Dedicated Nvidia Tesla K80 Hosting

Tesla K80 Hosting

Updated on October 28, 2021

Written by Database Mart

Rent the GPU dedicated servers with this Tesla K80 GPU Accelerator for the most demanding computational tasks. With features like dual-GPU design and Dynamic GPU Boost, Tesla K80 is built to deliver superior performance in many HPC applications.

Dedicated Tesla K80 Hosting Pricing

Tesla K80 GPU pairs with dual 10-Core E5-2660v2 and 128GB RAM accelerating your most ddemanding single and double precision workloads.

Professional GPU Server

Nvidia Tesla K80

Hot Sale

For High-performance computing and large data workloads, such as deep learning and AI reasoning.

GPU: Nvidia Tesla K80

CUDA Cores: 4992

GPU Memory: 24GB

Performance: 8.73 TFLOPS

128 GB RAM

Dual 10-Core E5-2660v2

120GB SSD + 960GB SSD

100Mbps Unmetered Bandwidth

$ 159.00/m

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Purchase a Computer with GPU VS. Rent a GPU Server

Which one suits you better?

Purchasing GPUs

Excellent when equipped with adequate hardware
Expensive
Need extra cost when updating
Once your research or project ends, you may be left with a high-powered machine with nothing to do.
You cannot guarantee that your local computer will be turned on 24 hours a day, nor can you resist an unexpected power outage that may cause your machine to fail.

Renting GPUs

High performance as local GPU Servers
Low Cost
Managed by hosting provider
GPU instance can be turned on or off at any time, and upgrade or downgrade depending on your hardware needs.
99.9% uptime and 24*7 expert hardware monitoring ensure the stable operation of your applications and services, so that your users can have a better experience.

Nvidia Tesla K80 Specifications & Benchmark

Equipped with the latest NVIDIA GPU Boost™ technology, the GPU card in the hosted Tesla K80 server intelligently monitors GPU usage to maximize throughput1 and outperforms CPUs by up to 10x2.

Specifications

GPU Microarchitecture Kepler

CUDA Cores 4,992

TDP 300W

Memory Bus Width 384 bit

Memory Clock Speed 5000 MHz

Memory Bandwidth 480 GB/s

Memory 24GB GDDR5 with ECC

System Interface PCI Express Gen 3 x 16

GPU Clock speed 562 MHz

Performance 8.73 TFLOPS

Benchmark

GeekBench 5 CUDA 16063

GPU Features in Tesla K80 Hosting Server

Built on the NVIDIA Ampere architecture, the NVIDIA Tesla K80 delivers the power, performance, capabilities, and reliability professionals need to bring their boldest ideas to life.

Dynamic Parallelism

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

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

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

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.

Memory Error Protection

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.

Asynchronous Transfer with Dual DMA Engines

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

GPU Boost

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

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

Flexible Programming Environment with Broad Support of Programming Language and APIs

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.