Overview

Based on the new NVIDIA CUDA ™ GPU architecture codenamed “Fermi”, the Tesla™ S2050 1U Computing System is designed from the ground up for high performance computing.

The Tesla S2050 Computing System delivers “must have” features for the technical and enterprise computing space including ECC memory for uncompromised accuracy and scalability, and 7X the double precision performance compared Tesla 10-series GPU computing products. Compared to typical quad-core CPUs, Tesla 20-series computing systems deliver equivalent performance at 1/10th the cost and1/20th the power consumption.

Designed with four Fermi-based Tesla computing processors in a standard 1U chassis, the Tesla S2050 computing system scales to solve the world’s most important computing challenges – more quickly and accurately.

Features and Benefits

GPUs powered by the Fermi-generation of the CUDA architecture	Delivers cluster performance at 1/10th the cost and 1/20th the power of CPU-only systems based on the latest quad core CPUs.
448 Cores	Delivers up to 515 Gigaflops of double-precision peak performance in each GPU, enabling 2 Teraflops of double precision performance in a 1U of space. Single precision peak performance is over a Teraflop per GPU.
ECC Memory	Meets a critical requirement for computing accuracy and reliability for workstations. Offers protection of data in memory to enhance data integrity and reliability for applications. Register files, L1/L2 caches, shared memory, and DRAM all are ECC protected.
System Monitoring Features	Simplifies management and remote monitoring post-installation via NVSMI. Status lights on the front and rear of the unit ensures IT staff can see the status whether they are on the either side of the rack.
Up to 3GB of GDDR5 memory per GPU	Maximizes performance and reduces data transfers by keeping larger data sets in local memory that is attached directly to the GPU.
NVIDIA® Parallel DataCache™ Technology	Accelerates algorithms such as physics solvers, ray-tracing, and sparse matrix multiplication where data addresses are not known beforehand. This includes a configurable L1 cache per Streaming Multiprocessor block and a unified L2 cache for all of the processor cores.
NVIDIA® GigaThread™ Engine	Maximizes the throughput by faster context switching that is 10X faster than previous architecture, concurrent kernel execution, and improved thread block scheduling.
Asynchronous transfer capability	Turbocharges system performance by transferring data over the PCIe bus while the computing cores are crunching other data. Even applications with heavy data-transfer requirements, such as seismic processing, can maximize the computing efficiency by transferring data to local memory before it is needed.
CUDA programming environment with broad support of programming languages and APIs	Choose C, C++, OpenCL, DirectCompute, or Fortran to express application parallelism and take advantage of the “Fermi” GPU’s innovative architecture.
High Speed , PCIe Gen 2.0 Data Transfer	Maximizes bandwidth between the host system and the Tesla processors. Enables Tesla systems to work with virtually any PCIe-compliant host system with an open PCIe x16 slot.

Technical Specifications

Form Factor	• 1U
# of Tesla GPUs	• 4
GPU Memory Speed	• 1.55 GHz
GPU Memory Interface	• 384-bit
GPU Memory Bandwidth	• 148 GB/sec
Double Precision Floating Point Performance (Peak)	• 2 Tflops
Single Precision Floating Point Performance (Peak)	• 4.13 Tflops
Total Dedicated Memory*	• 12GB GDDR5 *Note: With ECC on, a portion of the dedicated memory is used for ECC bits, so the available user memory is reduced by 12.5%. (e.g. 3 GB total memory yields 2.625 GB of user available memory.)
Power Consumption (Typical)	• 900W TDP
System Interface	• PCI Express x16 Gen2
Software Development Tools	• CUDA C/C++/Fortran, OpenCL, DirectCompute Toolkits • NVIDIA Parallel Nsight™ for Visual Studio

Images

NVIDIA® Tesla™ S2050 1U Computing System

Resources

NVIDIA Tesla S2050 Datasheet
Click here to download the S2050 datasheet (198 KB PDF)

NVIDIA CUDA™
NVIDIA CUDA™ technology is the world’s only C language environment that enables programmers and developers to write software to solve complex computational problems in a fraction of the time by tapping into the many-core parallel processing power of GPUs. With millions of CUDA-capable GPUs already deployed, thousands of software programmers are already using the free CUDA software tools to accelerate applications—from video and audio encoding to oil and gas exploration, product design, medical imaging, and scientific research.
Click here to learn more

NVIDIA CUDA Development Tools
NVIDIA’s CUDA development tools provide three key components to help you get started: the latest CUDA driver, a complete CUDA Toolkit, and CUDA SDK code samples.
Click here to download CUDA driver and toolkit