HPE R0W29C NVIDIA Tesla T4 16GB グラフィックカード、PCゲームアクセラレータ ブランド名:HPE ブランド名を翻訳:HPE(ヒューレット・パッカード・エンタープライズ)

NVIDIA Tesla T4 16GB graphics card showing silver heatsink with green accents and PCIe interface-alternate-image1
Internal view of NVIDIA Tesla T4 showing copper heat pipes and aluminum heatsink array-alternate-image2

HPE R0W29C NVIDIA Tesla T4 16GB グラフィックカード、PCゲームアクセラレータ ブランド名:HPE ブランド名を翻訳:HPE(ヒューレット・パッカード・エンタープライズ)

HPE R0W29C

₦12,299,500.00 ₦13,125,700.00 Save ₦826,200
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製品の主な特長

  • 🎮 NVIDIA Tesla T4 GPU for high-performance computing
  • 💾 16GB GDDR6 memory for intensive workloads
  • ⚡ Designed for HPE ProLiant servers optimization
  • 🖥️ Supports PC platform with parallel processing
  • 🔧 Single GPU configuration for focused performance
  • 📊 HPE Insight CMU monitoring capabilities
  • 🎯 Compact design: 11.5" x 15" x 19.3"
  • ⚖️ Lightweight at 1.28 lb for easy installation
₦12,299,500.00
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HPE R0W29C NVIDIA Tesla T4 16GB グラフィックカード、PCゲームアクセラレータ ブランド名:HPE ブランド名を翻訳:HPE(ヒューレット・パッカード・エンタープライズ)

This item: HPE R0W29C NVIDIA Tesla T4 16GB グラフィックカード、PCゲームアクセラレータ ブラ...

₦12,299,500.00

Total price: ₦12,299,500.00
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HPE

R0W29C

HPE NVIDIA Tesla T4 16GB GDDR6 Computational Accelerator for ProLiant Servers

Experience unprecedented computational acceleration with the HPE R0W29C NVIDIA Tesla T4 16GB Graphics Card. This high-performance computational accelerator is specifically engineered for HPE ProLiant servers, featuring advanced GDDR6 memory technology and optimized architecture for parallel processing tasks.

Advanced GPU Architecture and Memory Specifications

  • NVIDIA Tesla T4 architecture for superior computational performance
  • 16GB GDDR6 memory for handling large-scale data processing
  • Single GPU configuration optimized for server environments
  • PC platform compatibility for versatile deployment options

Physical Specifications and Installation

Dimension Measurement
Height 11.5 inches
Width 15 inches
Length 19.3 inches
Weight 1.28 pounds

Enterprise-Grade Management and Monitoring

The Tesla T4 integrates seamlessly with HPE Insight Cluster Management Utility (CMU), providing comprehensive GPU health monitoring, temperature tracking, and streamlined driver installation. This enterprise-grade solution enables NVIDIA GRID software deployment through HPE Complete, ensuring optimal performance in virtualized environments.

Application Performance and Capabilities

Designed for parallel computing tasks, this accelerator significantly reduces completion times for computational workloads. The co-location capability with computational servers enables efficient sharing of large data sets, resulting in enhanced display refresh rates and improved overall system performance.

より速く問題を解決するためのパフォーマンス向上

HPE ProLiant サーバー向けのNVIDIAアクセラレータは、計算パフォーマンスを向上させ、並列タスクの完了時間を劇的に短縮し、ソリューションまでの時間を短縮します。

NVIDIA Quadro®またはNVIDIA GRID GPUを計算サーバーと共有することで、大規模なデータセットを共有し、表示のリフレッシュ率を劇的に向上させることができます。

これらのGPUは、仮想化環境で豊かなグラフィックスを可能にするように設計されています。Hewlett Packard Enterpriseは、NVIDIA GRIDソフトウェアをHPE Complete経由で提供できます。

NVIDIAアクセラレータは、HPE Insight Cluster Management Utility (CMU)によって構成および監視されます。HPE Insight CMUは、GPUの健康状態や温度を監視・表示し、GPUドライバーおよびCUDAソフトウェアをインストールおよびプロビジョニングします。

Return Policy

Time to Return

Standard Return Policy

We offer a hassle-free 30-day returns policy for domestic (US) orders, excluding non-refundable items. Refund or Replacement within 30 days of the delivery date. All products that fall under the Standard Return Policy qualify for our 30-Day Hassle-Free Returns. Please see the section above for more details.

Replacement Only Return Policy

Replacement within 30 days of the delivery date.

Manufacturer Only Return Policy

Covered by the manufacturer's warranty. Please refer to the terms and conditions for the manufacturer's warranty or contact the manufacturer.

Holiday Extended Return Policies

Extended Holiday Return Policy.

Qualifying purchases of products displaying the " Extended Holiday Return Policy ", from November 1st, 2023 to December 25, 2023, are eligible for a Refund or Replacement until January 31, 2024.


Extended Holiday Replacement-Only Return Policy

Qualifying purchases of products displaying the " Extended Holiday Replacement-Only Return Policy ", from November 1st, 2023 to December 25, 2023, are eligible for a Replacement until January 31, 2024.

NVIDIA Tesla T4 16GB graphics card showing silver heatsink with green accents and PCIe interface

High-Performance Tesla T4 with Advanced Cooling Design

The NVIDIA Tesla T4 accelerator showcases a sleek industrial design with its silver heatsink and distinctive green accents. The single-slot form factor maximizes server density while providing enterprise-grade computational power. The advanced thermal design incorporates premium materials and precision engineering to maintain optimal operating temperatures under intensive workloads.

Technical Specifications

  • Single-slot PCIe form factor for space-efficient deployment
  • 16GB GDDR6 memory for demanding computational tasks
  • Passive cooling system optimized for server environments

Applications

  • AI inference acceleration in data centers
  • High-performance computing workload processing
  • Virtual desktop infrastructure acceleration
Internal view of NVIDIA Tesla T4 showing copper heat pipes and aluminum heatsink array

Advanced Thermal Architecture for Sustained Performance

The internal view reveals the Tesla T4's sophisticated cooling system, featuring precision-engineered copper heat pipes and dense aluminum fin arrays. This thermal solution enables consistent performance for intensive computational workloads while maintaining optimal operating temperatures. The carefully arranged components demonstrate HPE's attention to thermal efficiency and reliability in enterprise environments.

Technical Specifications

  • Multiple copper heat pipes for efficient heat distribution
  • High-density aluminum fin array for maximum heat dissipation
  • Enterprise-grade component layout for optimal airflow

Applications

  • 24/7 data center operations
  • Machine learning model deployment
  • Real-time video processing and analytics
よくある質問
The HPE R0W29C features NVIDIA's Tesla T4 GPU with 16GB of GDDR6 memory. It's designed as a computational accelerator for HPE ProLiant servers, offering high-performance parallel processing capabilities. The card measures 11.5" in height, 15" in width, and 19.3" in length, weighing approximately 1.28 pounds.
The NVIDIA Tesla T4 accelerator is primarily designed to improve computational performance in HPE ProLiant servers. It significantly reduces completion time for parallel tasks and enables faster solution delivery. The card also supports rich graphics in virtualized environments and can be used for GPU-accelerated workloads.
The HPE R0W29C Tesla T4 comes with 16GB of GDDR6 memory. This high-performance memory technology is specifically designed to handle demanding computational workloads and support accelerated computing applications.
The Tesla T4 accelerator can be managed through HPE Insight Cluster Management Utility (CMU). This tool provides comprehensive monitoring capabilities, including GPU health and temperature tracking. It also facilitates the installation and provisioning of GPU drivers and CUDA software.
The HPE R0W29C has the following dimensions: 11.5 inches in height, 15 inches in width, and 19.3 inches in length. The card weighs approximately 1.28 pounds (0.58 kg), making it a substantial but manageable component for server installations.
The HPE R0W29C is designed for PC platforms, specifically optimized for HPE ProLiant servers. It's engineered to work within enterprise computing environments and can be integrated with existing HPE server infrastructure.
When co-locating the Tesla T4 with computational servers, it enables efficient sharing of large data sets and dramatically improves display refresh rates. This capability is particularly beneficial for data-intensive applications and visualization workloads in virtualized environments.
NVIDIA GRID software licensing for the Tesla T4 is available through HPE Complete program. This ensures users have access to the necessary software infrastructure to fully utilize the card's capabilities in virtualized environments and computational workloads.

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