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NVIDIA Tesla P100 SXM2

NVIDIA graphics card specifications and benchmark scores

16 GB
VRAM
1480
MHz Boost
300W
TDP
4096
Bus Width

NVIDIA Tesla P100 SXM2 Specifications

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Tesla P100 SXM2 GPU Core

Shader units and compute resources

The NVIDIA Tesla P100 SXM2 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.

Shading Units
3,584
Shaders
3,584
TMUs
224
ROPs
96
SM Count
56
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Tesla P100 SXM2 Clock Speeds

GPU and memory frequencies

Clock speeds directly impact the Tesla P100 SXM2'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 SXM2 by NVIDIA dynamically adjusts frequencies based on workload, temperature, and power limits to maximize performance while maintaining stability.

Base Clock
1328 MHz
Base Clock
1,328 MHz
Boost Clock
1480 MHz
Boost Clock
1,480 MHz
Memory Clock
715 MHz 1430 Mbps effective
GDDR GDDR 6X 6X

NVIDIA's Tesla P100 SXM2 Memory

VRAM capacity and bandwidth

VRAM (Video RAM) is dedicated memory for storing textures, frame buffers, and shader data. The Tesla P100 SXM2'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.

Memory Size
16 GB
VRAM
16,384 MB
Memory Type
HBM2
VRAM Type
HBM2
Memory Bus
4096 bit
Bus Width
4096-bit
Bandwidth
732.2 GB/s
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Tesla P100 SXM2 by NVIDIA Cache

On-chip cache hierarchy

On-chip cache provides ultra-fast data access for the Tesla P100 SXM2, 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.

L1 Cache
24 KB (per SM)
L2 Cache
4 MB
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Tesla P100 SXM2 Theoretical Performance

Compute and fill rates

Theoretical performance metrics provide a baseline for comparing the NVIDIA Tesla P100 SXM2 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.

FP32 (Float)
10.61 TFLOPS
FP64 (Double)
5.304 TFLOPS (1:2)
FP16 (Half)
21.22 TFLOPS (2:1)
Pixel Rate
142.1 GPixel/s
Texture Rate
331.5 GTexel/s
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Pascal Architecture & Process

Manufacturing and design details

The NVIDIA Tesla P100 SXM2 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 SXM2 will perform in GPU benchmarks compared to previous generations.

Architecture
Pascal
GPU Name
GP100
Process Node
16 nm
Foundry
TSMC
Transistors
15,300 million
Die Size
610 mm²
Density
25.1M / mm²
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NVIDIA's Tesla P100 SXM2 Power & Thermal

TDP and power requirements

Power specifications for the NVIDIA Tesla P100 SXM2 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 SXM2 to maintain boost clocks without throttling.

TDP
300 W
TDP
300W
Power Connectors
None
Suggested PSU
700 W
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Tesla P100 SXM2 by NVIDIA Physical & Connectivity

Dimensions and outputs

Physical dimensions of the NVIDIA Tesla P100 SXM2 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.

Slot Width
SXM Module
Bus Interface
PCIe 3.0 x16
Display Outputs
No outputs
Display Outputs
No outputs
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NVIDIA API Support

Graphics and compute APIs

API support determines which games and applications can fully utilize the NVIDIA Tesla P100 SXM2. 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.

DirectX
12 (12_1)
DirectX
12 (12_1)
OpenGL
4.6
OpenGL
4.6
Vulkan
1.3
Vulkan
1.3
OpenCL
3.0
CUDA
6.0
Shader Model
6.0
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Tesla P100 SXM2 Product Information

Release and pricing details

The NVIDIA Tesla P100 SXM2 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 SXM2 by NVIDIA represents good value at current market prices. Predecessor and successor information aids in tracking generational improvements and planning future upgrades.

Manufacturer
NVIDIA
Release Date
Apr 2016
Production
End-of-life
Predecessor
Tesla Maxwell
Successor
Tesla Volta

Tesla P100 SXM2 Benchmark Scores

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No benchmark data available for this GPU.

About NVIDIA Tesla P100 SXM2

Are you seeking unparalleled compute performance for your data center workloads? The NVIDIA Tesla P100 SXM2 graphics card, built on the Pascal architecture with a 16 nm process, delivers exceptional FP64 and FP32 performance thanks to its 1328 MHz base clock and 1480 MHz boost clock. With 16 GB of HBM2 VRAM, it handles massive datasets efficiently, but does it meet your specific tensor core needs? Its 300W TDP ensures robust power for sustained computations, yet how does this balance with your cooling infrastructure? Have you evaluated its PCIe 3.0 x16 interface for seamless integration into high-performance computing clusters?

  • 16 GB HBM2 VRAM for high-bandwidth memory access
  • Pascal architecture optimized for double-precision tasks
  • 300W TDP supporting intensive parallel processing
  • 16 nm fabrication for efficiency and density
  • Released in April 2016, proven in enterprise environments

Can the Tesla P100 SXM2 accelerator truly excel in video editing workflows? Despite lacking specific benchmark data, its HBM2 memory and high clock speeds suggest strong capabilities for 4K and 8K rendering pipelines. Professionals might question its CUDA core count for real-time effects processing, but the architecture's design targets demanding creative suites. Does its compute-focused heritage limit transcoding speeds compared to consumer GPUs? How would its performance scale in multi-GPU Adobe Premiere setups for enterprise post-production?

What professional certifications does the NVIDIA Tesla P100 SXM2 graphics card hold to ensure reliability? Certified for major HPC applications, it supports ECC memory for error-free computations critical in scientific simulations. Is it ISV-certified for tools like ANSYS or MATLAB, bolstering trust in professional environments? Its SXM2 form factor aligns with DGX systems, but do these certifications extend to your compliance requirements? Have you verified its qualifications for financial modeling or AI training certifications?

Is the P100 SXM2 the right fit for your workstation builds? Designed for server-grade deployments since its 2016 release, it thrives in NVIDIA DGX-1 workstations for AI and deep learning. But can it integrate into custom builds without SXM2 sockets? Its 300W TDP demands advanced power and thermal management does your chassis support this? How might it enhance hybrid workstation clusters for rendering farms? Consider its legacy performance against newer Ampere or Hopper options for long-term scalability.

The AMD Equivalent of Tesla P100 SXM2

Looking for a similar graphics card from AMD? The AMD Radeon RX 480 offers comparable performance and features in the AMD lineup.

AMD Radeon RX 480

AMD • 8 GB VRAM

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