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Q2N66A, HPE NVIDIA Tesla V100 SXM2, 16GB HBM2/5120 CUDA Cores/SXM2 Module

Brand: HPE
Model: Q2N66A

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Q2N66A, HPE NVIDIA Tesla V100 SXM2, 16GB HBM2/5120 CUDA Cores/SXM2 Module

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Overview

HPE Q2N66A Overview

The HPE NVIDIA Tesla V100 SXM2 16GB Module is a state-of-the-art server GPU designed for accelerating AI, deep learning, and high-performance computing (HPC) applications. As part of HPE's server range, this powerful module delivers unprecedented computational power, making it an essential component for research laboratories, data centers, and enterprises aiming to leverage the capabilities of machine learning and AI for advanced analytics and problem-solving. The V100 SXM2 is tailored for those who seek to push the boundaries of innovation and efficiency in the computational landscape.

Quick Spec
Brand	HPE
Model Name	Q2N66A
Module Type	NVIDIA Tesla V100 SXM2
Memory	16GB
Compute Performance	7.8 TeraFLOPS (double precision)

Product Features

High-bandwidth, CoWoS (Chip-on-Wafer-on-Substrate) integrated HBM2 memory that provides up to 900 GB/s memory bandwidth.
640 Tensor Cores designed to accelerate deep learning performance.
Volta architecture that offers the performance of up to 100 CPUs in a single GPU.
NVLink technology enabling high-speed, direct GPU-to-GPU communications.
Support for CUDA, OpenACC, and OpenCL programming models to facilitate development and deployment of complex models and simulations.

Product Applications

Accelerating deep learning frameworks in computational research and academic institutions.
High-Performance Computing (HPC) tasks in scientific simulations, data analytics, and engineering applications.
AI-driven applications in healthcare for real-time data processing and predictive analytics.

Supported Options
Compatible Servers	HPE ProLiant DL380 Gen10, HPE Apollo 6500 Gen10
Add-on Cooling Solutions	Additional cooling kits specific to server model
Power Adapters	Specific adapters tailored for server integration

Compare to Similar Items
NVIDIA Tesla T4	Significantly lower power consumption but less computational power
NVIDIA Quadro RTX 8000	Geared towards graphical computations with larger memory but lower FLOPS
NVIDIA Tesla P100	Previous generation with lower performance metrics across the board

Get more information

If you are interested in learning more about the HPE NVIDIA Tesla V100 SXM2 16GB Module and how it can transform your computational tasks, contact us through Live Chat or email us at [email protected] for further information and pricing details.

Quality Certifications

Specification

HPE Q2N66A Specification

Q2N66A Specifications
Brand	HPE
Product Name	NVIDIA Tesla V100 SXM2 16GB Module
Product Number	Q2N66A
Module Type	SXM2
Memory	16GB HBM2
GPU	NVIDIA Tesla V100
Memory Bandwidth	Up to 900 GB/s
NVIDIA CUDA Cores	5120
Performance	14 TFLOPS (single-precision), 7 TFLOPS (double-precision)
Form Factor	SXM2 Module for Servers
Computational Capability	Volta Architecture
Interconnect Support	NVLink
TDP	300W
Compatibility	HPE Servers
Use Case	High-Performance Computing, Deep Learning, Machine Learning, AI Research
Thermal Solution	Passive Heatsink
Interface	PCI Express Gen3 x16
Manufacturer's Warranty	Limited Warranty
Operating Systems Supported	Linux and Windows Server
API Support	CUDA, OpenCL, DirectCompute
Other Features	Volta-optimized Tensor Cores, NVLink Interconnection, High-Bandwidth Memory

Quality Certifications

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Q&A

Questions & Answers

What accessories are available for the Q2N66A HPE NVIDIA Tesla?

Accessories include compatible server chassis, cooling solutions, and power supplies designed for enhanced GPU performance.

How does the Q2N66A compare to other similar GPUs?

The Q2N66A offers advanced Tensor cores and HBM2 memory, setting it apart from older models like the P100 in terms of AI and HPC capabilities.

Is the Q2N66A compatible with all HPE servers?

The Q2N66A is compatible with HPE servers that have SXM2 slots; check server specifications for specific compatibility details.

Why should I buy from router-switch.com?

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How cost-effective is the Q2N66A HPE NVIDIA Tesla V100 SXM2?

The Q2N66A HPE NVIDIA Tesla V100 SXM2 offers a high performance-to-cost ratio, making it ideal for demanding data center applications.

What are the key features of the Q2N66A HPE NVIDIA Tesla V100?

The Q2N66A has 16GB of HBM2 memory, Tensor cores, and offers superior performance for AI and deep learning tasks.

Where can the Q2N66A HPE NVIDIA Tesla V100 be used effectively?

The Q2N66A is suitable for AI training, deep learning, HPC, and virtual desktop infrastructure (VDI) environments.

How do I install the Q2N66A HPE NVIDIA Tesla V100 SXM2 Module?

The Q2N66A can be installed in compatible servers with an SXM2 slot, following the manufacturer's installation guide for best results.

Does the Q2N66A HPE NVIDIA Tesla V100 require software upgrades?

Yes, ensure to keep the server's firmware and GPU drivers updated to optimize performance and compatibility.

Are there alternative products to the Q2N66A HPE NVIDIA Tesla?

Alternatives include the NVIDIA Tesla P100 and P40, depending on specific requirements and budget constraints.

What common troubleshooting steps are there for the Q2N66A?

Ensure proper seating in the SXM2 slot, update drivers, and monitor temperature for overheating issues.