What are the differences with a desktop GPU?
HPC and Deep learning breakthroughs have sparked the artificial intelligence revolution. The scientific community is racing towards exascale computing. In both, the computational engine is the GPU. The NVIDIA GPU is the most pervasive high-performance computing (HPC) processor ever built. Whether your computing platform of choice is the PC or the cloud, there’s a GPU to accelerate your important work.The NVIDIA TITAN X or GeForce GTX consumer GPU is designed for the PC. The NVIDIA® Tesla® data center GPU is engineered for predictable behavior and uptime requirements of data centers.
| TESLA GPU: BUILT FOR THE SERVER
Data centers are designed to optimize for throughput. Technologies ensuring 24/7 uptime, scalability, and manageability are just as important as raw performance for optimizing and reliably delivering data center throughput. The Tesla GPU powers some of the world’s largest data centers. It’s purpose-built for a server, and extensively qualified for the mechanical, physical, management, reliability, and availability needs of rack-scale deployments. The Tesla GPU features a longer warranty, enterprise support, and extended SKU life expected |
TITAN X/GeForce GTX: BUILT FOR THE PC
Every developer should have access to the world’s most powerful computing platform. Powered by the new Pascal™ architecture, NVIDIA TITAN X / GeForce GTX is enabled to harness the power of GPU computing in a PC. A PC is very different than a server. Density, airflow, inlet temperature, uptime, and manageability are just a few design points to consider when building a GPU. A consumer GPU is engineered and tested for a PC design point. |
| BENEFIT | TESLA GPU | CONSUMER GPU | |
| 24/7 Uptime | Guaranteed quality in a server | Server-Grade Engineering
– Lower operating voltage for longer reliability – Zero-error testing at aggressive clocks – Error Correction Code (ECC) for data integrity |
PC-Grade Engineering |
| Reduced thermal stress for uncompromised reliability | Forced Air Cooling Design
– Designed for maximum airflow in a server – Lower GPU temperature for reliability – Lower power consumption |
Active Fan Design
– Fan works against server airflow – GPU runs up to 30-40% hotter, increasing failure rate – Higher power consumption |
|
| Higher data center availability and serviceability | Dynamic Page Retirement
– Monitors and removes bad memory with simple reboot |
N/A: Need to physically remove GPU
with bad memory |
|
| Scalable Performance | Application performance across nodes | GPU Direct RDMA
– Direct transfers between GPUs – 67% lower latency – 5X higher GPU-to-GPU MPI bandwidth |
N/A |
| Strong scaling performance in a node | NVIDIA NVLink™
– 5X higher GPU-to-GPU bandwidth – Linear strong scaling for lots of GPUs |
N/A | |
| Deploy large models | – Up to 24 GB GDDR5 for Tesla M40
– Up to 16 GB HBM2 for Tesla P100 – Up to 32 GB HBM2 for Tesla V100 |
4 GB to 12 GB | |
| Data Center Ready | Simplified data center operations | Data Center GPU Manager
– Device management – System diagnostics – Cluster management – Integrated into leading HPC management tools |
N/A |
| Extended product availability | – 3-year product lifetime
– 3-year warranty – 10-month end-of-life notice period |
Short SKU lifetime and not sold in volume | |
| Rapid issue resolution and continuity of operations | Enteprise Support
– Long-term support and maintenance – Direct support from tech experts – On-site consultation |
N/A |