NVIDIA Tesla X2090
NVIDIA graphics card specifications and benchmark scores
At a Glance
NVIDIANVIDIA Tesla X2090 Specifications
Tesla X2090 GPU Core
Shader units and compute resources
The NVIDIA Tesla X2090 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 X2090 Clock Speeds
GPU and memory frequencies
Clock speeds directly impact the Tesla X2090'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 X2090 by NVIDIA dynamically adjusts frequencies based on workload, temperature, and power limits to maximize performance while maintaining stability.
NVIDIA's Tesla X2090 Memory
VRAM capacity and bandwidth
VRAM (Video RAM) is dedicated memory for storing textures, frame buffers, and shader data. The Tesla X2090'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 X2090 by NVIDIA Cache
On-chip cache hierarchy
On-chip cache provides ultra-fast data access for the Tesla X2090, 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 X2090 Theoretical Performance
Compute and fill rates
Theoretical performance metrics provide a baseline for comparing the NVIDIA Tesla X2090 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 2.0 Architecture & Process
Manufacturing and design details
The NVIDIA Tesla X2090 is built on NVIDIA's Fermi 2.0 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 X2090 will perform in GPU benchmarks compared to previous generations.
NVIDIA's Tesla X2090 Power & Thermal
TDP and power requirements
Power specifications for the NVIDIA Tesla X2090 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 X2090 to maintain boost clocks without throttling.
Tesla X2090 by NVIDIA Physical & Connectivity
Dimensions and outputs
Physical dimensions of the NVIDIA Tesla X2090 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 X2090. 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 X2090 Product Information
Release and pricing details
The NVIDIA Tesla X2090 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 X2090 by NVIDIA represents good value at current market prices. Predecessor and successor information aids in tracking generational improvements and planning future upgrades.
Tesla X2090 Benchmark Scores
No benchmark data available for this GPU.
About NVIDIA Tesla X2090
Benchmark Performance
The NVIDIA Tesla X2090 presents a unique performance profile in the database. With an average benchmark score of zero and a percentile ranking of 50 against all GPUs, the data indicates that this is a compute-oriented accelerator rather than a typical gaming graphics card. The absence of recorded benchmark entries in the database means that direct synthetic gaming comparisons are unavailable; however, the raw computational specifications provide a clear picture of its intended workload.
The FP32 performance of 1,332.2 GFLOPS positions this card as a capable compute device for its era, particularly when considering the 512 shading units operating within the Fermi 2.0 architecture. The texture rate of 41.66 GTexel/s and pixel rate of 20.83 GPixel/s, derived from the 64 texture mapping units and 48 raster output units, suggest balanced throughput for professional visualization tasks. The 50th percentile standing across all GPUs indicates that this card sits exactly at the median of the entire GPU landscape, which is a meaningful positioning given that the database includes both consumer and professional parts from multiple generations.
The lack of nearest rival data in the fact pack prevents direct percentage comparisons, but the raw numbers tell a coherent story. The shading unit count of 512 combined with the 3,000 million transistors on a 520 mm² die, fabricated on a 40 nm process at TSMC, yields a transistor density of 5.8M per square millimeter. This density figure, while modest by modern standards, was appropriate for the 2011 release timeframe. The clock behavior deserves attention: the memory runs at 924 MHz with 3.7 Gbps effective data rate, while no base or boost clock figures are recorded, suggesting that the core clock was either fixed or not publicly documented for this accelerator variant.
The compute-to-memory balance is worth examining. With 1,332.2 GFLOPS of FP32 throughput and 177.4 GB/s of memory bandwidth, the ratio indicates that this card was designed for workloads where compute density matters more than memory streaming. This is consistent with the Tesla product line's focus on scientific computing and data center acceleration rather than real-time graphics rendering. The performance data does not include any gaming benchmarks, which further reinforces the compute-first design philosophy.
Memory Subsystem
The Tesla X2090 ships with 6 GB of GDDR5 memory across a 384-bit bus interface, producing a total bandwidth of 177.4 GB/s. This memory configuration is substantial for the product's generation, and the 384-bit bus width ensures that the bandwidth figure is achieved through a wide parallel path rather than extremely high clock speeds. The effective memory speed of 3.7 Gbps is achieved through the 924 MHz base memory clock, which is a standard GDDR5 signaling rate for that era.
For high-resolution workloads, the memory subsystem's characteristics are more nuanced. The 6 GB capacity is ample for large datasets in compute applications, and the 384-bit bus provides sufficient bandwidth for double-precision compute tasks that often require sustained memory throughput. However, the 177.4 GB/s bandwidth is modest compared to later accelerator generations, which means that memory-bound workloads would see diminishing returns at extremely high resolutions or with very large working sets. The pixel rate of 20.83 GPixel/s and texture rate of 41.66 GTexel/s are consistent with the memory bandwidth available, indicating that the memory subsystem is well-matched to the compute units.
The absence of display outputs on this card is a critical architectural detail. With no display outputs, the memory subsystem is exclusively dedicated to compute operations, never having to share bandwidth with display refresh or frame buffer operations. This dedicated memory access pattern is beneficial for throughput-oriented tasks, as the full 177.4 GB/s is available for computation without competition from display scanning logic. The PCIe 2.0 x16 bus interface provides the host connection, and the 225 W TDP with a suggested 550 W power supply indicates that the card draws significant power for its compute density.
Ray Tracing and Feature Set
The Tesla X2090 does not include dedicated ray tracing or tensor cores, as these specialized hardware units were not part of the Fermi 2.0 architecture. The absence of RT cores and tensor cores means that real-time ray tracing acceleration and AI tensor operations are not available in hardware. Instead, the card relies on its 512 shading units for all compute work, which includes any ray tracing algorithms executed in software.
The API support is limited to DirectX 12 (11_0 feature level) and OpenGL 4.6, with no Vulkan support recorded. This API profile is important for understanding the card's software compatibility. The DirectX 12 (11_0) support indicates that the hardware supports DirectX 11-level features, but not the full DirectX 12 feature set. This is consistent with the Fermi architecture's design, which predates the full DirectX 12 specification. OpenGL 4.6 support provides a modern graphics API path, though the card's primary use case remains compute.
The lack of display outputs reinforces the compute-only positioning. With no outputs, the card cannot drive a monitor directly, and all rendering must be done for off-screen compute targets. The PCIe 2.0 x16 interface provides a reasonable data transfer path for moving data between the host system and the card's 6 GB GDDR5 memory. For workloads that require ray tracing or tensor operations, the data shows that this card would need to perform those calculations on the general-purpose shading units, which would be significantly slower than dedicated hardware.
Who Should Consider It
The benchmark and specification data paint a clear picture of the target user for the Tesla X2090. This card is designed for compute workloads that benefit from substantial FP32 throughput and large memory capacity, rather than real-time graphics rendering. The 1,332.2 GFLOPS FP32 performance and 6 GB memory capacity make it suitable for scientific simulations, data analysis, and professional compute tasks that were common in the early 2010s.
For resolution and settings recommendations, the data must be interpreted carefully. The 50th percentile ranking across all GPUs suggests that this card is not competitive for modern high-resolution gaming, even if it were equipped with display outputs. The absence of gaming benchmarks further complicates any gaming recommendation. However, for compute workloads at any resolution, the card's memory subsystem and compute units are fully utilized regardless of display resolution, since there is no display output to drive.
Users who work with double-precision compute tasks, large matrix operations, or scientific visualization that can leverage OpenCL or CUDA-style compute would find the Tesla X2090's specifications adequate for their needs. The 512 shading units provide substantial parallel compute capacity, and the 6 GB memory allows for moderately large datasets. The 225 W TDP with a suggested 550 W power supply indicates that this card requires a reasonably robust power delivery system, though the MXM Module slot width suggests a compact form factor suitable for servers or workstations with MXM slots.
How It Compares
The fact pack does not include nearest rival data for the Tesla X2090, which means a direct comparison against specific competing GPUs cannot be made from the available information. The percentile rank of 50 against all GPUs provides a general positioning, but without rival names, scores, or delta percentages, a detailed competitive analysis is not possible from the data provided.
The predecessor and successor information offers some context. The Tesla X2090's predecessor is listed as Tesla, and its successor is Tesla Kepler. This generational progression indicates that the X2090 sits within the Tesla product line's Fermi generation, which is consistent with the Fermi 2.0 architecture designation. The transition to Tesla Kepler would bring architectural improvements, but specific comparative data is not available in the fact pack.
The production status is end-of-life, with a release date of July 24, 2011. This places the card in a historical context where its performance characteristics are best understood relative to other Fermi-generation products. Without explicit rival data, the analysis must rely on the absolute specifications and the overall percentile ranking to contextualize performance.
FAQ
Q: What is the FP32 compute performance of the Tesla X2090?
A: The Tesla X2090 delivers 1,332.2 GFLOPS of FP32 compute performance, derived from its 512 shading units operating within the Fermi 2.0 architecture.
Q: How much memory does the Tesla X2090 have, and what is its bandwidth?
A: The card features 6 GB of GDDR5 memory on a 384-bit bus, providing 177.4 GB/s of memory bandwidth at an effective speed of 3.7 Gbps.
Q: Does the Tesla X2090 support real-time ray tracing?
A: No, the Tesla X2090 does not include dedicated ray tracing cores or tensor cores. Any ray tracing would need to be performed on the general-purpose shading units.
Q: What is the power consumption of the Tesla X2090?
A: The Tesla X2090 has a TDP of 225 W, and the suggested power supply rating is 550 W. It uses an MXM Module slot width and does not require external power connectors.
Q: What are the display output capabilities of the Tesla X2090?
A: The Tesla X2090 has no display outputs, making it a compute-only accelerator that cannot drive a monitor directly.
Q: What API support does the Tesla X2090 offer?
A: The card supports DirectX 12 (with an 11_0 feature level) and OpenGL 4.6. It does not have Vulkan support.
Q: What is the transistor count and die size of the Tesla X2090?
A: The GF110 chip contains 3,000 million transistors on a 520 mm² die, fabricated on a 40 nm process at TSMC, yielding a transistor density of 5.8M per square millimeter.
The AMD Equivalent of Tesla X2090
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