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Nvidia Tesla S1070

NVIDIA Tesla

NVIDIA Tesla S1070 4 TeraFlop GPU HPC Server


Overview

Providing the world’s first teraflop multi-core GPU processor, the NVIDIA® Tesla™ S1070 1U HPC computing system radically speeds the transition to energy-efficient parallel computing. With 960 dedicated processor cores (4x 240cores per GPU) and a standard C compiler that simplifies application development, NVIDIA's Tesla S1070 scales to solve the world’s most important computing challenges more quickly and accurately.

NVIDIA Tesla
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 960 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 Tesla

NVIDIA Tesla
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.

Features

FeaturesBenefits
Four 1-Teraflop Processors in a High Density 1U System
Delivers up to 4 teraflops of performance in a 1U rack-mount system for unmatched performance in high density rack systems.
Massively-Parallel Many-Core Architecture
240 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.
16 GB Ultra-fast Memory
Enables larger datasets to be stored locally with 4 GB dedicated for each processor to maximize performance and minimize data movement around the system.
4x 512-bit Memory Interface
Delivers 408 GB/s peak memory bandwidth for blistering data transfer as a 512-bit interface dedicated to each processor.
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).

Specifications

# of Tesla GPU's
4
# of Streaming Processor Cores
960 (240 per processor)
Frequency of processor cores
1.296 to 1.44  GHz
Single Precision floating point performance (peak)
3.73 to 4.14 TFlops
Double Precision floating point performance (peak)
311 to 345 GFlops
Floating Point Precision
IEEE 754 single & double
Total Dedicated Memory
16 GB 
Memory Interface
512-bit
Memory Bandwidth
408 GB/sec
Max Power Consumption
800 W
System Interface
PCIe x16 or x8
Software Development Tools
C-based CUDA Toolkit
 


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