NVIDIA Tesla - One Platform, Unlimited Datacentre Acceleration

Posted on 19 June, 2018
The most advanced data centre GPU ever

Accelerating scientific discovery, visualising big data for insights, and providing smart AI-based services to consumers 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 datacentres to meet the growing demand for exponential computing.

NVIDIA® Tesla® is the world’s leading platform for the accelerated datacentre, deployed by the largest supercomputing centres and enterprises. It enables breakthrough performance with fewer, more powerful servers, resulting in faster scientific discoveries and insights while saving money.
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 datacentre can save money with the Tesla platform.


Tesla V100 Specifications [click to enlarge]:

Tesla V100 Form Factors

Tesla V100 for NVLink: Ultimate performance for deep learning
Tesla V100 for PCIe: Highest versatility for all workloads

NVIDIA Tesla V100 - 3 Reasons Why - Datasheet

NVIDIA Tesla V100 powered by NVIDIA Volta™ architecture is the computational engine for scientific computing and artificial intelligence.

Here are 3 powerful reasons to deploy NVIDIA Tesla V100 GPUs to your data center:
1. Be prepared for the AI revolution
2. Top applications are GPU-accelerated
3. Boost data center productivity and throughput


Three reasons to deploy nvidia tesla v100 in your datacentre

NVIDIA Tesla V100 - Datasheet

NVIDIA® Tesla® V100 is the world’s most advanced data center GPU ever built to accelerate AI, HPC, and
Graphics. Powered by the latest GPU architecture, NVIDIA Volta™, Tesla V100 offers the performance of
100 CPUs in a single GPU—enabling data scientists, researchers, and engineers to tackle challenges that
were once impossible.



Tags: NVIDIA, AI, Deep Learning, Machine Learning, Tesla, V100, CPU, GPU, Intel Xeon, CUDA, Tensor Cores, Reasons Why

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