Nvidia 699-2G500-0212-400 Tesla V100 32GB GPU Accelerator Card

Nvidia Tesla V100 Redefining Computational Acceleration

The Nvidia Tesla V100 GPU, including models like the 699-2G500-0212-400, is a groundbreaking computational accelerator built for deep learning, data analytics, and scientific computing. With its 32GB of HBM2 memory and advanced PCIe interface, this card sets new standards in high-performance computing (HPC). This subcategory of GPUs is an essential tool for researchers, engineers, and AI practitioners aiming to push boundaries.

Performance-Driven Architecture

Volta Architecture

The Tesla V100 is built on Nvidia’s revolutionary Volta architecture, which boasts over 21 billion transistors. This architecture provides unmatched parallel processing power, making it ideal for compute-heavy workloads such as neural networks and simulations.

Tensor Cores for AI Acceleration

One of the key features of the Tesla V100 is its 640 Tensor Cores, which enable mixed-precision computing. These cores significantly accelerate matrix operations, the backbone of deep learning algorithms. The result is faster training times for AI models and superior inference performance.

HBM2 Memory Technology

The 32GB HBM2 memory in the 699-2G500-0212-400 variant delivers an exceptional memory bandwidth of up to 900 GB/s. This allows the card to handle massive datasets, whether for AI model training, big data analytics, or scientific visualization.

Applications of the Tesla V100 GPU

Deep Learning and AI

Designed to accelerate deep learning workflows, the Tesla V100 is a favorite in AI research and deployment. Its advanced Tensor Core technology enables seamless training of models in frameworks like TensorFlow, PyTorch, and Keras.

High-Performance Computing

The Tesla V100 excels in HPC environments, handling simulations, computational chemistry, and fluid dynamics with unparalleled speed and precision. Its ability to perform double-precision (FP64) calculations makes it indispensable for scientific research.

Data Analytics

Big data applications benefit from the Tesla V100’s high throughput and efficiency. Whether it’s processing terabytes of structured data or running real-time analytics, this GPU delivers consistent performance.

Key Features of the 699-2G500-0212-400 Tesla V100

PCIe Interface

The PCIe 3.0 x16 interface ensures compatibility with a wide range of server and workstation configurations. Its robust design facilitates stable, high-speed data transfers, even in multi-GPU setups.

Enhanced Thermal Design

Efficient cooling mechanisms in the Tesla V100 maintain optimal performance under heavy loads. This ensures reliability in data centers and minimizes downtime during critical operations.

Software Ecosystem

The Tesla V100 integrates seamlessly with Nvidia CUDA, cuDNN, and other GPU-accelerated libraries, providing developers with an extensive ecosystem for performance tuning and application optimization.

Choose Tesla V100 for Enterprise 

Scalability

The Tesla V100 supports multi-GPU configurations, allowing enterprises to scale computational power based on their needs. Whether deploying in clusters or standalone servers, this card is built to adapt.

Energy Efficiency

Despite its immense power, the Tesla V100 is energy efficient, making it a sustainable choice for enterprises aiming to minimize operational costs.

Future-Proofing

With its state-of-the-art features, the Tesla V100 is a future-proof investment for organizations. Its compatibility with next-gen frameworks and workloads ensures long-term value.

Related Categories and Alternatives

Other Nvidia Tesla Cards

The Tesla V100 is part of a broader range of Nvidia Tesla GPUs, including the A100 and T4 models, which cater to diverse workloads and budgets.

Comparison with Consumer GPUs

While consumer GPUs like the RTX series offer great performance, the Tesla V100 is tailored for professional applications. It outshines in scenarios requiring precision, scalability, and reliability.