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Tesla Reviews



The definition of a personal supercomputer goes something like this: it is inexpensive, can sit on a desk, plugs into a wall socket and is at least within jumping distance of the Top500 supercomputing list. By that measure, Nvidia Corp. 's new computer is one of the first arrivals in this emerging product category.


Designed to give researchers the horsepower to perform complex, data-intensive computations at their desk, the Tesla is more of a reference design than an end product. Actual systems will be built and supported by hardware vendors rather than Nvidia.

The Inquirer

“The [desktop supercomputer] idea isn’t one that’s just been pulled out of a hat, but previous attempts at desktop supercomputery have all been a bit of a flop (as opposed to FLOPS). But Nvidia seems to think a Tesla desktop might just cut it, and has set about convincing the likes of Dell, Asus, Lenovo, Scan and Boxx to start configuring one up.”

Dubai Chronicle

With NVIDIA’s graphics processing unit (GPU) computing technology gaining momentum worldwide, the company is using this year’s Scientific Computing event in Austin, Texas to showcase the most innovative new applications and hardware entering the market. 


Yesterday, Tokyo Institute of Technology’s TSUBAME became the first supercomputer to achieve a ranking in the world’s top supercomputers with an NVIDIA Tesla GPU-based cluster. Ranked 29 out of 500, TSUBAME now delivers 170 teraFLOPS of performance through its addition of 170 Tesla S1070 1U systems.


NVIDIA has released its Tesla personal supercomputer that delivers 250 times the processing power of a conventional PC.

IT Pro

Nvidia’s Tesla GPU’s are based on their mainstream GeForce range but use Nvidia’s high-level C-based CUDA programming language to harness the GPU’s highly parallel processing power. This makes them well suited to specialist high performance computing requirements, such as financial modelling and industrial markets, such as the oil industry.

Reg Hardware

That said, it's not a rig for gamers - well not many of 'em, anyway - but for boffins who need to process highly complex data models. Think Folding@Home running many times more rapidly than it can manage on your own PC CPU's downtime.

Product Reviews

It will give you power of the traditional supercomputer cluster at 1/100th of the price and if that is not enough how about a platform based on the company’s new Tesla C1060 GPU Computing Processor which in itself is based on NVIDIA’s CUDA parallel computing architecture.

PC Advisor

Nvidia has announced the Tesla Personal Supercomputer, which it says has the power of a cluster of at a small fraction of the cost.