Tesla K80 Hosting

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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

For High-performance computing and large data workloads, such as deep learning and AI reasoning.
GPU:Nvidia Tesla K80
Max GPU: 2
CUDA Cores: 4992
GPU Memory: 24GB
Performance: 8.73 TFLOPS
128 GB RAM
Dual 10-Core E5-2660v2
120GB SSD + 960GB SSD
100Mbps-1Gbps Bandwidth
Supported OS : Linux Only
$ 159.00/m

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
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.

Zero-power Idle

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

2x Shared Memory and 2x Register File

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

What Can Be Run on Tesla K80 Hosting Servers?

Autodesk 3DS MAX

Adobe Photoshop

Adobe Premiere PRO

Theano

Sony Vegas Pro

FastROCS

OpenFOAM

MapD

AMBER

GAMESS

CAFFE

CHROMA

Alternatives to the Tesla K80 Hosting Server

Multiple GPU dedicated servers to choose from to meet your needs.
RTX A4000 Hosting

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For professionals. It delivers real-time ray tracing, AI accelerated computing, and high-performance graphics to desktops.

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Tesla K40 Hosting

Tesla K40 Hosting

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

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