NVIDIA Tesla K40s
NVIDIA graphics card specifications and benchmark scores
At a Glance
NVIDIANVIDIA Tesla K40s Specifications
GPU Core
Shader units and compute resources
The NVIDIA Tesla K40s 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 K40s Clock Speeds
GPU and memory frequencies
Clock speeds directly impact the Tesla K40s'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 K40s by NVIDIA dynamically adjusts frequencies based on workload, temperature, and power limits to maximize performance while maintaining stability.
NVIDIA's Tesla K40s Memory
VRAM capacity and bandwidth
VRAM (Video RAM) is dedicated memory for storing textures, frame buffers, and shader data. The Tesla K40s'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 K40s by NVIDIA Cache
On-chip cache hierarchy
On-chip cache provides ultra-fast data access for the Tesla K40s, 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 K40s Theoretical Performance
Compute and fill rates
Theoretical performance metrics provide a baseline for comparing the NVIDIA Tesla K40s 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.
Kepler Architecture & Process
Manufacturing and design details
The NVIDIA Tesla K40s is built on NVIDIA's Kepler 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 K40s will perform in GPU benchmarks compared to previous generations.
Power & Thermal
TDP and power requirements
Power specifications for the NVIDIA Tesla K40s 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 K40s to maintain boost clocks without throttling.
Tesla K40s by NVIDIA Physical & Connectivity
Dimensions and outputs
Physical dimensions of the NVIDIA Tesla K40s 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 K40s. 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 K40s Product Information
Release and pricing details
The NVIDIA Tesla K40s 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 K40s 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 K40s
The NVIDIA Tesla K40s is an end-of-life compute accelerator from the Tesla Kepler generation, released on November 21, 2013. It uses the GK110B chip, manufactured by TSMC on a 28 nm process, with 7,080 million transistors on a 561 mm² die, for a transistor density of 12.6M per square millimeter. The board is dual-slot and 267 mm (10.5 inches) long, connects through PCIe 3.0 x16, and has no display outputs. Its 12 GB GDDR5 memory pool and 4.067 TFLOPS FP32 rate place it in the server/compute category rather than the desktop graphics category. The product lineage places it after Tesla Fermi and before Tesla Maxwell.
Who Should Consider It
Because displayOutputs is listed as "No outputs", the K40s cannot be connected to a monitor. This removes the usual resolution-and-settings use case entirely. The benchmark array is empty, so there is no measured data to recommend specific resolutions, image quality settings, or frame rate expectations. Anyone looking for a card to drive a screen should not consider this part.
The appropriate audience is compute users who need a large memory pool and high FP32 throughput. The card has 12 GB of GDDR5 on a 384-bit bus, with 288.4 GB/s of memory bandwidth. That is a substantial memory configuration for data-intensive workloads. The 2,880 shading units provide the compute core count, and the FP32 rate is 4.067 TFLOPS. The memory clock is 1502 MHz, listed as 6 Gbps effective. Base and boost clocks are both 706 MHz, so the data does not describe any boost headroom to plan around. Because the production status is end-of-life, it should only be considered by someone comfortable with a discontinued product.
The lack of measured benchmark scores means the theoretical figures are the main decision inputs. The fixed 706 MHz clock gives no expectation of a dynamic boost curve. For workloads that fit within the 12 GB memory capacity and can use the FP32 throughput, the K40s is a plausible compute board. For conventional gaming or display output, it is not.
Power and Cooling
The K40s has a TDP of 245 W and a suggested PSU rating of 550 W. That is the core power-planning data. The power connector type is not listed in the database, so physical cable requirements are not specified in this record. A system builder should treat the 550 W figure as the stated system-level recommendation.
The card is dual-slot, meaning it occupies two expansion slots. Its length is 267 mm, or 10.5 inches. These dimensions provide a concrete mechanical constraint for chassis selection. The cooling solution is described only as dual-slot; the data does not detail fan or heatsink design. The bus interface is PCIe 3.0 x16, which defines the required slot type. The identical base and boost clock of 706 MHz indicates that the recorded power profile does not involve a large reported boost delta. No other thermal limits are provided in the data.
Benchmark Performance
The database entry contains no measured benchmark scores. The benchmarks array is empty, the average benchmark score is 0, and the nearestRivals array is empty. As a result, no exact percentage deltas against rival cards can be reported from this data. Any statement such as "faster than" or "slower than" another specific GPU would require rival scores and deltaPct values that are not present.
What can be analyzed is theoretical throughput. FP32 compute is 4.067 TFLOPS. Texture fill is 169.4 GTexel/s, driven by 240 texture units. Pixel fill is 42.36 GPixel/s, driven by 48 ROPs. The shading unit count is 2,880. Memory bandwidth is 288.4 GB/s, achieved with a 384-bit bus and 1502 MHz / 6 Gbps effective GDDR5 memory.
The database records a percentileVsAllGpus value of 50. That places the card at the midpoint of all GPUs in the database distribution. However, with no benchmark entries behind it, this percentile is a positional rank rather than a workload-proven performance score. Without measured scores or rival deltas, the theoretical rates are the only usable performance indicators in this record.
How It Compares
The nearestRivals field is empty. There are no rival names, scores, or deltaPct values to quote, so a rival-by-rival comparison cannot be constructed from the data. The absence of nearestRivals means there is no basis for a specific "ahead of" or "behind" statement against any named GPU.
The only relative anchor is percentileVsAllGpus: 50. This places the K40s at the median of the database distribution, but it does not identify which GPUs sit just above or below it. The product lineage is more useful: the predecessor is Tesla Fermi and the successor is Tesla Maxwell. The data does not provide benchmark results for those generations, so this lineage should be read as product positioning, not as a measured performance comparison.
Ray Tracing and Feature Set
The K40s has no dedicated ray tracing cores and no dedicated tensor cores. Both the rtCores field and the tensorCores field are null. This is consistent with the card being a compute accelerator from the Kepler architecture rather than a hardware ray tracing or tensor-accelerated part.
The recorded API support includes DirectX 12 (11_1), OpenGL 4.6, and Vulkan 1.2.175. That is the API surface as listed in the data. The compute feature set is defined by 2,880 shading units, 240 texture units, and 48 ROPs. Pixel rate is 42.36 GPixel/s and texture rate is 169.4 GTexel/s. FP16 performance is not reported; the only programmable throughput figure is FP32 at 4.067 TFLOPS.
Because display outputs are listed as "No outputs", there is no display feature set such as monitor connectivity or multi-monitor support. The card exists purely as a compute board. The architecture is Kepler, and the API list is the only feature-level software characterization provided in this record.
FAQ
Q: What memory configuration does the Tesla K40s use?
A: 12 GB of GDDR5 on a 384-bit bus, with 288.4 GB/s of memory bandwidth. The memory clock is 1502 MHz, listed as 6 Gbps effective.
Q: Does the K40s have ray tracing or tensor cores?
A: No. Both rtCores and tensorCores are null in the database entry.
Q: Can the K40s drive a display?
A: No. Display outputs are listed as "No outputs", so it cannot be connected directly to a monitor.
Q: What power supply does the K40s need?
A: The suggested PSU rating is 550 W, while the card TDP is 245 W. The card is dual-slot and 267 mm (10.5 inches) long.
Q: What APIs does the K40s support?
A: The recorded API support is DirectX 12 (11_1), OpenGL 4.6, and Vulkan 1.2.175.
Q: Is the K40s still in production?
A: No. The production status is end-of-life, and the release date is November 21, 2013.
Detailed benchmark scores and charts for the NVIDIA Tesla K40s are below.
Benchmark Scores
No benchmark data available for this GPU.
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