RTX A4000 Hosting
For professionals. It delivers real-time ray tracing, AI accelerated computing, and high-performance graphics to desktops.
Dedicated Server with Tesla K80, Tesla K80 GPU Hosting
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
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.
Discounts on Previous-Generation Models
Basic GPU Dedicated Server - K80
For high-performance computing and large data workloads, such as deep learning and AI reasoning.
- 64GB RAM
- Eight-Core Xeon E5-2690
- 120GB + 960GB SSD
- 100Mbps-1Gbps
- OS: Windows / Linux
- GPU: Nvidia Tesla K80
- Microarchitecture: Turing
- CUDA Cores: 4992
- GPU Memory: 24GB GDDR5
- FP32 Performance: 8.73 TFLOPS
Purchase a Computer with GPU VS. Rent a GPU Server
Which one suits you better?
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
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
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 Dedicated Servers?
Alternatives to the Tesla K80 GPU Server
Multiple GPU dedicated servers to choose from to meet your needs.
Tesla K40 Hosting
For High-performance computing and large data workloads, such as deep learning and AI reasoning.
RTX A5000 Hosting
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