868585-001 HPE 16GB PCI Express Nvidia Tesla P100 GPU.

HPE 868585-001 16GB PCIE Nvidia Tesla P100 Accelerator GPU

The HPE 868585-001 16GB PCI Express Nvidia Tesla P100 Accelerator GPU represents a high-performance computing solution designed for enterprises, research facilities, and data centers that demand advanced parallel processing and accelerated workloads. Built upon Nvidia’s Pascal architecture, this accelerator GPU integrates seamlessly with HPE server infrastructure to deliver massive computational power, exceptional energy efficiency, and scalability for modern data-intensive applications. With its PCI Express interface, the Tesla P100 is engineered for maximum compatibility and bandwidth, ensuring fast data communication between CPU and GPU for high-throughput workloads.

As part of Hewlett Packard Enterprise’s ecosystem, the HPE 868585-001 offers optimal performance tuning, enhanced reliability, and validated integration within HPE ProLiant and Apollo systems. Its 16GB HBM2 memory capacity provides significant bandwidth and reduced latency, supporting complex machine learning models, scientific simulations, and engineering computations with outstanding precision and speed.

Architecture and Design of the Nvidia Tesla P100

The Nvidia Tesla P100 GPU, included in the HPE 868585-001 assembly, is powered by the Pascal GP100 architecture. It represents a technological leap in GPU acceleration, offering an optimized combination of performance, efficiency, and scalability. Fabricated using the 16nm FinFET process, the Pascal GPU architecture significantly enhances transistor density, enabling more cores per GPU and improved throughput. With 3584 CUDA cores, the Tesla P100 achieves substantial floating-point computation performance, making it ideal for workloads such as deep learning, neural network training, and high-precision simulation.

The advanced design incorporates NVLink interconnect technology on some configurations, but the HPE 868585-001 version uses PCI Express for broad compatibility with existing server systems. The PCIe interface allows easy integration into standard server environments while maintaining impressive communication speeds for data transfer between system memory and the GPU accelerator. Its compact form factor allows the Tesla P100 to fit within a wide range of HPE server chassis, promoting versatility in deployment for enterprise data centers and academic institutions alike.

HBM2 Memory Technology and Bandwidth Capabilities

One of the defining features of the HPE 868585-001 Nvidia Tesla P100 Accelerator GPU is its 16GB HBM2 (High Bandwidth Memory 2) configuration. HBM2 memory technology enables unprecedented bandwidth levels, reducing data bottlenecks that often limit conventional GDDR-based GPUs. With memory bandwidth reaching up to 732 GB/s, the Tesla P100 ensures that data-intensive workloads receive rapid access to datasets, minimizing latency and maximizing efficiency in iterative computations.

The HBM2 memory also enhances energy efficiency by allowing higher data rates at lower power consumption. This advantage aligns with HPE’s sustainability objectives, enabling businesses to achieve computational excellence without compromising energy goals. By combining the Tesla P100’s memory subsystem with the robust infrastructure of HPE servers, users benefit from stable performance even under continuous high-load operations. The HPE 868585-001 ensures reliable operation for GPU clusters and multi-node environments that rely on consistent data access and high-speed communication between memory hierarchies.

Performance Metrics and Computational Power

The Tesla P100 featured in the HPE 868585-001 delivers exceptional double-precision and single-precision floating-point performance, making it an indispensable accelerator for scientific computing and engineering simulations. It achieves up to 4.7 TFLOPS of double-precision performance and up to 9.3 TFLOPS of single-precision performance, enabling researchers to execute complex mathematical operations at remarkable speeds. The integration of 3584 CUDA cores ensures parallel processing efficiency, reducing execution time for algorithms and large-scale data analysis tasks.

In deep learning environments, this GPU’s FP16 (half-precision) performance enables even greater computational density, supporting rapid neural network training with reduced memory overhead. As organizations expand their AI and data analytics capabilities, the Tesla P100 provides the foundation to handle vast datasets with precision and reliability. Combined with optimized libraries such as CUDA, cuDNN, and TensorRT, the Tesla P100’s acceleration framework seamlessly integrates into modern AI and HPC workflows. This synergy makes the HPE 868585-001 a cornerstone component in GPU-accelerated computing strategies for enterprise and research sectors.

Integration with HPE Server Ecosystem

Hewlett Packard Enterprise has engineered the 868585-001 GPU module to integrate flawlessly with its extensive server portfolio. This includes the HPE ProLiant and HPE Apollo series, which are purpose-built for scalable high-performance workloads. Each server platform supports the Tesla P100 GPU through dedicated PCI Express slots, ensuring optimal airflow, thermal control, and power delivery. The compatibility and validation testing performed by HPE guarantee that organizations can deploy the accelerator confidently without hardware conflicts or performance degradation.

When installed within an HPE server, the Tesla P100 functions as an integral component of the overall computational framework. HPE’s Intelligent System Tuning (IST) and Integrated Lights-Out (iLO) management systems provide real-time monitoring of GPU performance, temperature, and power usage. This capability ensures that administrators can maintain performance consistency across multi-GPU setups, optimizing workloads according to application requirements. Moreover, the modular design of the 868585-001 facilitates straightforward upgrades, allowing IT teams to scale GPU resources in line with expanding computational demands.

Enhanced Cooling and Thermal Efficiency

The HPE 868585-001 incorporates a high-efficiency cooling system designed to manage the thermal output of the Nvidia Tesla P100. As GPUs operate under heavy computational loads, maintaining optimal temperatures is critical to sustaining performance and reliability. HPE’s engineering ensures that the accelerator benefits from precision airflow management within compatible server chassis. The design minimizes hotspots, promoting uniform heat dissipation across the GPU die and memory modules. This approach prevents thermal throttling and extends component lifespan, supporting long-term data center operation.

Thermal management is further supported by adaptive fan speed controls and HPE’s advanced power management systems. These features dynamically adjust cooling intensity based on real-time GPU workloads, enhancing both energy efficiency and operational stability. The result is a balanced environment where the Tesla P100 can perform at peak capacity without excessive heat buildup. This combination of cooling technology and architectural efficiency enables organizations to deploy GPU clusters with high density while maintaining safe operating conditions.

Power Efficiency and Operational Sustainability

Power consumption remains a critical factor in high-performance computing environments. The HPE 868585-001 leverages the inherent efficiency of Nvidia’s Pascal architecture, providing superior performance per watt compared to earlier GPU generations. By optimizing transistor switching and reducing voltage requirements, the Tesla P100 achieves high computational output with lower energy demands. This advantage translates into reduced operational costs and improved sustainability metrics for data centers pursuing green IT initiatives.

HPE complements the GPU’s energy-efficient design with advanced server-level power management features. Administrators can fine-tune GPU power limits, monitor energy utilization, and allocate resources dynamically to balance performance with efficiency. This flexibility is particularly valuable in multi-tenant environments and research facilities where computational workloads fluctuate over time. The combination of energy optimization and peak performance defines the HPE 868585-001 as a forward-looking accelerator for organizations prioritizing both performance and sustainability.

Applications of the HPE 868585-001 Tesla P100 Accelerator

The HPE 868585-001 16GB PCI Express Nvidia Tesla P100 Accelerator GPU serves a diverse range of applications across multiple industries. In high-performance computing (HPC), it accelerates simulations, weather modeling, fluid dynamics, and molecular research. Its double-precision capability ensures accurate scientific computations essential in fields such as astrophysics, genomics, and materials science. Researchers benefit from reduced computation time, enabling faster experimentation and discovery cycles.

Scientific Computing and Research Simulations

Scientific computing represents one of the primary areas where the Tesla P100 demonstrates exceptional performance. The HPE 868585-001 provides computational scientists with the parallel processing power necessary to tackle complex simulations. Whether modeling climate patterns, running quantum chemistry calculations, or analyzing genome sequences, the Tesla P100’s floating-point precision and compute density deliver results faster than traditional CPU-based systems. Its compatibility with CUDA-enabled scientific applications ensures that researchers can port existing workloads without significant code modification.

Universities and research institutions adopting HPE servers with Tesla P100 accelerators can build GPU clusters that handle massive parallel jobs efficiently. This capability fosters collaboration in distributed computing environments where computational tasks are divided across multiple GPUs. The HPE 868585-001 thus becomes a key enabler of scientific advancement, providing a scalable, reliable, and efficient foundation for computational research.

Enterprise Virtualization and GPU-Accelerated Cloud Computing

Beyond scientific and AI workloads, the Tesla P100 also supports enterprise-grade virtualization and GPU-accelerated cloud computing. Organizations deploying virtual desktop infrastructure (VDI) or GPU-enabled containers benefit from the Tesla P100’s performance consistency and scalability. Its PCI Express interface allows easy integration into cloud servers, providing flexible resource allocation for diverse virtual workloads. By combining the Tesla P100 with HPE’s cloud-optimized server solutions, businesses can deploy GPU-accelerated instances that deliver superior computational performance for graphical applications, simulation environments, and engineering design software.

The Tesla P100’s virtualization capabilities are enhanced through support for Nvidia GRID and CUDA virtualization technologies, enabling multiple users to share GPU resources effectively. This feature ensures optimal utilization of hardware resources across enterprise or research environments, maximizing return on investment. The HPE 868585-001’s reliability and tested integration make it an ideal solution for cloud providers, enabling high-performance GPU instances for compute-intensive workloads in a virtualized infrastructure.

Software Ecosystem and Developer Tools

Developers leveraging the HPE 868585-001 can access Nvidia’s extensive software ecosystem, including CUDA, cuBLAS, cuFFT, and TensorRT libraries. These frameworks provide the foundation for accelerating applications in scientific, engineering, and AI domains. The GPU’s compatibility with popular deep learning frameworks ensures that developers can transition their models seamlessly without extensive code modifications. HPE provides additional firmware updates and driver packages that optimize the accelerator’s performance within its server platforms, ensuring consistent operation and maximum compute efficiency.

In addition to Nvidia’s developer resources, HPE’s system management tools provide administrators with real-time insights into GPU utilization and system health. This integration simplifies maintenance, reduces downtime, and enables predictive analytics for system performance optimization. The comprehensive software ecosystem surrounding the HPE 868585-001 ensures that both developers and IT administrators can fully leverage the accelerator’s potential across diverse computational workloads.

Scalability and Deployment in Modern Data Centers

The scalability of the HPE 868585-001 makes it an ideal choice for modern data centers seeking to expand their GPU compute infrastructure. With support for multi-GPU configurations, enterprises can interconnect multiple Tesla P100 units within HPE servers to build high-performance GPU clusters. This scalability supports distributed computing architectures, allowing workloads to be partitioned and processed concurrently across numerous GPUs. As AI and data analytics workloads grow in complexity, such scalability ensures that computing resources can be expanded without major architectural changes.

HPE’s infrastructure design promotes modular scalability, allowing organizations to add or replace GPUs as required. The Tesla P100’s PCI Express compatibility further simplifies integration into diverse server environments, ensuring that expansion does not disrupt existing operations. For data centers aiming to modernize their computing environments, the HPE 868585-001 delivers the flexibility, efficiency, and performance necessary for both current and future computational demands.

Future-Proofing Through Advanced Architecture

Although the Pascal-based Tesla P100 is part of an earlier generation compared to newer GPU architectures, its performance, reliability, and integration capabilities remain highly relevant for many enterprise and research workloads. The architecture continues to deliver consistent acceleration for machine learning, simulation, and analytics applications. Organizations adopting the HPE 868585-001 benefit from a mature, stable platform that supports proven software stacks and extensive documentation, ensuring longevity and predictable performance.

The GPU’s balance of performance and power efficiency makes it a strategic investment for businesses seeking a cost-effective yet powerful accelerator. As part of HPE’s long-term hardware support ecosystem, the Tesla P100-based 868585-001 receives firmware and driver updates that maintain compatibility with evolving software frameworks. This forward-looking approach guarantees that enterprises can sustain computational excellence and security compliance even as workloads evolve over time.

Thermal Design and Reliability in Continuous Operation

Reliability under continuous operation is a core design principle of the HPE 868585-001. The Tesla P100 GPU employs a robust thermal management solution that enables sustained performance during extended high-load processing. HPE’s server designs enhance this reliability with precision-engineered airflow paths and redundant cooling components. The combination ensures consistent GPU temperatures, reduced risk of thermal throttling, and minimal downtime for maintenance.

Each HPE 868585-001 accelerator undergoes validation testing under extreme conditions to ensure operational integrity. The materials used in its construction, including high-quality thermal interfaces and durable components, contribute to long-term stability. This design philosophy aligns with HPE’s enterprise-grade standards, where continuous 24/7 operation and predictable performance are critical. By ensuring reliability and thermal efficiency, the HPE 868585-001 provides organizations with a dependable GPU solution suitable for mission-critical computing environments.

Value Proposition and Use Case Optimization

The HPE 868585-001 16GB PCI Express Nvidia Tesla P100 Accelerator GPU delivers an exceptional balance between performance, efficiency, and affordability. Its integration into HPE servers ensures organizations can deploy advanced GPU computing without the complexity typically associated with standalone accelerator solutions. Whether applied to AI research, engineering simulations, or enterprise data analytics, the Tesla P100 provides predictable, high-quality results that meet professional and industrial standards.

Enterprises focusing on computational workloads such as financial modeling, energy exploration, and predictive analytics can significantly accelerate their operations with this GPU. The combination of HBM2 memory, high CUDA core count, and PCIe connectivity makes it versatile for both legacy and modern applications. Moreover, the stability of the Pascal platform ensures that software developers can optimize performance across multiple use cases with minimal maintenance overhead. This reliability translates to reduced total cost of ownership and long-term return on investment for data-driven enterprises.

Deployment Scenarios Across Industries

Across different industries, the HPE 868585-001 demonstrates wide-ranging applicability. In healthcare, it accelerates image analysis, genomics research, and predictive diagnostics. In finance, it supports algorithmic trading, risk modeling, and portfolio optimization. The energy sector benefits from its ability to model seismic data and simulate exploration scenarios with increased accuracy. Manufacturing and automotive industries utilize its compute capabilities for design simulations, computational fluid dynamics, and autonomous vehicle algorithm training. The Tesla P100’s flexibility ensures it can serve any workload demanding high-performance parallel computing.

Educational and research institutions also benefit significantly from this GPU accelerator. By integrating it within HPE clusters, they gain access to computational power that supports collaborative projects and distributed learning models. The Tesla P100’s strong compatibility with academic software and open-source frameworks enhances its appeal in research-focused environments. The HPE 868585-001 therefore stands as a trusted solution for accelerating innovation across various fields of study and industry sectors.