Tesla rack server

[hekt0]

Вот это то самое будущее:



Поддержка до 4х GPU дает 2ТФ пиковой производительности.

Спецификация для тех, кому интересно

Supporting Platforms

* NVIDIA® Tesla™ tested system*
* Microsoft® Windows® XP (32-bit) (Available on Tesla C870 and Tesla D870 only)
* Linux® (64-bit and 32-bit)
o Red Hat Enterprise Linux 4 and 5
o SUSE 10.1, 10.2 and 10.3 (coming soon)

NVIDIA Tesla Architecture

* Massively-parallel computing architecture with 128 multi-threaded processors per GPU
* Scalar thread processor with full integer and floating point operations
* Thread Execution Manager enables thousands of concurrent threads per GPU
* Parallel Data Cache enables processors to collaborate on shared information at local cache performance
* Ultra-fast memory access with 76.8 GB/sec. peak bandwidth per GPU
* IEEE 754 single-precision floating point

Scalable Solutions

* Scalable from one to thousands of GPUs
* Available in GPU computing processor, deskside GPU computing system and 1U rack-mount GPU computing system

Software Development Tools

* C language compiler, profiler and emulation mode for debugging
* Standard numerical libraries for FFT (Fast Fourier Transform) and BLAS (Basic Linear Algebra Subroutines)

Product Details

* Tesla C870 GPU Computing Processor
o One GPU (128 thread processors)
o 1.5 GB dedicated memory
o Fits in one full-length, dual slot with one open PCI Express x16 slot
* Tesla D870 Deskside GPU computing system
o Two GPUs (128 thread processors per GPU)
o 3 GB system memory (1.5 GB dedicated memory per GPU)
o Quiet operation (40dB) suitable for office environment
o Connects to host via cabling to a low power PCI Express x8 or x16 adapter card
o Optional rack mount kit
* Tesla S870 GPU Computing System
o Four GPUs (128 thread processors per GPU)
o 6 GB of system memory (1.5 GB dedicated memory per GPU)
o Standard 19”, 1U rack-mount chassis
o Connects to host via cabling to a low power PCI Express x8 or x16 adapter card
o Configuration: 2 PCI Express connectors driving 2 GPUs each (4 GPUs total)

*for Tesla D870 and Tesla S870
www.nvidia.com/object/tesla_tech_specs.html