Nvidia Tesla S2070

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NVIDIA Tesla S2050 / S2070 GPU Computing Server

Overview

Based on the new NVIDIA CUDA™ GPU architecture code named “Fermi”, the Tesla™ S2050/S2070 1U Computing Systems are designed from the ground up for high performance computing. It supports “must have” features for the technical and enterprise computing space including ECC memory for uncompromised accuracy and scalability, and 8X the double precision performance compared Tesla 10-series GPU computing products. Compared to the latest quad-core CPUs, Tesla 20-series computing systems deliver equivalent performance at 1/20th the power consumption and 1/10th the cost.

Designed with four latest-generation Tesla computing processors in a standard 1U chassis, the Tesla S2050/S2070 computing systems scales to solve the world’s most important computing challenges – more quickly and accurately.

Feeding HPC Industry’s Relentless Demand for Performance. Keeps pace with the increasing demands of the toughest computing challenges including drug research, oil and gas exploration and computational finance. Many-core Architecture Delivers Optimum Scaling across HPC Applications. Parallel performance from over 1,792 cores capable of concurrent execution of thousands of computing threads and scalable architecture meets computational demands of applications whose complexity has outstripped the CPU’s ability to solve them.

High Efficiency Computing Platform for Energy-conscious Organizations. Higher performance and higher density for solving complex problems with fewer resources.

NVIDIA CUDA™ Technology Unlocks the Power of Tesla Many-core Computing Products. The only C language environment that unlocks the many-core processing power of GPU's to solve the world’s most computationally-intensive challenges.

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Features

Features	Benefits
Four NVIDIA Tesla 2050/2070 Processors in a High Density 1U System	Delivers Multi-tera Flops of Double Precision performance in a 1U rack-mount system for unmatched performance in high density rack systems.
Massively-Parallel Many-Core Architecture	Over 448 computing cores per processor that can execute thousands of concurrent threads.
Scales to Multi-GPU Computing	Scale to thousands of processor cores to solve large-scale problems by splitting the problem across multiple GPU's
Program in NVIDIA CUDA™: C for GPU	Programmable using CUDA, the world's leading application development platform for many core solutions.
IEEE 754 Floating Point	Ensures your results meet industry standard precision including optional features to ensure accuracy.
Double-Precision Floating Point Support	Meets the precision requirements of your most demanding applications with IEEE 64-bit precision.
Asynchronous Data Transfer	Turbo charges system performance because data transfers can be executed even while the computing cores are busy.
12/24 GB Ultra-fast Memory	Enables larger datasets to be stored locally with 3/6 GB dedicated for each processor to maximize performance and minimize data movement around the system.
High-Speed, PCI-Express 2.0 Data Transfer	With low latency and high bandwidth, computing applications benefit from the highest data transfer rate possible through standard PCI-Express architecture.
Single-screw Rail Mounting	Single-screw rail design is quick to install like a tool-less design, but with the extra security and rigidity from a single screw to secure the rail to the rack.
System Monitoring Features	Easy management and monitoring post-installation helps your IT staff manage systems with minimal effort. Remote capabilities and status lights on the front and rear of the unit ensure your staff can see the status whether they are on the other side of the rack, or the other side of the world.
Dual PCI-Express 2.0 Cable Connections	Maximizes bandwidth between the host processor and the Tesla processors with up to 12.8 GB/s transfer rates (up to 6.4 GB/s per PCI Express connection)
Small-form-factor (SFF) host adapter card	The low power host adapter card enables Tesla systems to work with virtually any PCIe compliant host system with an open PCI Express slot (x8 or x16).

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Specifications

# of Tesla GPU's	4
# of Streaming Processor Cores	1792 (448 per processor)
Floating Point Precision	IEEE 754 single & double
Total Dedicated Memory	12/24 GB
System Interface	PCIe x16 or x8
Software Development Tools	C-based CUDA Toolkit