Introduction

- The NVIDIA Tesla Computing Modules enable seamless integration of GPU computing with HP ProLiant servers for scale-out deployments. The Tesla GPUs have a capacity of up to 6 GB of GDDR5 memory with ECC, and peak performance of 655 double-precision Gflops or over 1.3 single-precision Tflop. The Tesla M2070Q combines Tesla’s high performance computation with the NVIDIA Quadro® professional-class visualization in the same GPU. The HP GPU Ecosystem includes the CUDA programming interface and third-party CUDA development tools, as well as HP-supported GPU-aware cluster software such as the HP Cluster Management Utility (CMU). CMU will monitor and display GPU health such as temperature and will also install and provision the GPU drivers and the CUDA software. In addition, HP HPC Linux Value Pack includes a GPU-enhanced version of Platform LSF, with the capability of scheduling jobs based on GPU requirements.
- May dramatically reduce computational time for parallel applications. Reduces time to solution, thus enabling businesses to solve problems previously limited by CPU speed

Processor

CUDA

Y

CUDA cores

512

Graphics processor family

NVIDIA

Graphics processor

Tesla M2075

Parallel processing technology support

Not supported

Memory

Discrete graphics card memory

6 GB

Graphics card memory type

GDDR5

Memory bus

384 bit

Ports & interfaces

Interface type

PCI Express x16

Performance

PhysX

N

TV tuner integrated

N

HDCP

N

Dual Link DVI

N

Design

Cooling type

Passive

Power

Power consumption (typical)

200 W

Weight & dimensions

Width

248 mm

Other features

Mac compatibility

N

HDMI

N