Tag: Nvidia

Nvidia to launch most powerful card yet

Nvidia is officially launching its most powerful gaming graphics card today.

Dubbed the GeForce GTX 1080 Ti, the card was announced last week at the Game Developers Conference.

Nvidia has now spilt the beans on the card’s performance. Though its memory complement and a few blocks within the GPU are reduced versus Nvidia’s previous top-end card, the Titan X, the GeForce GTX 1080 Ti makes up for its shortcomings with higher memory clocks.

These are based on new and improved Micron GDDR5X memory, faster core clocks and an improved cooler.

The 1080 Ti retails for $699, which is nearly half the price of the $1200 for the Titan X, and it is faster.

The GeForce GTX 1080 Ti performed on par with or slightly faster than the NVIDIA Titan X and roughly 30-35 per cent better than the standard GeForce GTX 1080 Founders Edition.

There is no competition with AMD’s current flagship GPU, the Radeon R9 Fury X; the GeForce GTX 1080 Ti was at times nearly twice as fast than the Fury X.

Nvidia shows off GeForce GTX 1080 Ti

Nvida just lifted its kimono on the long-rumoured GeForce GTX 1080 Ti during the San Francisco Games Developers Conference.

The card will sit at the top of Nvidia’s  GeForce offerings snuggled alongside the Titan X and GeForce GTX 1080. According to Nvidia’s marketing material the GTX 1080 Ti, promising significant performance gains over the GTX 1080 and faster than Titan X performance, for a much lower price of $699.

The 12 billion Nvidia GP102 transistors on the card have 3,584 CUDA cores, which is the same as Nvidia’s Titan X.

However, the GeForce GTX 1080 Ti will have fewer ROP units at 88, versus 96 in the Titan X.

The 1080 Ti will also, however, come equipped with 11GB of premium GDDR5X memory from Micron clocked at 11,000 MHz for an effective 11Gbps data rate.

Peak compute throughput of the GeForce GTX 1080 Ti is slightly higher than the Titan X due to the Ti’s higher boost clock.

Memory bandwidth over its narrower 352-bit GDDR5 memory interface is 484GB/s, which is also slightly higher than a Titan X as well. Nvidia’s also noted that peak overclocks on the core should hit 2GHz or higher if the wind is in the right direction.

This means that the GeForce GTX 1080 Ti will be faster than the Titan X out of the box, faster still when overclocked.

Nvidia is having to compete with cheaper and just as effective offerings coming out from AMD so the card had to be pretty good.

Nvidia coins it in

nvidiaNvidia’s moves to expand into areas outside its traditional gaming computer base appear to be paying off.

The company saw its quarterly revenue surge more than 50 percent for the second straight quarter.

The reason appears to be the use of its GPUs in self-driving systems and artificial intelligence.

The company predicted it would make $1.90 billion, plus or minus 2 percent, for the current quarter. This is a bit higher than the $1.88 billion Wall Street thought.

Revenue in the company’s graphics processing units’ business, which contributes more than three-quarters to its total revenue, rose 57 percent to $1.85 billion in the fourth quarter.

But the good numbers appeared to have come from its cloud services which more than tripled to $296 million in the quarter.

Nvidia Chief Financial Officer Colette Kress said the company’s cloud business was expected to grow like topsy.

Nvidia’s automotive business, which produces the DRIVE PX 2 self-driving system used by Tesla saw a 37.6 percent rise to $128 million.

Analysts had expected revenue of $135.3 million from the business.  Nvidia’s total revenue rose to $2.17 billion from $1.40 billion, beating the average analyst estimate of $2.11 billion.

Baidu and Nvidia steal your voice

lost voiceChinese internet giant Baidu and its chum Nvidia claim to have developed an artificial intelligence system which it claims, can successfully imitate your voice after hearing you speak for only thirty minutes.

At Baidu World, the company’s annual tech expo, CEO Robin Li launched the AI project entitled ‘Baidu Brain’, a tripartite initiative which it has undertaken in partnership with Nvidia. Baidu Brain is concerned with AI algorithms, computing power, and big data.

Li said that the system had extensive speech synthesis capabilities and could imitate you completely:

“Anyone just records 50 sentences as required in 30 minutes, and our speech synthesis technology could simulate the person’s voice. We could let everyone have their own voice model.”

We have heard this before. AT&T Labs once promised to bring dead celebrities back to life with a “custom voice” product called Natural Voices. The technology was acquired by speech synthesis specialists Nuance who abandoned it.

However it could have more spooky uses. You could, for example, mimic a general giving orders on the phone by building a database of his public speeches.

So far Baidu has not said what it can do in terms of voice cloning but it might be that in a few years you may been to share some passwords so that you know who you are talking to on the phone.


Nvidia releases answer to AMD’s Radeon RX 480

nvidiaNvidia just launched its Pascalish answer to AMD’s Radeon RX 480 mainstream card.

The GeForce GTX 1060 has about half of the resources of Nvidia’s super expensive GeForce GTX 1080 and the outfit claims it’s on par with a previous generation high-end GeForce GTX 980.

It runs on 120W and is a mix of low-power and high-performance. The new GeForce GTX 1060 features a new Pascal derivative GPU that’s somewhat smaller, called the GP106. It has 10 streaming multiprocessors (SM) with a total of 1280, single-precision CUDA cores and eight texture units.

The GeForce GTX 1060 also features six 32-bit memory controllers, for 192-bits in total. GeForce GTX 1060 cards with either 6GB or 3GB of GDDR5 memory will be available and offered performance that just misses the mark set by the pricier AMD Radeon R9 Nano.

The GeForce GTX 1060 has the largest leads over the Radeon RX 480 in the DirectX 11 tests, though the Radeon had a clear edge in OpenCL and managed to pull ahead in  some DirectX 12 tests.

The GeForce GTX 1060, however, consumes significantly less power than the Radeon RX 480 and is quieter too.

All up it means that Nvidia and AMD are squaring up with different offerings for a similar price

Nvidia talks up Pascal

nvidiaNvidia CEO Jen-Hsun Huang has been telling the Nvidia Computex 2016 press conference about his latest Pascal-based GPUs.

He claimed they were being broadly adopted in applications including data centers, car-use electronics and deep-learning platforms.

He said Pascal GPUs will continue to use TSMC 16nm FinFET manufacturing process to provide enhanced performance than previous-generation products.

He said next-generation servers built by Nvidia’s Tesla P100 GPUs can compete against servers that are equipped with several hundreds of CPUs. Nvidia also showcased a server system manufactured by Quanta Computer.

He also showed the Pascal-based GeForce GTX 1080 reference design, displayed at the conference, the board is manufactured by Foxconn.

Nvidia has been pushing its Pascal GPUs into industry sectors, including virtual reality, car-use electronics and deep-learning. As for mobile devices such as smartphones and tablets, Huang noted that Nvidia has no interest in smartphones.

Nvidia shows off Pascal GPU

nvidiaNvidia has unveiled its next-generation Pascal-based GeForce GPUs.

Dubbed the GeForce GTX 1080 and GeForce GTX 1070, the pair of chips are based around Nvidia’s Pascal 16nm FinFET technology.  They are similar to Nvidia’s high-end data centre Tesla P100 processing engine but geared for the consumer gaming market.

The GP104 GPU at the heart of the new GeForce cards has eight billion transistors and features a 256-bit memory interface with 8GB of Micron GDDR5X graphics memory on the GeForce GTX 1080. The GTX 1070 uses standard GDDR5.

The GeForce GTX 1080 hit 2.1GHz at one point during the demonstration and Nvidia is not talking about the GTX 1070 clockspeed.

Nvidia CEO Jen-Hsun Huang claimed the new GeForce GTX 1080 is faster than a pair of GeForce GTX 980 cards in SLI and the company’s very expensive Titan X graphics card but at half the price.

The new GeForce GTX 1080 will be offered in two versions, a standard card for  $599 or an overclockable Founders Edition for $699. The standard GTX 1070 will cost at $379, while a Founders Edition will be priced at $449. Availability for the GTX 1080 will be in the shops on 27 May and the GTX 1070 for 10 June.


Nvidia’s patent trolling flops

Wikia_HP_-_Mountain_TrollA move by Nvidia to find a replacement for a lucrative patenting deal it has with Intel by patent trolling two other big names has backfired.

Since January 2011 Nvidia had a cushy deal with Intel where Chipzilla would pay it $1.5 billion.  It was great while it lasted but Intel has almost paid up and Nvidia thought it could get a similar licensing deal from Samsung and Qualcomm.

It unleashed its mighty briefs in September 2014 claiming that Samsung and Qualcomm had breached United States Patent Nos. 6,198,488, 6,992,667, 7,038,685, 7,015,913, 6,697,063, 7,209,140 and 6,690,372.

These patents were allegedly used in now ancient Qualcomm Snapdragon S4, 400, 600 or 800 series of processors, and devices such as the Samsung Galaxy Note 4, Galaxy Note Edge, Galaxy S5, Galaxy Note 3 (LTE), Galaxy S4, and Galaxy S III and the Samsung Note Pro LTE, Galaxy Tab 4, and Galaxy Tab 3 tablet.  It should have had Nvidia on a nice little earner.

Then something odd happened. Nvidia only mentioned Samsung in the lawsuit and stopped talking about Qualcomm. In September 2015 judge ruled that Samsung and Qualcomm actually didn’t infringe two of the patents.

It seems then that Nvidia went back to the negotiating table. It appears to have got a few minor agreements from Samsung and Qualcomm, but nothing like the sort of money it got from Intel.

The deal was so minor that Nvidia doesn’t want to talk about it. All the company is saying at this time the agreement covers the licensing of a small number of patents by each company to another.




Nvidia creates “miracle” deep learning chip

5136037690_97d228fa58Nvidia chief executive Jen-Hsun Huang announced that the company has created a new chip which can do five miracles – the Tesla P100 for deep-learning computing.

With 15 billion transistors, it’s the biggest FinFET chip Nvidia ever made. Huang told the throngs at the GPUTech conference in San Jose, California. He unveiled the chip after he said that deep-learning artificial intelligence chips have already become the company’s fastest-growing business.

Huang is claiming a lot for the chip saying it could do “five miracles.”  Not quite Jesus’s 37 but clearly Nvidia is catching up – although Huang’s definition of a miracle might be a little different from Christian myth.

“Three years ago, when we went all in, it was a leap of faith,” Huang said. “If we build it, they will come. But if we don’t build it, they won’t come.”

The chip has 15 billion transistors, or three times as much as many processors or graphics chips on the market. It takes up 600 square millimeters. The chip can run at 21.2 teraflops. Huang said that several thousand engineers laboured  on it for years.

“We decided to go all-in on A.I.,” Huang said. “This is the largest FinFET chip that has ever been done.”

Nvidia says it is shipping P100 to IBM, HPE, Dell, Cray, AI and cognitive cloud players, and key research institutions.

Huang showed a demo from Facebook that used deep learning to train a neural network how to recognize a landscape painting. They then used the network to create its own landscape painting.

He said that deep learning has become a new computing platform, and the company is dealing with hundreds of startups in the space that plan to take advantage of the platform.

“Our strategy is to accelerate deep learning everywhere,” Huang said.

Nvidia has also built a 170-teraflop DGX-1 supercomputer using the Tesla P100 chip.

“This is a beast of a machine, the densest computer ever made,” he said.


Nvidia gets under the bonnet of Volvo

volvo-adNvidia says that it has teamed up with the Swedish inventor of seat belts to place its chips under the bonnet of its cars.

Nvidia unveiled a new, lunchbox-size super-computer for self-driving cars and said Volvo Car Group will be the new device’s first customer.

CEO Jen-Hsung Huang said that his new Drive PX 2 has computing power equivalent to 150 PCs and can deliver up to 24 trillion “deep learning” operations – allowing the computer to use artificial intelligence to program itself to recognise driving situations – per second.

Partnerships between automakers and Silicon Valley companies on self-driving technologies are taking centre stage at this year’s show.

General Motors has announced a $500 million investment in ride-sharing service outfit Lyft.
Huang didn’t say how much his company is going to profit on the Drive PX 2, but automotive is the fastest-growing business segment for Nvidia. Its bread and butter is still video game GPUs.