• Welcome to TechPowerUp Forums, Guest! Please check out our forum guidelines for info related to our community.
  • The forums have been upgraded with support for dark mode. By default it will follow the setting on your system/browser. You may override it by scrolling to the end of the page and clicking the gears icon.

NVIDIA Unveils Tesla GPU Computing Processor

malware

New Member
Joined
Nov 7, 2004
Messages
5,422 (0.72/day)
Location
Bulgaria
Processor Intel Core 2 Quad Q6600 G0 VID: 1.2125
Motherboard GIGABYTE GA-P35-DS3P rev.2.0
Cooling Thermalright Ultra-120 eXtreme + Noctua NF-S12 Fan
Memory 4x1 GB PQI DDR2 PC2-6400
Video Card(s) Colorful iGame Radeon HD 4890 1 GB GDDR5
Storage 2x 500 GB Seagate Barracuda 7200.11 32 MB RAID0
Display(s) BenQ G2400W 24-inch WideScreen LCD
Case Cooler Master COSMOS RC-1000 (sold), Cooler Master HAF-932 (delivered)
Audio Device(s) Creative X-Fi XtremeMusic + Logitech Z-5500 Digital THX
Power Supply Chieftec CFT-1000G-DF 1kW
Software Laptop: Lenovo 3000 N200 C2DT2310/3GB/120GB/GF7300/15.4"/Razer
NVIDIA today announced Tesla, a new class of processors based on a revolutionary new graphics processing unit (GPU). Under the Tesla brand, NVIDIA will offer a family of GPU computing products that will place the power previously available only from supercomputers in the hands of every scientist and engineer. The Tesla family of GPU computing solutions span PCs to large scale server clusters.



The new family includes:
  • NVIDIA Tesla C870 GPU Computing Processor, a dedicated computing board that scales to multiple Tesla GPUs inside a single PC or workstation. The Tesla GPU features 128 parallel processors, and delivers up to 518 gigaflops of parallel computation. The GPU Computing processor can be used in existing systems partnered with high-performance CPUs.
  • NVIDIA Tesla S870 Deskside Supercomputer, a scalable computing system that includes two NVIDIA Tesla GPUs and attaches to a PC or workstation through an industry-standard PCI-Express connection. With multiple deskside systems, a standard PC or workstation is transformed into a personal supercomputer, delivering up to 8 teraflops of compute power to the desktop.
  • NVIDIA Tesla D870 GPU Computing Server, a 1U server housing up to eight NVIDIA Tesla GPUs, containing more than 1000 parallel processors that add teraflops of parallel processing to clusters. The Tesla GPU Server is the first server system of its kind to bring GPU computing to the datacenter.
Pricing and Availability

For more NVIDIA Tesla product information, including a list of officially certified host systems and authorized partners, please visit: http://www.nvidia.com/tesla.

View at TechPowerUp Main Site
 
i want to play Doom 2 on it :D
 
Does it come with Tesla Coils included? :D
 
Does it have enough precision to run F@H finally?
 
Haven't these been out for a while?

It's basically a render farm, isn't it?
 
Yea ATi did it with Air Force Flight Sims.

One of my friends has one on base with 30 x800s running it it.
 
can you imagine running gameson these processors?
 
Yea, Sun makes these too... if MS doesn't support compiling, it won't be mainstream for a while - unless it really is light years ahead.
 
The greatest scientist ever, just checkout all his inventions/theories that were actually put into practice literally hundreds upon hundreds (if not thousands) of Tesla patents, unbelievable.
 
can you imagine running games on these processors?

It probably wouldn't run very well. I don't know many FireGL and Quadro gamers.

Speaking of which, what's the difference between the Desktop Telsa and a FireGL or Quadro?
 
In a lot of cases there really isn't much of a difference at all, the greatest difference is usually in the drivers.
 
So the C870 is an 8800 GTX.
Ans the D870 is eight 8800 GTSs.
 
I read about this some time ago, I recall it basically being GPU's used as coprocessors much like using them for physics and folding and such. Basically it's the software you're buying here. I wonder if there are any uses for us home users.
 
That´s "just" G80 in multi-SLI, no new GPU as Nvidia suggests ist is ;).
 
I read about this some time ago, I recall it basically being GPU's used as coprocessors much like using them for physics and folding and such. Basically it's the software you're buying here. I wonder if there are any uses for us home users.
That's my question as well. That's a whole lot of fpu power.
 
hehe... want some prices?
The Tesla S870, D870 and C870 carry an MSRP of $12,000, $1,499 and $7,500, respectively.

and:
The Tesla S870 consumes up to 800-watts of power and fits into a stackable 1U chassis.

wooohoooo




source: dailytech
 
Back
Top