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NVIDIA
NVIDIA M2090 Tesla graphics card 6 GB GDDR5 1.30 GHz 384-bit PCI Express x16
Tesla M-class GPU with 6 GB GDDR5, 384-bit bus and 1.30 GHz core for CUDA compute workloads
- InterfacePCI Express x16
- Chipset ManufacturerNVIDIA
- GPUM2090
- Core Clock1.30 GHz
- Memory Size6GB
- Memory Interface384-Bit
- 6 GB GDDR5 memory enables large dataset processing
- 384-bit bus width delivers high memory bandwidth
- 30 GHz core clock accelerates compute tasks
- PCI Express x16 interface ensures fast host communication
- CUDA architecture supports parallel HPC workloads
Tesla M-Class GPU for HPC
The NVIDIA Tesla M2090 is a plug-in card built on the CUDA architecture codenamed Fermi. It targets high performance computing workloads such as seismic processing, biochemistry simulations and computational finance. The board delivers 6 GB of GDDR5 memory across a 384-bit interface with a core clock of 1.30 GHz.
PCI Express x16 bandwidth ceiling
The card connects through a PCI Express x16 slot, so sustained throughput is bounded by that generation’s lane budget. Workloads that stream large datasets across the bus will hit the interface ceiling before the GPU compute units saturate. Plan for host-to-device transfer patterns that keep the pipeline full without exceeding the link capacity.
Power and slot clearance checklist
Verify that the system power supply can deliver the auxiliary connectors this Fermi-class board requires. Confirm the chassis has a full-height, double-slot aperture and enough length for a plug-in card of this class. Ensure the motherboard firmware and operating system expose the device for OpenCL and DirectCompute workloads.
주요 특징
- 6 GB GDDR5 memory enables large dataset processing
- 384-bit bus width delivers high memory bandwidth
- 30 GHz core clock accelerates compute tasks
- PCI Express x16 interface ensures fast host communication
- CUDA architecture supports parallel HPC workloads
사양
| Brand | NVIDIA |
|---|---|
| Series | M |
| Interface | PCI Express x16 |
| Chipset Manufacturer | NVIDIA |
| GPU | M2090 |
| Core Clock | 1.30 GHz |
| Memory Size | 6GB |
| Memory Interface | 384-Bit |
| Memory Type | Graphic Card |
| OpenGL | OpenCL |
| Form Factor | Plug-in Card |
이 상품에 대한 질문
Should I choose the 6 GB GDDR5 version of the Tesla M2090 for compute workloads?
The 6 GB GDDR5 frame buffer on the M2090 is sized for large datasets in seismic processing, biochemistry simulations and computational finance where on-board capacity matters.
What does the 1.30 GHz core clock deliver inside a real system?
The 1.30 GHz GPU clock drives the Fermi CUDA cores for double-precision throughput in weather modelling, CAE and CFD tasks that scale with raw compute frequency.
How does the PCI Express x16 384-bit interface affect practical bandwidth?
The 384-bit memory bus paired with GDDR5 feeds the 1.30 GHz core, while the PCI Express x16 host link moves results to the CPU without choking the 6 GB frame buffer.
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