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the exponential growth of computing

Accelerating scientific discovery, visualizing big data for insights, and providing smart 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 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 accelerated data centers, deployed by some of the world’s largest supercomputing centers and enterprises.

It combines GPU accelerators, accelerated computing systems, interconnect technologies, development tools, and applications to enable faster scientific discoveries and big data insights.

At the heart of the NVIDIA Tesla platform are the massively parallel GPU accelerators that provide dramatically higher throughput for compute-intensive workloads—without increasing the power budget and physical footprint of data centers.

choose the right nvidia tesla solution for you

  • workload
  • mixed-workload hpc
  • hyperscale hpc
  • enterprise virtualization
  • used by
  • Supercomputing, Academia, Government
  • Oil and Gas
  • artificial intelligence / deep learning
  • design and manufacturing, architecture engineering and constructions, defense, higher education
  • optimized for
  • Time to Insight
  • imaging accuracy
  • training time
  • jobs/second/watt
  • graphics accelerated virtual desktops and applications
  • workload profile
  • mixed workload
  • specific applications such as rtm
  • deep learning frameworks such as caffe and tensorflow
  • mixed inference workloads such as image, video, or data processing
  • flexible deployments: user experience/ graphics performance vs concurrent user density
  • key requirements
  • performance (double- and single-precision)

    memory size and bandwidth

    interconnect bandwidth

  • performance(single-precision)

    memory size per gpu

    interconnect bandwidth

  • power footprint

    form factor

  • virtual graphics (vGPU)

    graphics accelerated applications delivered anywhere, on any device

    server form factor : rack and blade

  • recommended solutions
  • mixed workloads



  • training



  • inference



  • rack form factor



  • blade form factor