New GPU for Tesla Fermi C2070 Tesla Fermi C2050 Tesla Fermi M2090 Tesla Fermi M2075 Tesla C1060 Graphic Card Deep Learning High-performance Computing GPU
Below is a comparison table for the Tesla Fermi C2070, Tesla Fermi C2050, Tesla Fermi M2090, Tesla Fermi M2075, and Tesla C1060 graphics cards. These GPUs are part of NVIDIA’s Tesla series, designed for high-performance computing (HPC) and GPU-accelerated workloads. The Fermi architecture introduced significant improvements in compute performance and features like ECC memory support compared to the older Tesla architecture.
| Feature/Specification | Tesla C2070 | Tesla C2050 | Tesla M2090 | Tesla M2075 | Tesla C1060 |
|---|---|---|---|---|---|
| Architecture | Fermi | Fermi | Fermi | Fermi | Tesla |
| Release Year | 2011 | 2010 | 2011 | 2011 | 2008 |
| CUDA Cores | 448 | 448 | 512 | 448 | 240 |
| FP32 Performance | 1.03 TFLOPS | 1.03 TFLOPS | 1.33 TFLOPS | 1.03 TFLOPS | 0.933 TFLOPS |
| FP64 Performance | 515 GFLOPs | 515 GFLOPs | 665 GFLOPs | 515 GFLOPs | 78 GFLOPs |
| Memory Size | 6 GB GDDR5 | 3 GB GDDR5 | 6 GB GDDR5 | 6 GB GDDR5 | 4 GB GDDR3 |
| Memory Interface | 384-bit | 384-bit | 384-bit | 384-bit | 512-bit |
| Memory Bandwidth | 144 GB/s | 144 GB/s | 177 GB/s | 144 GB/s | 102 GB/s |
| ECC Memory Support | Yes | Yes | Yes | Yes | No |
| TDP (Thermal Design Power) | 238 W | 238 W | 225 W | 225 W | 188 W |
| Form Factor | Full-height, double-width | Full-height, double-width | Full-height, double-width | Full-height, double-width | Full-height, double-width |
| Cooling | Passive | Passive | Passive | Passive | Passive |
| DirectX Support | N/A (Compute-focused) | N/A (Compute-focused) | N/A (Compute-focused) | N/A (Compute-focused) | N/A (Compute-focused) |
| OpenCL Support | Yes | Yes | Yes | Yes | Yes |
| CUDA Support | Yes | Yes | Yes | Yes | Yes |
| Interface | PCIe 2.0 x16 | PCIe 2.0 x16 | PCIe 2.0 x16 | PCIe 2.0 x16 | PCIe 2.0 x16 |
| Use Case | HPC, Scientific Computing | HPC, Scientific Computing | HPC, Data Centers | HPC, Data Centers | Early GPU Computing |
Tesla Fermi C2070
- Architecture: Fermi
- CUDA Cores: 448
- Memory: 6 GB GDDR5 with ECC support
- Memory Interface: 384-bit
- Compute Performance: 1.03 TeraFLOPS (double precision), 2.07 TeraFLOPS (single precision)
- Power Consumption: 238 W
- Cooling: Passive (requires external cooling in server environments)
- Use Case: High-performance computing, scientific simulations, and GPU-accelerated applications.
- Features:
- ECC memory for error correction, ensuring data integrity.
- Optimized for double-precision calculations.
- Designed for data center and workstation environments.
Tesla Fermi C2050
- Architecture: Fermi
- CUDA Cores: 448
- Memory: 3 GB GDDR5 with ECC support
- Memory Interface: 384-bit
- Compute Performance: 515 GigaFLOPS (double precision), 1.03 TeraFLOPS (single precision)
- Power Consumption: 238 W
- Cooling: Passive or active cooling options.
- Use Case: General-purpose GPU computing, scientific research, and data analysis.
- Features:
- ECC memory support for reliable computing.
- Suitable for data centers and workstations.
Tesla Fermi M2090
- Architecture: Fermi
- CUDA Cores: 512
- Memory: 6 GB GDDR5 with ECC support
- Memory Interface: 384-bit
- Compute Performance: 665 GigaFLOPS (double precision), 1.33 TeraFLOPS (single precision)
- Power Consumption: 225 W
- Cooling: Passive (designed for data center environments)
- Use Case: High-performance computing, scientific simulations, and enterprise-level GPU acceleration.
- Features:
- ECC memory for error correction.
- Optimized for data center deployment with passive cooling.
- Higher CUDA core count compared to C2070/C2050.
Tesla Fermi M2075
- Architecture: Fermi
- CUDA Cores: 448
- Memory: 6 GB GDDR5 with ECC support
- Memory Interface: 384-bit
- Compute Performance: 515 GigaFLOPS (double precision), 1.03 TeraFLOPS (single precision)
- Power Consumption: 225 W
- Cooling: Passive (designed for data center environments)
- Use Case: High-performance computing, scientific research, and enterprise workloads.
- Features:
- ECC memory for reliable data processing.
- Designed for data center deployment with passive cooling.
Tesla C1060
- Architecture: Tesla (pre-Fermi)
- CUDA Cores: 240
- Memory: 4 GB GDDR3
- Memory Interface: 512-bit
- Compute Performance: 78 GigaFLOPS (double precision), 933 GigaFLOPS (single precision)
- Power Consumption: 188 W
- Cooling: Passive (requires external cooling)
- Use Case: Early GPU computing, parallel processing, and scientific workloads.
- Features:
- One of the first-generation Tesla GPUs.
- Designed for high-performance computing and GPU acceleration.
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