NVIDIA Tesla P100 DGXS
NVIDIA graphics card specifications and benchmark scores
At a Glance
NVIDIANVIDIA Tesla P100 DGXS Specifications
Tesla P100 DGXS GPU Core
Shader units and compute resources
The NVIDIA Tesla P100 DGXS 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 P100 DGXS Clock Speeds
GPU and memory frequencies
Clock speeds directly impact the Tesla P100 DGXS'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 P100 DGXS by NVIDIA dynamically adjusts frequencies based on workload, temperature, and power limits to maximize performance while maintaining stability.
NVIDIA's Tesla P100 DGXS Memory
VRAM capacity and bandwidth
VRAM (Video RAM) is dedicated memory for storing textures, frame buffers, and shader data. The Tesla P100 DGXS'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 P100 DGXS by NVIDIA Cache
On-chip cache hierarchy
On-chip cache provides ultra-fast data access for the Tesla P100 DGXS, 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 P100 DGXS Theoretical Performance
Compute and fill rates
Theoretical performance metrics provide a baseline for comparing the NVIDIA Tesla P100 DGXS 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.
Pascal Architecture & Process
Manufacturing and design details
The NVIDIA Tesla P100 DGXS is built on NVIDIA's Pascal 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 P100 DGXS will perform in GPU benchmarks compared to previous generations.
NVIDIA's Tesla P100 DGXS Power & Thermal
TDP and power requirements
Power specifications for the NVIDIA Tesla P100 DGXS 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 P100 DGXS to maintain boost clocks without throttling.
Tesla P100 DGXS by NVIDIA Physical & Connectivity
Dimensions and outputs
Physical dimensions of the NVIDIA Tesla P100 DGXS 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 P100 DGXS. 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 P100 DGXS Product Information
Release and pricing details
The NVIDIA Tesla P100 DGXS 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 P100 DGXS by NVIDIA represents good value at current market prices. Predecessor and successor information aids in tracking generational improvements and planning future upgrades.
Tesla P100 DGXS Benchmark Scores
No benchmark data available for this GPU.
About NVIDIA Tesla P100 DGXS
The NVIDIA Tesla P100 DGXS is a Pascal-generation compute accelerator built around the GP100 chip. It is manufactured by TSMC on a 16 nm process, with 15,300 million transistors on a 610 mm² die and a transistor density of 25.1M per mm². The database lists it as End-of-life, released 2016-04-04, with Tesla Maxwell as its predecessor and Tesla Volta as its successor. It has no display outputs, so it is not intended for direct monitor connection; it is a PCIe 3.0 x16 accelerator aimed at compute workloads. The specification set is heavily compute-oriented: 3,584 shading units, 224 texture units, 96 ROPs, no RT cores, and no tensor cores. The listed APIs are DirectX 12 (12_1), OpenGL 4.6, and Vulkan 1.3.
How It Compares
No nearest rivals are listed for the NVIDIA Tesla P100 DGXS. There are no rival names, scores, or deltaPct values in the database for this card, so no direct per-rival comparison paragraphs can be constructed from the listed data. The only relative placement available is percentileVsAllGpus: 50. That places the card at the median of all GPUs in the database: half of the database population sits below it, and half sits above it. This median position is not a verdict on the card’s compute capability; it simply means that in the database’s overall ranking, the P100 DGXS occupies a middle position rather than a top or bottom extreme. Given that the card is End-of-life and its successor is Tesla Volta, a middle-of-the-pack percentile is consistent with an older accelerator that is still equipped with substantial memory bandwidth and FP32/FP16 throughput.
Without nearestRivals entries, any percentage comparison against a specific rival would be invented. No delta percentages are available.
Who Should Consider It
The P100 DGXS should be considered by users who need a high-bandwidth compute accelerator rather than a display adapter. Because there are no display outputs, anyone needing to plug in a monitor should not select this card. The relevant use cases are server-side or workstation-based compute jobs where the 10.61 TFLOPS FP32 rate and 21.22 TFLOPS FP16 rate (2:1) can be applied to large data sets.
The memory configuration also matters for practical recommendations. With 16 GB of HBM2, a 4096-bit bus, and 732.2 GB/s of bandwidth, the card is suited for workloads that move large buffers around. At high resolutions, memory capacity and bandwidth become more important, and 16 GB gives the card enough space to hold sizable framebuffers, textures, or compute working sets without relying on system memory. The 4096-bit memory bus is particularly relevant for this because it can transfer a very large amount of data per memory clock cycle.
For gaming and interactive rendering, there is no benchmark data to support settings recommendations. The card does support DirectX 12 (12_1), OpenGL 4.6, and Vulkan 1.3, so API-level capabilities are present, but the absence of display outputs makes it an awkward choice for a gaming workstation unless it is paired with a separate display-capable GPU. Users with FP32-heavy or FP16-heavy workloads, high-resolution memory-bound compute, or a need for a wide memory interface should consider the P100 DGXS. Users looking for dedicated ray tracing or tensor-core features should not, because RT cores and tensor cores are not listed.
Benchmark Performance
The database records no aggregate benchmark scores for the P100 DGXS: the avgBenchmarkScore is 0, and no benchmark entries are listed. As a result, there are no measured performance scores to compare against rivals, and no exact percentage deltas can be computed. The percentileVsAllGpus value of 50 is the only database ranking data available, and it indicates a median position in the overall GPU population rather than a performance measurement.
What is available are the listed theoretical peak rates. The FP32 throughput is 10.61 TFLOPS, and the FP16 throughput is 21.22 TFLOPS. The FP16 figure is exactly double the FP32 figure, matching the listed 2:1 ratio. This means the card can process FP16 data at twice the rate of FP32 data, which is useful for workloads that can tolerate reduced precision. The texture rate is 331.5 GTexel/s, and the pixel rate is 142.1 GPixel/s, both driven by the 3,584 shading units, 224 TMUs, and 96 ROPs.
Since no rival deltaPct values exist, the best way to position this card is by architecture and memory. It uses HBM2 memory with 732.2 GB/s of bandwidth, which is a strong memory-throughput figure for a card sitting at the 50th percentile in the database. In a benchmark database without direct comparison entries, theoretical rates and memory bandwidth provide more useful guidance than the aggregate score of 0. Builders should treat the omitted benchmark data as an absence of recorded runs, not as a measured performance result.
FAQ
Q: What memory configuration does the NVIDIA Tesla P100 DGXS use?
A: It uses 16 GB of HBM2 memory on a 4096-bit bus, with 732.2 GB/s of memory bandwidth. The memory clock is listed as 715 MHz, or 1430 Mbps effective.
Q: Does the P100 DGXS have display outputs?
A: No. The displayOutputs field is "No outputs", so the card cannot drive a monitor on its own.
Q: What power delivery does it require?
A: The TDP is 300 W, the suggested PSU is 700 W, and the powerConnectors field is "None". No auxiliary power connector is listed.
Q: What APIs are supported?
A: The card supports DirectX 12 (12_1), OpenGL 4.6, and Vulkan 1.3. It has no RT cores and no tensor cores listed.
Q: Is the P100 DGXS still in production?
A: No. Its production status is End-of-life. It was released on 2016-04-04, with the predecessor listed as Tesla Maxwell and the successor as Tesla Volta.
Q: What interface does it use to connect to the system?
A: It uses PCIe 3.0 x16.
Power and Cooling
The TDP for the P100 DGXS is 300 W. The database lists a suggested PSU of 700 W, which provides the power-supply sizing guidance. Unusually, the powerConnectors field is "None", meaning no standard auxiliary PCIe power cable is documented. Builders should therefore ensure that the host system or chassis provides power through its intended server or workstation power delivery path, rather than assuming a conventional GPU power cable is needed.
Cooling information is sparse. The database does not list a slot width, length, height, or width for this card, so physical fitment cannot be verified from these records. Because there are no display outputs, the card does not need to occupy a slot with rear-panel display ports, but the lack of dimension data means cooler compatibility and clearance should be checked against the system’s actual construction. The card is End-of-life, so replacement thermal parts may be limited.
Memory Subsystem
The memory subsystem is one of the strongest parts of the P100 DGXS specification. It uses 16 GB of HBM2 on a 4096-bit bus, yielding 732.2 GB/s of bandwidth. The memory clock is listed at 715 MHz with an effective data rate of 1430 Mbps. The 4096-bit bus is the key enabler of this bandwidth; with such a wide bus, even a moderate memory clock produces high aggregate throughput.
For high-resolution work, this memory design has clear relevance. Large frame buffers, high-resolution textures, and large compute buffers all consume memory capacity, and the 16 GB pool provides significant room. The 732.2 GB/s bandwidth then determines how quickly that memory can be read and written by the 3,584 shading units. Combined with the FP32 throughput of 10.61 TFLOPS, the memory subsystem is capable of feeding the compute units at a high rate. The card does not list RT cores or tensor cores, so the memory bandwidth is primarily available for conventional shading and compute work rather than dedicated ray tracing or tensor acceleration.
The AMD Equivalent of Tesla P100 DGXS
Looking for a similar graphics card from AMD? The AMD Radeon RX 480 offers comparable performance and features in the AMD lineup.
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