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DELL · MPN 490-BBSR · DELL Nvidia Tesla K40M Tesla K40 12 GB GDDR5
DELL Nvidia Tesla K40M Tesla K40 12 GB GDDR5
AI chip: NVIDIA Tesla K40 12 GB · models that fit
- Graphics Processor
- Tesla K40
- Graphics Processor Family
- NVIDIA
- Discrete Graphics Card Memory
- 12 GB
- Graphics Card Memory Type
- GDDR5
- Interface Type
- PCI Express x16 3.0
- Cooling Type
- Active
- Cuda Cores
- 2880
Specifications
Design
| Cooling Type | Active |
|---|---|
| Number Of Slots | 2 |
Memory
| Discrete Graphics Card Memory | 12 GB |
|---|---|
| Graphics Card Memory Type | GDDR5 |
| Memory Bandwidth (Max) | 288 GB/s |
| Memory Bus | 384 bit |
| Memory Clock Speed | 3000 MHz |
Performance
| Tv Tuner Integrated | No |
|---|
Ports & interfaces
| Interface Type | PCI Express x16 3.0 |
|---|
Power
| Power Consumption (Typical) | 235 W |
|---|---|
| Supplementary Power Connectors | 1x 6-pin, 1x 8-pin |
Processor
| Cuda | Yes |
|---|---|
| Cuda Cores | 2880 |
| Firestream | No |
| Graphics Processor | Tesla K40 |
| Graphics Processor Family | NVIDIA |
| Parallel Processing Technology Support | Not supported |
| Peak Floating Point Performance (Double Precision) | 1430 Gflops |
| Peak Floating Point Performance (Single Precision) | 4290 Gflops |
| Processor Boost Clock Speed | 875 MHz |
| Processor Frequency | 745 MHz |
Sustainability
| Sustainability Certificates | ENERGY STAR |
|---|
System requirements
| Windows Operating Systems Supported | Windows 7 Home Basic x64, Windows 7 Home Premium x64, Windows 7 Professional x64, Windows 7 Starter x64, Windows 7 Ultimate x64, Windows Vista Business x64, Windows Vista Enterprise, Windows Vista Enterprise x64, Windows Vista Home Basic |
|---|
Weight & dimensions
| Height | 111 mm |
|---|---|
| Length | 267 mm |
Other Tesla K40 graphics cards
Sources
Product identity, images and specifications: Icecat. Amazon ASIN and offer (when shown): Amazon Creators API match NO_MATCH · ASIN B00OJWHSUU. Google Shopping is used only as supporting market context and is not required for this page. GPU chip mapping and model fit: RigForAI calculated estimate on the AI GPU page.
