NVIDIA Tesla M2050
NVIDIA graphics card specifications and benchmark scores
At a Glance
NVIDIANVIDIA Tesla M2050 Specifications
GPU Core
Shader units and compute resources
The NVIDIA Tesla M2050 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.
Tesla M2050 Clock Speeds
GPU and memory frequencies
Clock speeds directly impact the Tesla M2050'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 M2050 by NVIDIA dynamically adjusts frequencies based on workload, temperature, and power limits to maximize performance while maintaining stability.
NVIDIA's Tesla M2050 Memory
VRAM capacity and bandwidth
VRAM (Video RAM) is dedicated memory for storing textures, frame buffers, and shader data. The Tesla M2050'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.
Tesla M2050 by NVIDIA Cache
On-chip cache hierarchy
On-chip cache provides ultra-fast data access for the Tesla M2050, 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.
Tesla M2050 Theoretical Performance
Compute and fill rates
Theoretical performance metrics provide a baseline for comparing the NVIDIA Tesla M2050 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.
Fermi Architecture & Process
Manufacturing and design details
The NVIDIA Tesla M2050 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 M2050 will perform in GPU benchmarks compared to previous generations.
Power & Thermal
TDP and power requirements
Power specifications for the NVIDIA Tesla M2050 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 M2050 to maintain boost clocks without throttling.
Tesla M2050 by NVIDIA Physical & Connectivity
Dimensions and outputs
Physical dimensions of the NVIDIA Tesla M2050 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.
NVIDIA API Support
Graphics and compute APIs
API support determines which games and applications can fully utilize the NVIDIA Tesla M2050. 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.
Tesla M2050 Product Information
Release and pricing details
The NVIDIA Tesla M2050 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 M2050 by NVIDIA represents good value at current market prices. Predecessor and successor information aids in tracking generational improvements and planning future upgrades.
About NVIDIA Tesla M2050
Memory Subsystem
The NVIDIA Tesla M2050 is equipped with 3 GB of GDDR5 memory across a 384-bit bus, yielding a bandwidth of 148.4 GB/s. This configuration is substantial for a compute-focused Fermi-era card, but it is not designed for gaming framebuffer workloads. The 384-bit interface is wide enough to feed the GPU’s 448 shading units without severe bottlenecks, though the effective memory clock of 3.1 Gbps is modest by modern standards.
For high-resolution rendering, the M2050’s memory capacity is workable for 1080p and 1440p textures, but the bandwidth becomes a limiting factor at 4K. The data shows a 148.4 GB/s ceiling, which means scenes with heavy texture streaming or high-resolution shadow maps will cause the GPU to stall. Benchmark results indicate that the M2050 sits at the 50th percentile among all GPUs, which is a mid-pack position — not a card that excels at pushing large frame buffers. The 3 GB capacity is generous for its era, but the lack of display outputs (it has none) means this memory is purely for compute buffers, not visual output.
In practical terms, the memory subsystem favors workloads with predictable access patterns, such as scientific simulations or data-parallel tasks, rather than the random-access demands of modern game engines. The 384-bit bus provides a solid foundation, but the 148.4 GB/s throughput is roughly half of what contemporary mid-range cards offer, so expect memory-bound operations to dominate in any real-world scenario.
Ray Tracing and Feature Set
The M2050 is based on the GF100 chip, a Fermi architecture part, and it has no dedicated ray tracing cores or tensor cores. This is a pure compute and rasterization GPU from 2011. The API support is limited: DirectX 12 (11_0) and OpenGL 4.6 are present, but Vulkan is absent. The DirectX 12 support is feature level 11_0, which means it cannot use hardware features like bindless resources or conservative rasterization that require higher feature levels.
For ray tracing, the M2050 has no hardware acceleration. Any ray-traced effect would rely on compute shaders, and with 1,030.4 GFLOPS of FP32 performance, the GPU is far too slow for real-time ray tracing. The absence of tensor cores also rules out any AI-accelerated denoising or DLSS-style features. The feature set is strictly rasterization and compute — a capable air cooler is irrelevant here because the card has no display outputs and no gaming-oriented features.
The pixel rate of 16.07 GPixel/s and texture rate of 32.14 GTexel/s are adequate for basic 2D compute blits, but they are not competitive for graphics rendering. The API list is the critical takeaway: if a workload requires Vulkan or modern DirectX 12 features, the M2050 will fail to launch or run with severe limitations. Benchmark results indicate a mid-pack percentile, but that percentile is skewed by compute tasks, not gaming.
Who Should Consider It
The M2050 is a compute accelerator, not a gaming card. It has no display outputs, so it cannot drive a monitor. The target user is someone running CUDA-based workloads that fit within 3 GB of VRAM and tolerate the Fermi architecture’s limitations. The 50th percentile ranking means it sits exactly in the middle of all GPUs — neither a top-tier compute monster nor a complete slouch.
For resolution-specific guidance: at 1080p, the M2050 can handle basic compute tasks like image processing or small neural networks, but its 1,030.4 GFLOPS FP32 throughput will result in long wait times for anything complex. At 1440p or 4K, the memory bandwidth becomes the choke point — 148.4 GB/s is insufficient for high-resolution texture processing or large matrix operations. The 3 GB VRAM is the saving grace; it fits more data than 2 GB cards from the same era, but the bus width and clock speed limit effective throughput.
The data suggests this card is for legacy CUDA development or educational purposes. If you need a PCIe 2.0 x16 accelerator for testing code that targets Fermi compute capability 2.0, the M2050 is a valid choice. For any modern workload — whether gaming, rendering, or AI — the lack of tensor cores, ray tracing support, and Vulkan compatibility makes it an obsolete pick. The 225 W TDP and dual-slot cooler are manageable, but the card offers no practical benefit outside specific compute niches.
FAQ
Q: Can the NVIDIA Tesla M2050 be used for gaming?
A: No. The card has no display outputs, so it cannot connect to a monitor. Its architecture (Fermi) and API support (DirectX 12 feature level 11_0, no Vulkan) also lack modern gaming features.
Q: What is the memory size and bandwidth of the M2050?
A: It has 3 GB of GDDR5 memory on a 384-bit bus, with a bandwidth of 148.4 GB/s.
Q: Does the M2050 support ray tracing?
A: No. It has no ray tracing cores or tensor cores, and its FP32 throughput of 1,030.4 GFLOPS is far too low for compute-based ray tracing in real time.
Q: What power supply is recommended for this card?
A: The suggested PSU is 550 W, and the card requires one 6-pin and one 8-pin power connector. The TDP is 225 W.
Q: What APIs are supported?
A: DirectX 12 (feature level 11_0) and OpenGL 4.6 are supported. Vulkan is not available.
Q: Is the M2050 still in production?
A: No. The production status is end-of-life, and it was released in July 2011.
How It Compares
The M2050 has no nearest rivals listed in the benchmark data. This means there are no direct comparison points from the same performance tier. Given its 50th percentile ranking, it sits between older compute accelerators and newer cards, but without specific rival scores, the comparison must be qualitative.
Relative to its predecessor (Tesla), the M2050 offers the Fermi architecture with 448 shading units and 3 GB of VRAM. The successor (Tesla Kepler) is a different architecture entirely, and benchmark results would likely show a significant shift in performance, but no deltaPct values are available.
The lack of rival data is itself informative: the M2050 occupies a niche where direct comparisons are not tracked, likely because its compute-only design and end-of-life status place it outside typical benchmark databases. The 50th percentile rank suggests it is not a bottom-tier card, but also not a standout in any metric. The closest real-world comparison would be to other Fermi-era compute cards, but the fact pack provides no such data.
Given the absence of nearestRivals, the practical advice is to treat the M2050 as a standalone compute tool. Its performance is what it is — mid-pack — and users should not expect it to compete with any modern GPU, whether for gaming or compute. The 148.4 GB/s bandwidth and 1,030.4 GFLOPS FP32 are the numbers to remember, and they are neither impressive nor embarrassing for a 2011 card.
Power and Cooling
The M2050 has a TDP of 225 W, which is substantial for a dual-slot card of its era. The suggested PSU is 550 W, which provides adequate headroom for the card and a typical system. Power is delivered via one 6-pin and one 8-pin connector, so ensure your power supply has both available.
The card is dual-slot, meaning it will occupy two expansion slots in your chassis. Its length is 248 mm, or 9.8 inches, which fits most mid-tower cases but may be tight in smaller form factors. The cooler is a standard dual-slot design — adequate for the 225 W TDP, but not exceptional. The card has no display outputs, so the cooling solution is entirely focused on the GPU die and memory.
The 40 nm process node from TSMC means the GF100 chip runs hot, but the 3,100 million transistors are spread across a 529 mm² die, which helps with heat dissipation. The transistor density of 5.9M per mm² is low by modern standards, which is typical for a 2011 part. The power connectors and PSU recommendation are the hard limits — a 550 W PSU is a minimum, and users with lower-wattage supplies should upgrade. The end-of-life status means replacement parts may be hard to find, so handle the card with care.
The memory clock of 773 MHz (3.1 Gbps effective) does not significantly impact power draw, but the 225 W TDP is the number to respect. This is not a card for a small form factor build or a system with a weak PSU. The 550 W suggestion is a solid baseline — a quality 550 W unit with dual PCIe power connectors will run this card without issues.
Detailed benchmark scores and charts for the NVIDIA Tesla M2050 are below.
Benchmark Scores
No benchmark data available for this GPU.
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