NVIDIA Tesla S2050
NVIDIA graphics card specifications and benchmark scores
At a Glance
NVIDIANVIDIA Tesla S2050 Specifications
GPU Core
Shader units and compute resources
The NVIDIA Tesla S2050 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 S2050 Clock Speeds
GPU and memory frequencies
Clock speeds directly impact the Tesla S2050'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 S2050 by NVIDIA dynamically adjusts frequencies based on workload, temperature, and power limits to maximize performance while maintaining stability.
NVIDIA's Tesla S2050 Memory
VRAM capacity and bandwidth
VRAM (Video RAM) is dedicated memory for storing textures, frame buffers, and shader data. The Tesla S2050'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 S2050 by NVIDIA Cache
On-chip cache hierarchy
On-chip cache provides ultra-fast data access for the Tesla S2050, 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 S2050 Theoretical Performance
Compute and fill rates
Theoretical performance metrics provide a baseline for comparing the NVIDIA Tesla S2050 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 S2050 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 S2050 will perform in GPU benchmarks compared to previous generations.
Power & Thermal
TDP and power requirements
Power specifications for the NVIDIA Tesla S2050 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 S2050 to maintain boost clocks without throttling.
Tesla S2050 by NVIDIA Physical & Connectivity
Dimensions and outputs
Physical dimensions of the NVIDIA Tesla S2050 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 S2050. 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 S2050 Product Information
Release and pricing details
The NVIDIA Tesla S2050 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 S2050 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 S2050
The NVIDIA Tesla S2050 is a dual-slot, compute-oriented accelerator built on the Fermi architecture with the GF100 chip. It was manufactured by TSMC on a 40 nm process, with 3,100 million transistors on a 529 mm² die. The database lists the card as end-of-life and records a release date of 2011-07-24. The card’s percentileVsAllGpus value is 50, while its avgBenchmarkScore is 0; there are no benchmark entries and no nearest rivals in the fact pack. Its display output list is simply “No outputs,” so this is not a part meant to drive a monitor.
Benchmark Performance
The fact pack contains an empty benchmarks array and an empty nearestRivals array. That leaves the percentile and average score as the only database-level performance metrics: percentileVsAllGpus is 50, and avgBenchmarkScore is 0. In practical terms, a 50th percentile places this GPU at the midpoint of the database’s all-GPU distribution, but because the average benchmark score is 0, there is no measured workload result behind that position. The percentile should be read as the archived standing of the product record, not as evidence of a tested performance level.
Without nearestRivals entries, exact percentage deltas against competitor cards cannot be calculated from this data. A statement such as “30% ahead in multi-core” requires a rival entry carrying a score and deltaPct, and the fact pack does not provide one. The available absolute performance figures are the listed throughput rates: FP32 is 1,027.7 GFLOPS, pixel fill is 16.07 GPixel/s, and texture fill is 32.14 GTexel/s. Those are the numbers to use when estimating compute throughput for workload planning.
The silicon configuration is also part of the performance picture: 448 shading units, 56 texture units, and 48 ROPs. These describe a large parallel processor with a fixed-function rasterization block, but with no display outputs, the ROPs are not feeding a display. The API list includes DirectX 12 (11_0) and OpenGL 4.6, while Vulkan is not listed. That API support matters for software compatibility, but the absence of recorded benchmark scores means no game-oriented or compute-oriented frame-rate comparison can be made from this database record.
Power and Cooling
The S2050 is rated with a TDP of 900 W. The database’s suggested PSU rating is 1300 W. That difference leaves power headroom for the rest of the system, but it also means the power supply must be sized for a machine built around a very high-draw card. The power connector field is not listed in the fact pack, so the number and type of physical power inputs cannot be stated here; an integrator must inspect the card or its documentation before selecting cables.
The card is dual-slot, which means it occupies two expansion brackets. Its length, height, and width are not provided, so mechanical fit cannot be confirmed from the database. The connection interface is PCIe 2.0 x16, which is the bus path for data transfer. Since the card has no display outputs, all of its 900 W power draw is directed toward compute and memory operations rather than monitor output. The underlying chip is a 40 nm GF100 with 3,100 million transistors on a 529 mm² die, which is the physical context for such a high power envelope.
Who Should Consider It
Because the S2050 has no display outputs, anyone assembling a desktop workstation that needs a GPU to drive a monitor should not choose this card. It belongs in a system where a separate display adapter is present or where no display output is needed at all. The database provides no game scores, so no resolution- or settings-based gaming recommendation can be derived from benchmark results. The card’s suitability is better judged from its memory and compute profile: 3 GB of GDDR5 on a 384-bit bus delivers 148.4 GB/s of bandwidth, and FP32 throughput is 1,027.7 GFLOPS.
Users working with compute kernels that fit within 3 GB and can use that FP32 rate are the intended audience. At high resolutions, memory capacity becomes the first constraint: 3 GB limits the size of textures, render targets, or data buffers. The 384-bit bus does not expand capacity; it provides a wide path for moving data, producing the 148.4 GB/s bandwidth figure. If a workload requires more than 3 GB of resident data, the S2050 will be limited by capacity before it is limited by raw compute throughput. The lack of measured benchmark scores means no percentage-based guidance can be offered for specific software settings; the practical check is whether the workload can live in 3 GB and operate within the listed throughput rates.
How It Compares
The nearestRivals list is empty in the fact pack. There are no rival names, no rival scores, and no deltaPct values to use for comparison. As a result, no per-rival comparison paragraphs can be constructed from this database record. The only positional metrics are the 50th percentile standing and the average benchmark score of 0, neither of which provides a computed delta against a specific product.
The product hierarchy does supply some context: the predecessor is listed as Tesla, and the successor is listed as Tesla Kepler. The generation label is “Tesla Fermi (x20xx).” The architecture is Fermi, the chip is GF100, the process is 40 nm, and the die is 529 mm² with 3,100 million transistors. Those facts place the S2050 between Tesla and Tesla Kepler in the database lineage, but without nearestRivals entries, a quantitative comparison to either generation is not available.
Memory Subsystem
The S2050 has 3 GB of GDDR5 memory on a 384-bit bus, resulting in 148.4 GB/s of bandwidth. The memory clock is listed as 773 MHz, with 3.1 Gbps effective data rate. The 384-bit interface is a wide path, allowing substantial data movement even though the card has no display scan-out duties.
For high-resolution workloads, the 3 GB capacity is the hard boundary on scene or dataset size. The 148.4 GB/s bandwidth determines how quickly data can be moved across that boundary. These two figures work together: a larger memory size would help capacity-bound tasks, while the bandwidth figure addresses throughput-bound tasks. The 48 ROPs and 16.07 GPixel/s pixel rate are the fill-rate side of the chip, while the 56 TMUs and 32.14 GTexel/s texture rate cover texture processing. None of these change the memory limit; they define what the compute and rasterization blocks can do with the data stored in that 3 GB GDDR5 pool.
FAQ
Q: What chip and architecture does the NVIDIA Tesla S2050 use?
A: It uses the GF100 chip on the Fermi architecture, built by TSMC on a 40 nm process with 3,100 million transistors on a 529 mm² die.
Q: How much memory does the S2050 have, and what is the memory bandwidth?
A: It has 3 GB of GDDR5 on a 384-bit bus, with 148.4 GB/s of bandwidth. The memory clock is 773 MHz, or 3.1 Gbps effective.
Q: What power supply is recommended for this card?
A: The TDP is 900 W, and the suggested PSU rating is 1300 W. The card is dual-slot, and the fact pack does not list its power connector requirements.
Q: Can the S2050 connect to a display?
A: No. The display output field is “No outputs,” so the card cannot drive a monitor directly.
Q: What API support is listed for the S2050?
A: The API list includes DirectX 12 (11_0) and OpenGL 4.6. Vulkan is not listed.
Q: Is the Tesla S2050 still in production?
A: No. The production status is end-of-life, with a release date of 2011-07-24. Its listed successor is Tesla Kepler.
Detailed benchmark scores and charts for the NVIDIA Tesla S2050 are below.
Benchmark Scores
No benchmark data available for this GPU.
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