NVIDIA
NVIDIA TITAN V VOLTA 12GB HBM2 High Performance GPU
Accelerate AI and Data Science with the NVIDIA TITAN V VOLTA The NVIDIA TITAN V VOLTA is a powerhouse GPU designed for AI, deep learning, and high-performance computing. With 640 Tensor Cores and over 21 billion transistors, it delivers unparalleled performance for both computational and data sc...
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Overview
Accelerate AI and Data Science with the NVIDIA TITAN V VOLTA
The NVIDIA TITAN V VOLTA is a powerhouse GPU designed for AI, deep learning, and high-performance computing. With 640 Tensor Cores and over 21 billion transistors, it delivers unparalleled performance for both computational and data science tasks. Experience accelerated frameworks and applications, and unlock new possibilities in AI research and development. This renewed card offers a cost-effective solution for tackling the most demanding computational challenges.
Specifications:
- Brand: NVIDIA
- Model: TITAN V VOLTA
- Memory: 12GB HBM2
- Tensor Cores: 640
- Architecture: Volta
- Deep Learning Performance: Over 100 Teraflops per second (TFLOPS)
- Interconnect Technology: Next Generation NVLink
Key Features
640 TENSOR CORES An Exponential Leap in Performance Every industry needs AI, and with this massive leap forward in speed, AI can now be applied to every industry. Equipped with 640 Tensor Cores, Volta delivers over 100 Teraflops per second (TFLOPS) of deep learning performance, over a 5X increase compared to prior generation NVIDIA Pascal architecture.
NEW GPU ARCHITECTURE Engineered for the Modern Computer Humanity’s greatest challenges will require the most powerful computing engine for both computational and data science. With over 21 billion transistors, Volta is the most powerful GPU architecture the world has ever seen. It pairs NVIDIA CUDA and Tensor Cores to deliver the performance of an AI supercomputer in a GPU.
NEXT GENERATION NVLINK Scalability for Rapid Time-to-Solution Volta uses next generation revolutionary NVIDIA NVLink high-speed interconnect technology. This delivers 2X the throughput, compared to the previous generation of NVLink. This enables more advanced model and data parallel approaches for strong scaling to achieve the absolute highest application performance.
VOLTA-OPTIMIZED SOFTWARE GPU-Accelerated Frameworks and Applications Data scientists are often forced to make trade-offs between model accuracy and longer run-times. With Volta-optimized CUDA and NVIDIA Deep Learning SDK libraries like cuDNN, NCCL, and TensorRT, the industry’s top frameworks and applications can easily tap into the power of Volta. This propels data scientists and researchers towards discoveries faster than before.
Specifications
GPU Architecture
Volta
Memory
12GB HBM2
Tensor Cores
640
Deep Learning Performance
Over 100 TFLOPS
Transistors
Over 21 billion
Interconnect Technology
Next Generation NVLink (2X throughput vs. previous gen)
Software Optimization
Volta-optimized CUDA, NVIDIA Deep Learning SDK (cuDNN, NCCL, TensorRT)
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Pros & Cons
👍 Pros
- Equipped with 640 Tensor Cores, it achieves over 100 Teraflops per second (TFLOPS) of deep learning performance, a significant increase from prior generations.
- Features the Volta GPU architecture with over 21 billion transistors, providing substantial computational power for AI supercomputing.
- Incorporates next-generation NVIDIA NVLink high-speed interconnect technology, delivering 2X the throughput compared to previous NVLink.
- Optimized with Volta-optimized CUDA and NVIDIA Deep Learning SDK libraries like cuDNN, NCCL, and TensorRT for accelerated frameworks.
- Leverages NVIDIA CUDA and Tensor Cores together, offering a powerful engine for both computational and data science.
👎 Cons
- The 12GB HBM2 memory, while advanced, may not be sufficient for the largest and most complex deep learning models that demand even greater memory.
- As a high-performance GPU, the TITAN V likely comes with a premium price point, making it less accessible for budget-conscious users.
- Its advanced capabilities are primarily geared towards specific high-end computational and data science tasks, potentially being overkill for general computing.
- The power consumption and thermal output of such a powerful GPU could be substantial, requiring robust cooling solutions in a system.
- The "Exponential Leap in Performance" is relative to prior generation NVIDIA Pascal architecture, not necessarily to the very latest architectures.
Frequently Asked Questions
How much deep learning performance does the NVIDIA TITAN V offer?
The NVIDIA TITAN V, equipped with 640 Tensor Cores, delivers over 100 Teraflops per second (TFLOPS) of deep learning performance, representing a significant leap over previous architectures.
What is the GPU architecture used in the TITAN V?
The TITAN V utilizes NVIDIA's Volta GPU architecture, which is engineered for modern computing with over 21 billion transistors.
What kind of memory does this GPU have?
This high-performance GPU features 12GB of HBM2 memory, providing high bandwidth crucial for data-intensive applications.
Does the TITAN V support high-speed interconnects?
Yes, it uses next-generation NVIDIA NVLink technology, which offers twice the throughput compared to the previous generation of NVLink, enhancing scalability for complex tasks.
Is specific software optimization available for this GPU?
The TITAN V is optimized for Volta-specific software, including CUDA and NVIDIA Deep Learning SDK libraries such as cuDNN, NCCL, and TensorRT, to accelerate data science and research.
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