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Accelerating the Most Important Work of Our Time

The NVIDIA A100 Tensor Core GPU delivers unprecedented acceleration at every scale for AI, data analytics, and high-performance computing (HPC) to tackle the world’s toughest computing challenges. As the engine of the NVIDIA data center platform, A100 can efficiently scale to thousands of GPUs or, with NVIDIA Multi-Instance GPU (MIG) technology, be partitioned into seven GPU instances to accelerate workloads of all sizes. And third-generation Tensor Cores accelerate every precision for diverse workloads, speeding time to insight and time to market.

Topics to be covered during the Webinar:-

  • Ampere Architecture
  • AI Specific H/W Acceleration with 3rd Gen Tensor Cores & Structural Sparsity
  • Multi-Instance GPU (MIG)
  • DGX A100 – Universal System for AI Infrastructure
  • Data Center Scalability with NVLINK & NVSWITCH

Pallab Maji

Senior Solutions Architect – Deep Learning at NVIDIA

Pallab Maji is a “Senior Solutions Architect – Deep Learning” at NVIDIA working with System Integrators & Cloud Service Providers. His research interest lies in design and development of perception modules for autonomous systems, focusing mostly on Computer Vision, Natural Language Processing and Machine Learning. He holds a Doctoral degree in Artificial Intelligence and Master’s in Signal Processing from National Institute of Technology, Rourkela, India.

  • Webinar Registration

Accelerating the Most Important Work of Our Time

The NVIDIA A100 Tensor Core GPU delivers unprecedented acceleration at every scale for AI, data analytics, and high-performance computing (HPC) to tackle the world’s toughest computing challenges. As the engine of the NVIDIA data center platform, A100 can efficiently scale to thousands of GPUs or, with NVIDIA Multi-Instance GPU (MIG) technology, be partitioned into seven GPU instances to accelerate workloads of all sizes. And third-generation Tensor Cores accelerate every precision for diverse workloads, speeding time to insight and time to market.

Topics to be covered during the Webinar:-

  • Ampere Architecture
  • AI Specific H/W Acceleration with 3rd Gen Tensor Cores & Structural Sparsity
  • Multi-Instance GPU (MIG)
  • DGX A100 – Universal System for AI Infrastructure
  • Data Center Scalability with NVLINK & NVSWITCH

Pallab Maji

Senior Solutions Architect – Deep Learning at NVIDIA

Pallab Maji is a “Senior Solutions Architect – Deep Learning” at NVIDIA working with System Integrators & Cloud Service Providers. His research interest lies in design and development of perception modules for autonomous systems, focusing mostly on Computer Vision, Natural Language Processing and Machine Learning. He holds a Doctoral degree in Artificial Intelligence and Master’s in Signal Processing from National Institute of Technology, Rourkela, India.