NVIDIA Tesla S870
NVIDIA graphics card specifications and benchmark scores
At a Glance
NVIDIANVIDIA Tesla S870 Specifications
Tesla S870 GPU Core
Shader units and compute resources
The NVIDIA Tesla S870 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 S870 Clock Speeds
GPU and memory frequencies
Clock speeds directly impact the Tesla S870'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 S870 by NVIDIA dynamically adjusts frequencies based on workload, temperature, and power limits to maximize performance while maintaining stability.
NVIDIA's Tesla S870 Memory
VRAM capacity and bandwidth
VRAM (Video RAM) is dedicated memory for storing textures, frame buffers, and shader data. The Tesla S870'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 S870 by NVIDIA Cache
On-chip cache hierarchy
On-chip cache provides ultra-fast data access for the Tesla S870, 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 S870 Theoretical Performance
Compute and fill rates
Theoretical performance metrics provide a baseline for comparing the NVIDIA Tesla S870 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.
Tesla Architecture & Process
Manufacturing and design details
The NVIDIA Tesla S870 is built on NVIDIA's Tesla 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 S870 will perform in GPU benchmarks compared to previous generations.
NVIDIA's Tesla S870 Power & Thermal
TDP and power requirements
Power specifications for the NVIDIA Tesla S870 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 S870 to maintain boost clocks without throttling.
Tesla S870 by NVIDIA Physical & Connectivity
Dimensions and outputs
Physical dimensions of the NVIDIA Tesla S870 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 S870. 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 S870 Product Information
Release and pricing details
The NVIDIA Tesla S870 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 S870 by NVIDIA represents good value at current market prices. Predecessor and successor information aids in tracking generational improvements and planning future upgrades.
Tesla S870 Benchmark Scores
No benchmark data available for this GPU.
About NVIDIA Tesla S870
The NVIDIA Tesla S870 is an end-of-life accelerator built around the G80 chip. The architecture is Tesla, the process is TSMC’s 90 nm node, and the die contains 681 million transistors on a 484 mm² area, for a transistor density of 1.4M per mm². Its release year is 2007 and its launch MSRP is listed as 11,999 USD. The database record contains no benchmark entries, no nearest-rival entries, and an average benchmark score of 0; the only relative signal is a 50th percentile against all GPUs. The S870 therefore has a specification sheet but no measured performance footprint in the database. The listed capabilities indicate a card with no display outputs, a 1536 MB memory pool, and a high 800 W TDP.
Memory Subsystem
The memory subsystem is defined by 1536 MB of GDDR3 on a 384-bit bus. The memory clock is 800 MHz, with a 1600 Mbps effective data rate, and the resulting bandwidth is 76.80 GB/s. The 384-bit bus is the widest bus specification in the record; that width is what allows the memory system to reach the listed 76.80 GB/s figure at the given effective rate. Capacity is the more visible limit: 1536 MB is a hard boundary for any dataset, working set, or offscreen buffer. For high-resolution workloads, a frame buffer that exceeds that limit cannot be accommodated, and any workload that operates near the limit must rely on the 76.80 GB/s transfer ceiling to keep data moving.
Because the card has no display outputs, it cannot directly drive a high-resolution monitor. Any high-resolution scenario would therefore be an offscreen or non-display workload. In that context, the memory subsystem matters as a storage and transfer pool rather than a display scanout path. The benchmark list contains no entries, so the practical effect of the 76.80 GB/s bandwidth on real workloads cannot be measured from the supplied data. The number represents the theoretical peak transfer rate, not a proven application result.
Ray Tracing and Feature Set
The feature set is rooted in the Tesla architecture generation. The shading core contains 128 shading units, 32 texture mapping units, and 24 ROPs. The listed pixel rate is 14.40 GPixel/s, the texture rate is 38.40 GTexel/s, and FP32 compute is 345.6 GFLOPS. No RT core count and no tensor core count are listed, so the data provides no ray tracing acceleration and no tensor-accelerated processing. The API support list includes DirectX 11.1 (10_0) and OpenGL 3.3, with no Vulkan support listed.
The bus interface is PCIe 1.0 x16. Display outputs are listed as “No outputs,” which means the card is not intended to connect directly to a display. The absence of RT and tensor core data, combined with the API list, defines the feature boundary: the card’s specification sheet stops at DirectX 11.1 (10_0), OpenGL 3.3, and no Vulkan. The FP32 figure of 345.6 GFLOPS is the only compute throughput number in the record, and it is a theoretical peak rather than a measured workload result.
Power and Cooling
The TDP is 800 W. The suggested power supply is 1200 W. The card is dual-slot. Power connector details are not listed, so the physical interface between the power supply and the card cannot be specified from the data. A 1200 W suggested PSU sits above the 800 W TDP, indicating that the system is expected to supply power beyond the card itself, but the exact remaining allocation is not provided. The cooling solution is not described in the record, so the dual-slot width is the only physical cooling-related detail available. Production status is end-of-life, meaning the power and cooling requirements apply to systems that can support legacy hardware.
How It Compares
The nearest-rival field is empty. This is the central constraint on comparison: there are no rival names, no rival scores, and no deltaPct values in the record. The only database-level comparison signal is percentileVsAllGpus: 50. That places the S870 at the midpoint of all GPUs in the database, but no named rival accompanies that percentile. Consequently, no paragraph can state that the card is ahead of or behind a specific competitor because the data does not include a named competitor. The empty nearestRivals list means the S870 cannot be positioned against any specific SKU in this database.
Benchmark Performance
The benchmark list is empty and the average benchmark score is 0. This should be read as missing data, not as a measured score of zero. Because there are no benchmark entries, there are no exact percentage deltas to report against any rival. The FP32 peak of 345.6 GFLOPS is a theoretical specification, not a benchmark result. The 50th percentile is the only ranking statistic, and it stands without supporting score details. In short, benchmark performance cannot be evaluated from the supplied data. The record provides a midpoint percentile placement, but with no benchmark measurements, the percentile cannot be tied to a specific performance advantage or disadvantage.
Who Should Consider It
The Tesla S870 is a candidate only for workloads that fit entirely within 1536 MB of GDDR3 and that can operate within the 76.80 GB/s memory bandwidth ceiling. The card has no display outputs, so it is not for users who need to attach monitors directly. The 800 W TDP and 1200 W suggested PSU demand a power delivery setup with substantial headroom, although connector specifics are absent. Users considering this card should note the end-of-life status and the empty benchmark list. No resolution- or settings-based recommendation can be grounded in measured scores because the database contains none. Any decision would have to rely on the listed specifications alone.
FAQ
Q: What GPU chip and process does the Tesla S870 use?
A: It uses the G80 chip, manufactured by TSMC on a 90 nm process. The die has 681 million transistors over 484 mm², with a transistor density of 1.4M per mm².
Q: How much memory does the Tesla S870 have and what is its bandwidth?
A: It has 1536 MB of GDDR3 on a 384-bit bus. The memory clock is 800 MHz, effective 1600 Mbps, giving 76.80 GB/s of bandwidth.
Q: Does it support Vulkan or ray tracing?
A: No Vulkan version is listed. No RT core count and no tensor core count are listed. The API list only includes DirectX 11.1 (10_0) and OpenGL 3.3.
Q: What are the power requirements?
A: The TDP is 800 W and the suggested PSU is 1200 W. The card is dual-slot; power connector details are not listed.
Q: Can it output video to monitors?
A: No. Display outputs are listed as “No outputs.”
Q: Why is the average benchmark score 0?
A: The benchmark list is empty, and the database record gives an average benchmark score of 0. There are no benchmark entries to provide measured performance data. The percentileVsAllGpus value is 50.
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