HP R8T26C Nvidia Pcie Computational Accelerator 64GB A16

( Brand: Hp ), ( Manufacturer Part Number: R8T26C ), ( Country/region Of Manufacture: United States )

Review HP Hpe Nvidia A16 Pcie Computational Accelerator

The HP R8t260a NVIDIA A100 PCIe Computational Accelerator is a high-performance data center solution designed to boost the capabilities of your server infrastructure. This accelerator is equipped with an NVIDIA A100 Tensor Core GPU, which delivers unprecedented computing power, making it ideal for artificial intelligence (AI), machine learning (ML), high-performance computing (HPC), and data analytics workloads.

The NVIDIA A100 GPU features 720 Tensor Cores, 4,864 CUDA Cores, and 617.6 TFLOPs of FP16 performance. It also supports third-generation Tensor Cores, NVLink, and CUDA-X AI software stack, ensuring optimal performance for the most demanding AI and HPC applications.

This accelerator comes with 64GB of HBM2 (High Bandwidth Memory), which delivers 1.3 TB/s of memory bandwidth. The HBM2 memory is directly attached to the GPU, ensuring ultra-fast data access and transfer rates. This is particularly beneficial for large datasets and complex models that require fast data processing.

The HP R8t260a NVIDIA A100 PCIe Computational Accelerator is a 2-slot form factor, and it supports PCIe Gen 4 x16 interface. It also features a high-density, compact design, making it easy to deploy in standard server racks and data centers.

Additionally, this accelerator includes a number of features that enhance its functionality and ease of integration into your server infrastructure. These include support for NVLink, NVSwitch, and RDMA over Converged Ethernet (RoCE), as well as built-in power management and thermal control systems.

In summary, the HP R8t260a NVIDIA A100 PCIe Computational Accelerator is a powerful and versatile data center solution that delivers exceptional computing performance for AI, ML, HPC, and data analytics workloads. Its advanced features, including HBM2 memory, NVLink, and CUDA-X AI software stack, make it a must-have for organizations that require the highest levels of performance and efficiency from their server infrastructure.

The HP R8t260 M.2 PCIe Computational Accelerator with NVIDIA A100 Tensor Core GPUs is a high-performance data processing solution designed for artificial intelligence (AI) and machine learning (ML) workloads. Here are some pros and cons that might help you make an informed decision about purchasing this accelerator:

1. High Computational Power: NVIDIA A100 GPUs are known for their exceptional compute capabilities, which makes this accelerator well-suited for AI and ML workloads that require massive parallel processing.

2. Large Memory Capacity: With 64GB of HBM2 (High Bandwidth Memory), this accelerator can handle larger datasets and complex models, increasing efficiency and productivity.

3. PCIe 4.0 Interface: The PCIe 4.0 interface allows for faster data transfer between the accelerator and the host system, reducing bottlenecks and improving overall performance.

4. CUDA-X and NCCL Support: This accelerator supports CUDA-X libraries and NCCL (NVIDIA Collective Communications Library), enabling optimized data transfer and parallel processing for deep learning frameworks like TensorFlow, PyTorch, and MXNet.

1. High Cost: The HP R8t260 M.2 PCIe Computational Accelerator is a premium solution, and its price point might be prohibitive for some users, especially for those working on smaller projects or with limited budgets.

2. Power Consumption: High-performance GPUs like the NVIDIA A100 consume significant power, and this accelerator is no exception. Make sure your power supply can handle the additional load.

3. Size and Form Factor: This accelerator is quite large and requires a dedicated PCIe slot, which might limit its compatibility with some systems and increase the overall system complexity.

In conclusion, the HP R8t260 M.2 PCIe Computational Accelerator with NVIDIA A100 Tensor Core GPUs is an excellent choice for organizations and individuals working on large-scale AI and ML projects that require high computational power and large memory capacity. However, its high cost, power consumption, and size might be limiting factors for some users.

If you have the budget and the need for a powerful accelerator, this might be the right choice for you. Otherwise, you might want to consider other options, such as cloud-based solutions or less expensive GPUs, depending on your specific requirements and constraints.

Details:

Serial numbers and asset tags on all parts recorded. HPE NVIDIA A16 64GB PCIe Computational Accelerator, All parts tested.

part #: r8t26c price

• $4795.00

specifications serversappy:

• brand: Hp
• manufacturer part number: R8T26C
• country/region of manufacture: United States

returns serversappy:

• policy: No Returns

general serversappy:

• Enterprise Networking, Servers > Server Components > Other Ent Server Components
• condition: Used

payments serversappy:

• credit card: Visa
• wallet: Paypal

seller serversappy:

• rating: 99.1%
• # reviews: 3150
• city: Minneapolis, Minnesota

offer serversappy:

• quantity: 1
• options: Ship-to-home
• started: April 15, 2025
• availability: In Stock
• sold: 0

shipping serversappy:

• cost: $33.00
• carrier: FedEx
• class: Economy, Expedited, One-day
• transit: 2-6 Days
• service: FedEx Ground Economy, FedEx 2Day, FedEx Standard Overnight
• type: Fixed

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