NVIDIA Tesla P100 PCIe 16 GB
NVIDIA graphics card specifications and benchmark scores
NVIDIA Tesla P100 PCIe 16 GB Specifications
Tesla P100 PCIe 16 GB GPU Core
Shader units and compute resources
The NVIDIA Tesla P100 PCIe 16 GB 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 PCIe 16 GB Clock Speeds
GPU and memory frequencies
Clock speeds directly impact the Tesla P100 PCIe 16 GB'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 PCIe 16 GB by NVIDIA dynamically adjusts frequencies based on workload, temperature, and power limits to maximize performance while maintaining stability.
NVIDIA's Tesla P100 PCIe 16 GB Memory
VRAM capacity and bandwidth
VRAM (Video RAM) is dedicated memory for storing textures, frame buffers, and shader data. The Tesla P100 PCIe 16 GB'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 PCIe 16 GB by NVIDIA Cache
On-chip cache hierarchy
On-chip cache provides ultra-fast data access for the Tesla P100 PCIe 16 GB, 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 PCIe 16 GB Theoretical Performance
Compute and fill rates
Theoretical performance metrics provide a baseline for comparing the NVIDIA Tesla P100 PCIe 16 GB 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 PCIe 16 GB 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 PCIe 16 GB will perform in GPU benchmarks compared to previous generations.
NVIDIA's Tesla P100 PCIe 16 GB Power & Thermal
TDP and power requirements
Power specifications for the NVIDIA Tesla P100 PCIe 16 GB 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 PCIe 16 GB to maintain boost clocks without throttling.
Tesla P100 PCIe 16 GB by NVIDIA Physical & Connectivity
Dimensions and outputs
Physical dimensions of the NVIDIA Tesla P100 PCIe 16 GB 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 PCIe 16 GB. 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 PCIe 16 GB Product Information
Release and pricing details
The NVIDIA Tesla P100 PCIe 16 GB 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 PCIe 16 GB by NVIDIA represents good value at current market prices. Predecessor and successor information aids in tracking generational improvements and planning future upgrades.
Tesla P100 PCIe 16 GB Benchmark Scores
No benchmark data available for this GPU.
About NVIDIA Tesla P100 PCIe 16 GB
NVIDIA Tesla P100 PCIe 16 GB: A Deep Dive into High-Performance Computing
The NVIDIA Tesla P100 PCIe 16 GB stands as a cornerstone in high-performance computing, leveraging the Pascal architecture manufactured on a 16 nm process. Boasting 16 GB of HBM2 memory, this GPU delivers unparalleled bandwidth and efficiency for demanding workloads like deep learning, scientific simulations, and data analytics. Its PCIe 3.0 x16 interface ensures seamless integration into modern systems, while a base clock of 1190 MHz and a boost clock of 1329 MHz provide robust processing power under load. At its launch in June 2016, the Tesla P100 commanded a premium price of $5,699 USD, reflecting its cutting-edge design and capabilities.Assessing the Value Proposition: Price-to-Performance Ratio
When evaluating the price-to-performance ratio of the NVIDIA Tesla P100 PCIe 16 GB, it’s essential to consider its role in specialized high-performance scenarios. With 16 GB of HBM2 memory, the GPU offers exceptional memory bandwidth, making it ideal for applications like machine learning training or large-scale simulations. However, its $5,699 launch price positions it firmly in the enterprise-class segment, where alternatives like AMD’s MI25 or cloud-based solutions might compete on cost-efficiency. For consumers or smaller projects, this card’s premium pricing may not justify the investment unless it’s addressing a critical need for raw computational power.Competitive Landscape: Alternatives and Strategic Choices
The NVIDIA Tesla P100 PCIe 16 GB faces stiff competition in the GPU market, particularly from AMD’s MI25 and cloud providers offering high-end instances. While AMD’s HBM2-equipped GPUs provide competitive memory bandwidth, NVIDIA’s ecosystem integration especially with CUDA and libraries like TensorRT often gives their GPUs an edge in specialized workloads. For businesses prioritizing long-term viability and software support, the Tesla P100 remains a strategic choice, though newer architectures like Ampere (e.g., A100) may offer better performance-per-dollar in the future. Cloud computing also remains a viable alternative, especially for users who require scalability without upfront hardware costs.Future-Proofing and Build Recommendations
The NVIDIA Tesla P100 PCIe 16 GB offers significant future-proofing potential for data-intensive applications, particularly in HPC and AI domains. Its Pascal architecture, while older, still supports modern APIs like CUDA 11 and beyond, ensuring compatibility with evolving software stacks. When building a high-performance system, pairing the Tesla P100 with ample RAM, high-speed storage, and robust cooling is crucial to maximize its performance. For users focused on long-term research or production environments, the Tesla P100’s stability and HBM2 memory make it a reliable investment, despite newer GPUs like the NVIDIA A100 offering more efficient designs.Why Choose the NVIDIA Tesla P100 PCIe 16 GB?
- Unmatched HBM2 memory bandwidth for large-scale data processing.
- PCIe 3.0 x16 interface for high-speed connectivity in enterprise systems.
- Robust clock speeds (1190 MHz base, 1329 MHz boost) for demanding workloads.
- NVIDIA’s deep software ecosystem, including CUDA and deep learning frameworks.
- Proven reliability in HPC, AI, and scientific computing environments.
The AMD Equivalent of Tesla P100 PCIe 16 GB
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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