Tesla K80 Solutions
SabrePC 2U 2 Tesla
K80 GPU Server
SabrePC 2U 2 Tesla
K80 GPU Server
Tesla K40 Solutions
SabrePC NVIDIA Tesla K40
Development System
SabrePC 16x NVIDIA
Tesla K80 GPU Expansion
SabrePC 4 Tesla K40
GPU Workstation
SabrePC 4U 8 Tesla K40
GPU Rackmount Server
SabrePC 2U 2 Tesla
K40 GPU Server
SabrePC 1U 2 Tesla
K40 GPU Server
NVIDIA Kepler Quadro
Quadro K6000
Quadro K5200
Quadro K4200
Quadro K2200
Quadro K5000
Quadro K5000 for Mac
Quadro K4000
Quadro K2000
NVIDIA GRID GPUs
NVIDIA (VGX) GRID K1
Kepler 16GB GPU
NVIDIA (VGX) GRID K2
Kepler 8GB GPU
CPU/GPU Customized Solutions

NVIDIA TESLA

High Performance Computing - Supercomputing with NVIDIA Tesla GPUs
GPU acceleration is to use a graphics processing unit (GPU) together with a CPU to accelerate computational applications. GPU accelerators can provide unprecedented application performance by offloading compute-intensive portions of the workload to the GPU, while the remainder of the code still runs on the GPU.
NVIDIA Tesla GPU accelerators, based on the NVIDIA Kepler architecture, are designed to offer faster and more efficient compute performance for the most demanding computing applications in fields including: machine learning and data analytics, seismic processing, computational biology, chemistry, weather and climate modeling, signal processing, computational finance, physics, CAE and CFD.

The New NVIDIA Tesla GPU Accelerator- Tesla K80

NVIDIA Tesla GPU accelerators, based on the NVIDIA Kepler architecture, are designed to offer faster and more efficient compute performance for the most demanding computing applications in fields including: machine learning and data analytics, seismic processing, computational biology, chemistry, weather and climate modeling, signal processing, computational finance, physics, CAE and CFD.
The Tesla K80 features:
GPU Boost - Dynamically scales clocks for maximum application performance
Zero-power Idle - Increase data center energy efficiency by powering down idle GPUs
Double shared memory and register file - Increase 2x effective bandwidth and shared memory compared to the Tesla K20X and K10
Multi-GPU Hyper-Q - Efficiently and easily schedule MPI ranks across GPUs

NVIDIA Tesla Server Solutions

Tesla K80 GPU Type Memory Bandwidth Memory Size CUDA Cores  
2 Kepler GK210 480 GB/sec 24 GB GDDR5 4992 NVIDIA Tesla K40
Tesla K40 GPU Type Memory Bandwidth Memory Size CUDA Cores  
NVIDIA Tesla K40 1 Kepler GK110B 288 GB/sec 12 GB GDDR5 2880 NVIDIA Tesla K40
Tesla K20X GPU Type Memory Bandwidth Memory Size CUDA Cores  
NVIDIA Tesla K20 1 Kepler GK110 250 GB/sec 6 GB GDDR5 2688 NVIDIA Tesla K20X
Tesla K20 GPU Type Memory Bandwidth Memory Size CUDA Cores  
NVIDIA Tesla K20 1 Kepler GK110 208 GB/sec 5 GB GDDR5 2496 NVIDIA Tesla K20
Tesla K10 GPU Type Memory Bandwidth Memory Size CUDA Cores  
NVIDIA Tesla K10 2 Kepler GK104s 320 GB/sec 8 GB GDDR5
(4 GB per GPU)
3072
(1536 per GPU)
NVIDIA Tesla K10

NVIDIA Tesla Workstation Solutions

NVIDIA® Tesla® GPU Accelerators turn standard PCs and workstations into personal supercomputers. Powered by CUDA® - the world’s most pervasive parallel-computing model Tesla GPU Accelerators for workstations deliver cluster level performance right at your desk.
GPU Computing Applications: Reservoir simulation, CAE (structural analysis), Molecular dynamics, Numerical analytics, Computational visualization (ray tracing)
Tesla K40 GPU Type Memory Bandwidth Memory Size CUDA Cores  
NVIDIA Tesla K40 1 Kepler GK110B 288 GB/sec 12 GB GDDR5 2880 NVIDIA Tesla K40
Tesla K20 GPU Type Memory Bandwidth Memory Size CUDA Cores  
NVIDIA Tesla K20 1 Kepler GK110 208 GB/sec 5 GB GDDR5 2496 NVIDIA Tesla K20
Tesla C2075 GPU Type Memory Bandwidth Memory Size CUDA Cores  
NVIDIA Tesla C2075 1 Fermi GPU 148 GB/sec 6 GB GDDR5 448 NVIDIA Tesla C2075