GEFORCE

NVIDIA Tesla M2070

NVIDIA graphics card specifications and benchmark scores

6 GB
VRAM
โ€”
MHz Boost
225W
TDP
384
Bus Width

NVIDIA Tesla M2070 Specifications

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Tesla M2070 GPU Core

Shader units and compute resources

The NVIDIA Tesla M2070 GPU core specifications define its raw processing power for graphics and compute workloads. Shading units (also called CUDA cores, stream processors, or execution units depending on manufacturer) handle the parallel calculations required for rendering. TMUs (Texture Mapping Units) process texture data, while ROPs (Render Output Units) handle final pixel output. Higher shader counts generally translate to better GPU benchmark performance, especially in demanding games and 3D applications.

Shading Units
448
Shaders
448
TMUs
56
ROPs
48
SM Count
14
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Tesla M2070 Clock Speeds

GPU and memory frequencies

Clock speeds directly impact the Tesla M2070's performance in GPU benchmarks and real-world gaming. The base clock represents the minimum guaranteed frequency, while the boost clock indicates peak performance under optimal thermal conditions. Memory clock speed affects texture loading and frame buffer operations. The Tesla M2070 by NVIDIA dynamically adjusts frequencies based on workload, temperature, and power limits to maximize performance while maintaining stability.

GPU Clock
574 MHz
Memory Clock
783 MHz 3.1 Gbps effective
Shader Clock
1150 MHz
GDDR GDDR 6X 6X

NVIDIA's Tesla M2070 Memory

VRAM capacity and bandwidth

VRAM (Video RAM) is dedicated memory for storing textures, frame buffers, and shader data. The Tesla M2070's memory capacity determines how well it handles high-resolution textures and multiple displays. Memory bandwidth, measured in GB/s, affects how quickly data moves between the GPU and VRAM. Higher bandwidth improves performance in memory-intensive scenarios like 4K gaming. The memory bus width and type (GDDR6, GDDR6X, HBM) significantly influence overall GPU benchmark scores.

Memory Size
6 GB
VRAM
6,144 MB
Memory Type
GDDR5
VRAM Type
GDDR5
Memory Bus
384 bit
Bus Width
384-bit
Bandwidth
150.3 GB/s
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Tesla M2070 by NVIDIA Cache

On-chip cache hierarchy

On-chip cache provides ultra-fast data access for the Tesla M2070, reducing the need to fetch data from slower VRAM. L1 and L2 caches store frequently accessed data close to the compute units. AMD's Infinity Cache (L3) dramatically increases effective bandwidth, improving GPU benchmark performance without requiring wider memory buses. Larger cache sizes help maintain high frame rates in memory-bound scenarios and reduce power consumption by minimizing VRAM accesses.

L1 Cache
64 KB (per SM)
L2 Cache
768 KB
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Tesla M2070 Theoretical Performance

Compute and fill rates

Theoretical performance metrics provide a baseline for comparing the NVIDIA Tesla M2070 against other graphics cards. FP32 (single-precision) performance, measured in TFLOPS, indicates compute capability for gaming and general GPU workloads. FP64 (double-precision) matters for scientific computing. Pixel and texture fill rates determine how quickly the GPU can render complex scenes. While real-world GPU benchmark results depend on many factors, these specifications help predict relative performance levels.

FP32 (Float)
1,030.4 GFLOPS
FP64 (Double)
515.2 GFLOPS (1:2)
Pixel Rate
16.07 GPixel/s
Texture Rate
32.14 GTexel/s
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Fermi Architecture & Process

Manufacturing and design details

The NVIDIA Tesla M2070 is built on NVIDIA's Fermi architecture, which defines how the GPU processes graphics and compute workloads. The manufacturing process node affects power efficiency, thermal characteristics, and maximum clock speeds. Smaller process nodes pack more transistors into the same die area, enabling higher performance per watt. Understanding the architecture helps predict how the Tesla M2070 will perform in GPU benchmarks compared to previous generations.

Architecture
Fermi
GPU Name
GF100
Process Node
40 nm
Foundry
TSMC
Transistors
3,100 million
Die Size
529 mmยฒ
Density
5.9M / mmยฒ
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NVIDIA's Tesla M2070 Power & Thermal

TDP and power requirements

Power specifications for the NVIDIA Tesla M2070 determine PSU requirements and thermal management needs. TDP (Thermal Design Power) indicates the heat output under typical loads, guiding cooler selection. Power connector requirements ensure adequate power delivery for stable operation during demanding GPU benchmarks. The suggested PSU wattage accounts for the entire system, not just the graphics card. Efficient power delivery enables the Tesla M2070 to maintain boost clocks without throttling.

TDP
225 W
TDP
225W
Power Connectors
1x 6-pin + 1x 8-pin
Suggested PSU
550 W
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Tesla M2070 by NVIDIA Physical & Connectivity

Dimensions and outputs

Physical dimensions of the NVIDIA Tesla M2070 are critical for case compatibility. Card length, height, and slot width determine whether it fits in your chassis. The PCIe interface version affects bandwidth for communication with the CPU. Display outputs define monitor connectivity options, with modern cards supporting multiple high-resolution displays simultaneously. Verify these specifications against your case and motherboard before purchasing to ensure a proper fit.

Slot Width
Dual-slot
Length
248 mm 9.8 inches
Bus Interface
PCIe 2.0 x16
Display Outputs
No outputs
Display Outputs
No outputs
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NVIDIA API Support

Graphics and compute APIs

API support determines which games and applications can fully utilize the NVIDIA Tesla M2070. DirectX 12 Ultimate enables advanced features like ray tracing and variable rate shading. Vulkan provides cross-platform graphics capabilities with low-level hardware access. OpenGL remains important for professional applications and older games. CUDA (NVIDIA) and OpenCL enable GPU compute for video editing, 3D rendering, and scientific applications. Higher API versions unlock newer graphical features in GPU benchmarks and games.

DirectX
12 (11_0)
DirectX
12 (11_0)
OpenGL
4.6
OpenGL
4.6
OpenCL
1.1
CUDA
2.0
Shader Model
5.1
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Tesla M2070 Product Information

Release and pricing details

The NVIDIA Tesla M2070 is manufactured by NVIDIA as part of their graphics card lineup. Release date and launch pricing provide context for comparing GPU benchmark results with competing products from the same era. Understanding the product lifecycle helps evaluate whether the Tesla M2070 by NVIDIA represents good value at current market prices. Predecessor and successor information aids in tracking generational improvements and planning future upgrades.

Manufacturer
NVIDIA
Release Date
Jul 2011
Launch Price
3,099 USD
Production
End-of-life
Predecessor
Tesla
Successor
Tesla Kepler

Tesla M2070 Benchmark Scores

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No benchmark data available for this GPU.

About NVIDIA Tesla M2070

The NVIDIA Tesla M2070 is designed to excel in demanding professional workloads, particularly those that require high computational power and memory bandwidth. Built on the Fermi architecture with a 40 nm process, this card delivers robust performance for scientific computing, engineering simulations, and large-scale data analysis. Its 6 GB of GDDR5 memory ensures ample space for complex datasets, reducing bottlenecks during intensive processing tasks. The card's PCIe 2.0 x16 interface facilitates high-speed data transfer between the GPU and the host system, making it suitable for enterprise environments. Although more recent hardware has surpassed its capabilities, the Tesla M2070 remains a reliable option for legacy applications and specialized workflows that depend on CUDA acceleration. In terms of video editing performance, the NVIDIA Tesla M2070 offers moderate acceleration primarily through its CUDA cores, which can accelerate certain rendering and encoding processes. However, as a professional-grade GPU primarily targeted at scientific and engineering tasks, it lacks the dedicated hardware features optimized for consumer video editing workloads found in high-end GeForce GPUs. Users may experience decent support for video processing tasks if their software leverages CUDA, but overall, it doesn't match the dedicated multimedia capabilities of modern gaming-oriented graphics cards. Stability and driver support are generally solid, thanks to NVIDIAโ€™s focus on professional graphics solutions, but these drivers are optimized mainly for compute workloads rather than multimedia enhancements. The card's architecture ensures stable long-term operation in stable computing environments, though it may not support the latest driver features introduced in newer NVIDIA products. Support for multi-GPU configurations is a notable feature of the Tesla M2070, making it suitable for high-performance computing clusters and parallel processing workflows. The cardโ€™s architecture allows multiple units to work together for applications that can scale across multiple GPUs, providing significant improvements in throughput for compatible software packages. This setup is particularly advantageous for scientific simulations, large-scale rendering tasks, and data modeling that benefits from distributed processing. However, for general productivity or video editing, multi-GPU configurations with Tesla cards are less common, as scaling benefits are often negligible outside specific enterprise or research environments. Compatibility considerations and power consumption also play a role, with the TDP of 225W requiring robust cooling solutions to maintain optimal operational stability in multi-GPU setups. Overall, the NVIDIA Tesla M2070 remains a potent choice for specialized professional workloads, especially in environments where legacy hardware compatibility and CUDA-based acceleration are priorities. Its robust memory capacity and high computational throughput set it apart in scientific and engineering applications. While it is not tailored for modern video editing or gaming, its driver support and stability profile make it a dependable component in mission-critical computing infrastructure. For organizations leveraging high-performance computing, the Tesla M2070 offers a balanced mix of reliability, compute power, and multi-GPU scalability, albeit with the understanding that newer hardware options may offer enhanced features and efficiency in less specialized contexts.

The AMD Equivalent of Tesla M2070

Looking for a similar graphics card from AMD? The AMD Radeon RX 480 offers comparable performance and features in the AMD lineup.

AMD Radeon RX 480

AMD โ€ข 8 GB VRAM

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