine-learning development and real-time 3D professional work that doesn't require workstation-class drivers.
The distinction between the GeForce and Quadro cards is waning over time as applications drift away from OpenGL. Adobe's video applications such as Premiere and After Effects, for example, use the CUDA cores directly for acceleration. But Photoshop is still the elephant in that room. You can still only get 30-bit color support (10 bits per channel) with the workstation drivers, which are restricted to Quadro cards.
It's hard to make direct comparisons solely based on specs, in part because Nvidia is inconsistent about the specs it provides at launch. You usually have to wait a little bit until people dig in and ferret them out.
Most of the specs Nvidia's provided for the $6,300 Quadro RTX 6000 and the $2,499 Titan RTX are almost identical -- the Quadro does have a faster base GPU clock speed and four DisplayPort connectors vs. the Titan's three. So I can't wait to find out what magic the Quadro performs that merits an almost $4,000 premium. Given that neither GPu is shipping yet (the Quadro's in preorder and the Titan is slated for the end of November), we'll have to wait and see.
On the flipside, the less-endowed Quadro RTX 5000 only costs $200 less than the Titan RTX, so you give up quite a bit of power in exchange for those workstation certifications.
As a gaming card, it looks like it'll fit right into its traditional slot as a power bump up from the highest-end GeForce. But unless it delivers a bigger performance gap than the previous generation's GTX 1080 Ti/Titan Xp, it will be doubly not worth it at twice the price of the RTX 2080 Ti. Or it will be, at least, until more games ship which take advantage of its ray-tracing processors.
Comparative specifications
GeForce RTX 2080 Ti (Founders Edition)
Quadro RTX 5000
Quadro RTX 6000
Titan RTX
Titan Xp
GPU
TU102
TU104
TU102
TU102
GP102
Memory
11GB GDDR6
16GB GDDR6
24GB GDDR6
24GB GDDR6
12GB GDDR5X
Memory bandwidth
616GB/sec
448GB/sec
672GB/sec
672GB/sec
547.7GB/sec
GPU clock Speed (MHz, base/boost)
1,350/1,635
1,620/1,815
1,440/1,770
1,350M/1,770
1,405/1,582
Memory data rate/Interface
n/a/352 bit
n/a/256 bit
n/a/384 bit
14Gbps/384 bit
11.4Gbps/384 bit
Texture fill rate (gigatexels per second)
420.2
348.5
509.8
510
379.7
Ray Tracing (Gigarays per second)
10
8
10
11
n/a
RT cores
68
48
72
72
n/a
RTX-OPS (trillions)
78
62
84
n/a
n/a
CUDA Cores
4,352
3,072
4,608
4,608
3,840
Tensor Cores
544
384
576
576
n/a
FP32 (TFLOPS, max)
14
11.2
16.3
n/a
12.1
Price
$1,200
$2,300
$6,300
$2,500
$1,200
Correction, 12:55 p.m. PT: An earlier headline on this story had the incorrect price for the Nvidia Titan RTX. It costs $2,500.
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AMD Radeon RX 6800 series graphics cards have serious 4K cred
AMD Radeon RX 6800 series graphics cards have serious 4K cred
AMD is finally going after 4K gaming with its impressive top-end PC graphics cards, the Radeon RX 6800 and 6800 XT (and 6900 XT) after spending its time concentrating on value buyers. Its still-current RX 5700 XT was formerly the top of the line and designed for 1440p play, though I expect AMD will bring the rest of the Radeon cards up to date with the latest technologies. All the new cards incorporate the RDNA 2.0 architecture that's in the graphics processing units for the upcoming Xbox Series X and S and PS5 consoles and directly tackle the new Ampere-architecture GeForce RTX 3080 and 3070 recently launched by Nvidia.
The RX 6800 and its higher-end sibling, the RX 6800 XT, fall between the Nvidia cards in performance and price -- at least by manufacturer price. The $579 (directly converted: £435, AU$790) RX 6800 falls between the $499 (£375, AU$680) RTX 3070 and the $699 (£525, AU$960) RTX 3080, while the $649 (£490, AU$890) RX 6800 XT competes almost directly with the RTX 3080. Actual prices can vary a lot, however, depending on stock and the "something extra" that third-party card makers throw into the mix, so they're frequently higher than AMD and Nvidia's explicit target. The new cards are available as of today.
So far I'm impressed with the performance of both of the 6800 cards, but exactly how impressed will depend upon where the prices land when the market has settled. They both hit eminently playable 4K frame rates and that's before you start futzing with driver settings like overclocking and upscaling with FidelityFX, AMD's open-source image quality toolkit. When the cards are maxing out the graphics processing unit, the fans can get loud, but they never get too hot or unstable. (I never pushed them to the point where I'd expect them to, though.)
The Radeon RX 6800 (top) and RX 6800 XT (bottom).
Lori Grunin/CNET
Physically, the 6800 is narrower than the 6800 XT, and both are longer than Nvidia's RTX 3070 (but shorter than the RTX 3080). The three fans suck air in from the side and blow it out through the top and bottom; there's no venting out of the back as there is on the RTX cards. They use standard eight-pin power connectors and provide an HDMI, two DisplayPorts and a USB-C port.
The Radeon RX 6800 cards are on the long side, and I don't think I'd try to cram one into a small system.
Lori Grunin/CNET
Hardware performance improvements over previous generations stem partly from the higher-density on-die Infinity Cache design (all have 128MB) and enhanced design of the compute units, which includes a new Ray Accelerator core for each compute unit. These combine to improve the memory subsystem by reducing the latency of moving data around, increase bandwidth by up to 2.2x with a narrower path (256 bits) and deliver better energy efficiency. That also allows the processors to hit higher clock frequencies without a substantial increase in power requirements.
Specifications
AMD Radeon RX 6800
AMD Radeon RX 6800 XT
Memory
16GB DDR6
16GB DDR6
Memory bandwidth (GB/sec)
512
512
Memory clock (GHz)
2.0
2.0
GPU clock (GHz, base/boost)
1.815/2.105
2.015/2.250
Memory data rate/Interface
16Gbps/256 bit
16Gbps/256 bit
Texture fill rate (gigatexels per second)
505.2
648
Ray Accelerators
60
72
Stream cores
3,840
4,608
Texture mapping units
240
288
Compute Units
60
72
TGP/min PSU (watts)
250/650
300/750
Bus
PCIe 4.0 x 16
PCIe 4.0 x 16
Size
2 slots; 10.5 in/267mm long
2.5 slots; 10.5 in/267mm long
Price
$579
$649
Relative performance between the AMD and Nvidia cards seems to be mixed across the board as well. (It'll require a lot more testing to confirm the patterns I'm seeing.) There's a significantly smaller gap between the 6800 XT and 6800 and Nvidia's cards at 4K than at 1080p, for example, which is more than likely due to their 16GB of memory (the 3080 has 10GB) and the Infinity Cache.
You generally don't take much of a hit going from 1080p to 1440p with AMD's cards. For instance, on Shadow of the Tomb Raider the 6800 XT dropped from 140fps to 132fps on average. The details look different, though. I noticed more reliance on the central processing unit and less consistency in the amount of time it takes to render a frame in 1440p. On the Deus Ex: Mankind Divided benchmark, the AMD cards dropped less than 3% from 1080p to 1440p. The RTX 3070 and 3080 lost about 20%.
The Radeon RX 6800.
Lori Grunin/CNET
The AMD cards also hit higher graphic processing unit clock rates for DirectX 12 calls than for DirectX 11. The GPU clock frequencies -- memory and instruction -- also vary a lot more relative to each other. By comparison, the 3070's frequencies are in lockstep. Much of this may be driver-related since AMD's driver makes more automatic on-the-fly adjustments. The behavior isn't necessarily a bad thing, just different.
There's an optimized all-AMD configuration, which takes advantage of the cards' new Smart Access Memory. SAM basically gives the card direct access to the main system memory across the system bus, rather than having to use the central processing unit as a middle man. But that's only in systems using one of the company's new Ryzen 5000 series of desktop CPUs, and AMD says it only boosts frame rates by up to 13%. I haven't had a chance to try it for want of a motherboard and CPU, though.
Between the new consoles and the barrage of graphics cards, this is an exhausting -- or exhilarating, take your pick -- time to shop for new gaming gear, especially gear that likely won't see a Black Friday discount this holiday shopping season. Toss in the supply problems we've been seeing for consoles and graphics cards, and you've got plenty of time to make a decision. As long as the prices don't get too high, or Nvidia's don't get too low, AMD's enthusiast gaming GPUs are more competitive than they've ever been.
