NVIDIA Tesla K80 - GPU computing processor - 2 GPUs - Kepler - 24 GB GDDR5 - PCIe 3.0 x16

NVIDIA Tesla K80 - GPU computing processor - 2 GPUs - Kepler - 24 GB

Key Features and Benefits:

• Dynamic parallelism
  It enables GPU threads to automatically spawn new threads. By adapting to the data without going back to the GPU, this greatly simplifies parallel programming.
• Hyper-Q
  It allows multiple CPU cores to simultaneously use the CUDA cores on a single or multiple Kepler-based GPUs. This dramatically increases GPU utilization, simplifies programming, and slashes CPU idle times.
• System monitoring
  It integrates the GPU subsystem with the host system's monitoring and management capabilities, such as IPMI or OEM-proprietary tools. IT staff can now manage the GPU processors in the computing system using widely used cluster/grid management solutions.
• L1 and L2 caches
  It accelerates algorithms such as physics solvers, ray tracing, and sparse matrix multiplication where data addresses are not known beforehand.
• Memory error protection
  It meets a critical requirement for computing accuracy and reliability in data centers and supercomputing centers. Both external and internal memories are ECC protected in the Tesla K80.
• Asynchronous transfer with dual DMA engines
  It turbocharges system performance by transferring data over the PCIe bus while the computing cores are crunching other data.
• GPU Boost
  It enables the end-user to convert power headroom to higher clocks and achieve even greater acceleration for various HPC workloads.
• Zero-power idle
  It increases data center energy efficiency by powering down idle GPUs when running legacy nonaccelerated workloads.

What's Included:

• NVIDIA Tesla K80
• 2x 8-pin PCIe to single 8-pin CPU convertor