Dedicated Server with Tesla K80, Tesla K80 GPU Hosting

Enables GPU threads to automatically spawn new threads. By adapting to the data without going back to the GPU, this greatly simplifies parallel programming.

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.

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.

Use our hosted Tesla K80 server to accelerates algorithms such as physics solvers, ray tracing, and sparse matrix multiplication where data addresses are not known beforehand.

The GPU card in the hosted Tesla K80 server 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 and K40.

Turbocharges system performance by transferring data over the PCIe bus while the computing cores are crunching other data.

Our hosted Tesla K80 server enables the end-user to convert power headroom to higher clocks and achieve even greater acceleration for various HPC workloads.

Dynamically scales GPU clocks for maximum application performance and improved energy efficiency.

With the hosted Tesla K80 server, users have the freedom to choose OpenACC, CUDA toolkits for C, C++, or Fortran to express application parallelism and take advantage of the innovative Kepler architecture.

Increases data center energy efficiency by powering down idle GPUs when running legacy nonaccelerated workloads.

Increases effective throughput and bandwidth with 2x shared memory and 2x register file compared to the K40.