NVIDIA’s (NASDAQ: NVDA) invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world.
In 2006, the creation of the CUDA programming model and Tesla GPU platform opened up the parallel-processing capabilities of the GPU to general-purpose computing. A powerful new approach to computing was born.
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Accelerating Data Center Workloads with GPUs
From scientific discoveries to artificial intelligence, modern data centers are key to solving some of the world’s most important challenges. The NVIDIA Volta accelerated computing platform gives these data centers the power to accelerate both artificial intelligence and high performance computing workloads.
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NVIDIA® Tesla®: The world’s leading platform for the accelerated data center
Accelerating scientific discovery, visualizing big data for insights, and providing smart AI-based services to the enterprise are everyday challenges for researchers and engineers. Solving these challenges takes increasingly complex and precise simulations, the processing of tremendous amounts of data, or training and running sophisticated deep learning networks. These workloads also require accelerating data centers to meet the growing demand for exponential computing.
NVIDIA® Tesla® is the world’s leading platform for the accelerated data center, deployed by the largest supercomputing centers and enterprises. It enables breakthrough performance with fewer, more powerful servers, resulting in faster scientific discoveries and insights while saving money.
NVIDIA Tesla is also the world’s fastest, most efficient data center platform for inference. Tesla provides the optimal inference solution—combining the highest throughput, best efficiency, and best flexibility to power AI-driven experiences.
With over 550 HPC applications GPU-optimized in a broad range of domains, including 15 of the top 15 HPC applications, and all deep learning frameworks, every modern data center can save money with the Tesla platform.
Given the increasingly broad spectrum of data center applications, NVIDIA has gone to great lengths to provide you with the data center products most appropriate for you. As such, the NVIDIA Tesla data center platform features products to account for virtually every data center need, including:
- NVIDIA Tesla V100 for NVIDIA® NVLink™
- NVIDIA Tesla V100 for PCIe
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Tesla V100 GPU
At the 2018 GPU Technology Conference (GTC18), it was announced that the memory capacity of the NVIDIA® Tesla® V100 GPU – widely adopted by the world’s leading researchers – was doubled to handle the most memory-intensive deep learning and high performance computing workloads.
Now equipped with 32GB of memory, Tesla V100 GPUs will help data scientists train deeper and larger deep learning models that are more accurate than ever. They can also improve the performance of memory-constrained HPC applications by up to 50 percent compared with the previous 16GB version.