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Dedicated Tesla K80 Hosting Pricing

Cheap dedicated servers with Tesla K80 GPU come with dual 10-Core E5-2660v2 and 128GB RAM accelerating your most demanding single and double precision workloads.

Basic GPU Dedicated Server - K80

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

64GB RAM
GPU: Nvidia Tesla K80
Eight-Core Xeon E5-2690
120GB + 960GB SSD
100Mbps-1Gbps
OS: Windows / Linux

Single GPU Specifications:
Microarchitecture: Turing
CUDA Cores: 4992
GPU Memory: 24GB GDDR5
FP32 Performance: 8.73 TFLOPS

1mo3mo12mo24mo

$ 109.00/mo

Purchase a Computer with GPU VS. Rent a GPU Server

Which one suits you better?

Renting GPUs

High performance as local GPU Servers

Excellent when equipped with adequate hardware

Low Cost

Expensive

Managed by hosting provider

Need extra cost when updating

GPU instance can be turned on or off at any time, and upgrade or downgrade depending on your hardware needs.

Once your research or project ends, you may be left with a high-powered machine with nothing to do.

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.

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.

Purchasing GPUs

High performance as local GPU Servers

Excellent when equipped with adequate hardware

Low Cost

Expensive

Managed by hosting provider

Need extra cost when updating

GPU instance can be turned on or off at any time, and upgrade or downgrade depending on your hardware needs.

Once your research or project ends, you may be left with a high-powered machine with nothing to do.

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.

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.

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

Memory Bandwidth

480 GB/s

CUDA Cores

4,992

Memory

24GB GDDR5 with ECC

TDP

300W

System Interface

PCI Express Gen 3 x 16

Memory Bus Width

384 bit

GPU Clock speed

562 MHz

Memory Clock Speed

5000 MHz

FP32 (float)

8.74 TFLOPS

FP64 (double)

2.91 TFLOPS

Graphics Features

DirectX

12 (11_1)

Shader Model

6.5

Vulkan

1.2

CUDA

3.7

OpenCL

3.0

OpenGL

4.6

Benchmark

GeekBench 5 CUDA

16063

GPU Features in Tesla K80 GPU 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

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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

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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

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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

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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

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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

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

GPU Boost

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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

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

Flexible Programming Environment with Broad Support of Programming Language and APIs

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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

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

2x Shared Memory and 2x Register File

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

What Can Be Run on Tesla K80 Dedicated Servers?

Alternatives to the Tesla K80 GPU Server

Multiple GPU dedicated servers to choose from to meet your needs.

RTX A4000 Hosting

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

Tesla K40 Hosting

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

RTX A5000 Hosting

Achieve an excellent balance between function, performance, and reliability. Assist designers, engineers, and artists to realize their visions.

Dedicated Server with Tesla K80, Tesla K80 GPU Hosting