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NVIDIA Tesla D870 GPU card

NVIDIA Tesla C870 quad GPU HPC system

NVIDIA Tesla S870 dual GPU 1U HPC system
NVIDIA takes on AMD's Stream Computing Initiative with its Tesla GPU cards and HPC systems

Late last year AMD and ATI merged into one company, forming not just a bigger entity but creating a very specific roadmap altogether. AMD's grand scheme with ATI is to develop a single chip handling both general purpose computing as well as graphics. The Fusion project as AMD calls it is this very goal.

Today, NVIDIA reveals that it is not behind when it comes to general purpose GPU, or GPGPU, computing. Earlier this year the company announced its complete unified device architecture, or CUDA, Technology, which laid the groundwork for GPGPU programming for NVIDIA GPUs. CUDA Technology directly competes with AMD’s Stream Computing initiative.

The GPGPU product lineup will be known as Tesla. Tesla is a top to bottom product lineup consisting of internal PCIe cards and external high-performance computing, or HPC, systems – Tesla C870, S870 and D870.

The internal PCIe solution consists of an output-less GeForce 8-series based card on a PCIe x16 card. The Tesla D870 is NVIDIA’s only internal GPGPU card for desktops. The GPGPU still requires two external PCIe power connectors and consumes up to 170-watts of power at maximum. NVIDIA claims the Tesla D870 delivers 518 Gigaflops of GPGPU processing power.

Last year, the company announced a highly integrated graphics sub-system named QuadroPlex. Using a number of GPUs in a tightly integrated system, the QuadroPlex family of machines accelerated 3D rendering and graphics work. QuadroPlex became the stepping-stone for the new Tesla C870.

The Tesla C870 GPGPU server packs two GeForce 8-series GPUs in an external system with packaging similar to the QuadroPlex. The GPGPU delivers one Teraflop of GPGPU computing power while consuming up to 550-watts of power.

Finally, the Tesla S870 comes equipped with four GeForce 8-series GPUs and offers up to two Teraflops of computing power. The Tesla S870 consumes up to 800-watts of power and fits into a stackable 1U chassis.

Tesla C870 and S870 systems connect to workstation systems via an external PCIe Gen2 x16 interconnect. The machines contain PCIe switches and can be daisy-chained with more systems. As with the Tesla D870 GPU card, the Tesla C870 and S870 systems lack output capabilities. Theoretically, customers can purchase multiple Tesla GPGPU systems and chain them up for big increases in performance.

NVIDIA designed the new Tesla family for everything from graphics rending to medical research and data farming. At the core level, GPUs are far more efficient at dealing with parallel computing than general-purpose processors. This makes Tesla very powerful for cluster-type applications.

The Tesla S870, D870 and C870 carry an MSRP of $12,000, $1,499 and $7,500, respectively.



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Compared to Intel's 80 core chip...
By Asspollo on 6/20/2007 3:34:06 PM , Rating: 2
IIRC, Intel's 80 core chip got 1 TFlop at 100 W power consumption, or ~5.5x more Flops per Watt than this product. This gives me high hopes for Intel's upcoming Larrabee GPU... if it comes anywhere close to the performance of the 80 core chip, it will be a real killer for GPGPU and should make a great GPU as well.




By kattanna on 6/20/2007 4:07:23 PM , Rating: 3
that was a test processor and the cores, all 80, couldnt really do anything usefull, like actual work.

but it was a proof of concept chip for making the interconnects for so many cores.


By killerroach on 6/20/2007 4:42:42 PM , Rating: 2
Also, keep in mind that Larrabee is an x86-based processor, while Terascale was something completely different entirely. I'm not convinced of the performance profile of Larrabee, but that's not Intel's concern... they're willing to give up theoretical performance in exchange for a product that developers have more experience coaxing performance out of (e.g. x86).


By arturnowp on 6/21/2007 3:23:12 AM , Rating: 2
but it's not out yet and it's 45nm, G80 is 90nm...


By crystal clear on 6/21/2007 5:43:17 AM , Rating: 2


The 80-core mystery



Ever since Intel showed off its 80-core prototype processor, people have asked, "Why 80 cores?"

There's actually nothing magical about the number, Bautista and others have said. Intel wanted to make a chip that could perform 1 trillion floating-point operations per second, known as a teraflop. Eighty cores did the trick. The chip does not contain x86 cores, the kind of cores inside Intel's PC chips, but cores optimized for floating point (or decimal) math.

Other sources at Intel pointed out that 80 cores also allowed the company to maximize the room inside the reticle, the mask used to direct light from a lithography machine to a photo-resistant silicon wafer. Light shining through the reticle creates a pattern on the wafer, and the pattern then serves as a blueprint for the circuits of a chip. More cores, and Intel would have needed a larger reticle.


http://news.com.com/Intel+readies+massive+multicor...


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