Tesla系列擁有更快速的雙精準的浮點運算速度，可以達到將近515 GigaFlops,
Tesla系列擁有更快速的PCI-E通訊，擁有兩個DMA引擎，針對bi-directional 通訊。而GeForce系列僅有一個DMA引擎。Tesla系列擁有更大的記憶體，高達3GB&6GB的選擇，針對HPC的應用程式可以發揮更大的功效。GeForce系列最大的記憶體為1.5GB 相關優勢如下表比較
|
Advantages
|
Tesla
|
GeForce
|
|
Faster Double Precision Performance
|
515
GigaFlops
|
Much lower at 1/8th
single precision
|
|
Faster PCI-E Communication
|
Two
DMA
engines for bi-directional communication
|
Only
one DMA engine available
|
|
Larger Memory Size
|
3GB
& 6GB available for HPC apps
|
Largest
memory
is 1.5GB
|
|
Optimized for InfiniBand
|
NVIDIA
GPUDirect for
accelerated communication
|
Extra
memory copies and context switching
|
|
Performance Drivers
|
TCC
driver on Windows reduces CUDA kernel overhead
|
Kernel
launch
overhead reduces GPU performance
|
|
Advantages
|
Tesla
|
GeForce
|
|
ECC Protection
|
All
internal
and external memories protected
|
No memories protected
|
|
Zero Error Stress Tested
|
Stress
tested for several days with zero tolerance for error
|
Tested
only for graphics apps
|
|
Manufactured by NVIDIA
|
Guaranteed
by NVIDIA to be of highest quality
|
Manufactured
by 3rd
party board makers
|
|
Enterprise Level Support
|
Three
year warranty and prioritized support for bugs and feature requests
|
Consumer
level support
|
|
ISV Certification
|
HPC
software vendors certify only on Tesla
|
Functionality/performance
risk with software
|
|
Advantages
|
Tesla
|
GeForce
|
|
Integrated Systems
|
Innovative
servers
and workstations
|
System design and support not on
consumer products
|
|
18-24 Month Availability
|
Longer
life cycle for investment protection
|
Supply
depends on consumer demand
|
|
Cluster management and GPU monitoring
|
Access
GPUs in clusters for temperature, power, and usage
|
No
support for datacenter features
|
|
HPC Expertise
|
Total
solution expertise provided by CUDA/OpenCL engineers and technical
staff
|
No
HPC expertise or support
|
| 
