Top 9 best nvidia tesla k20 2024
Finding the best nvidia tesla k20 suitable for your needs isnt easy. With hundreds of choices can distract you. Knowing whats bad and whats good can be something of a minefield. In this article, weve done the hard work for you.
Best nvidia tesla k20
1. NVIDIA Tesla K20 - 5 GB GPU Server Accelerator Processing Unit Passive Cooling 900-22081-0010-000
Feature
Number of GPUs 1 x GK110Memory size (GDDR5) 5GB
CUDA cores 2496
Peak double precision floating point performance 1.17 Tflops
Peak single precision floating point performance 3.52 Tflops
Description
NVIDIA Tesla K20 900-22081-0010-000 GPU Passive Accelerator Board - Memory Size: 5GB GDDR5, Memory Bandwidth: 208 GB/s, CUDA Cores: 2496, Graphics Bus: PCI Express 2.0 x16.2. NVIDIA Tesla M4 GPU computing processor - Tesla M4 - 4 GB - By NETCNA
Feature
Pulled from functioning environment. Fully covered by A to Z warrantySame day shipping if purchased before 4PM CST, Monday through Friday
One year end user warranty
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Description
HP P9U90A HPE NVIDIA TESLA M4 4GB ACCELERATOR3. NVIDIA Tesla K20 - 5 GB Computing Accelerator GPU Graphics Processing Unit Active Cooling C2J97AA
Feature
Number of GPUs: 1 x GK110Memory size (GDDR5): 5 GB
CUDA cores: 2496
Peak double precision floating point performance: 1.17 Tflops
Peak single precision floating point performance: 3.52 Tflops
Description
NVIDIA Tesla GPU Accelerators turn standard PCs and workstations into personal supercomputers. Powered by CUDA - the world's most pervasive parallel-computing model Tesla GPU Accelerators for workstations deliver cluster level performance right at your desk.4. Nvidia Tesla K80 24GB GDDR5 CUDA Cores Graphic Cards
Feature
Nvidia Tesla K80 GPU: 2x Kepler GK210Memory size (GDDR5) : 24GB (12GB per GPU)
CUDA cores: 4992 ( 2496 per GPU)
Memory bandwidth: 480 GB/sec (240 GB/sec per GPU)
2.91 Tflops double precision performance with NVIDIA GPU Boost - See more at: http://www.nvidia.com/object/tesla-servers.html#sthash.IF5LVwFq.dpuf
Description
NVIDIA Tesla K80 900-22080-0000-000 Passive Computing Accelerators - Memory Size: 24GB GDDR5 (12GB per GPU), , GPU: 2x Kepler GK210, Memory Bandwidth: 480 GB/sec (240 GB/sec per GPU), CUDA Cores: 4992 (2496 per GPU).5. NVIDIA Tesla K20X
Feature
NVIDIA TESLA K20X 6GB KEPLER GPUDescription
NVIDIA Tesla K20x 900-22081-0030-000 GPU Passive Accelerator Board - Memory Size: 6GB GDDR5, Memory Bandwidth: 250 GB/s, CUDA Cores: 2688, Graphics Bus: PCI Express 2.0 x16.6. Dell HHCJ6 NVIDIA Tesla K80 24GB GDDR5 PCI-E 3.0 Server GPU Accelerator (Certified Refurbished)
Feature
This Certified Refurbished product has been tested and certified to work and look like new, with minimal to no signs of wear, by a specialized third-party seller approved by Amazon. The product is backed by a minimum 90-day warranty, and may arrive in a generic brown or white box. Accessories may be generic and not directly from the manufacturer.Dell Nvidia Tesla K80 GPU (Nvidia Part Number: 900-22080-0000-000)
Memory size (GDDR5): 24GB
CUDA cores: 4992
Delivers 5-10x Boost In Key Application Performance for applications such as STAC-A2, RTM, SPECFEM3D, CAFFE, miniFEE, LSMS, Cloverleaf, CHROMA, Quantum Espresso, QMCPACK, HOOMD- Blue, NAMD, LAMMPS, GROMACS, AMBER
Description
NVIDIA Part Number: 900-22080-0000-000Number Of GPUs: 2x GK120 GPUs
Cuda Cores: 2496 Processor Cores (1248 Cores per GPU)
Base Cared Clock: 560MHz
Boost Core Clock: 562MHz to 875 MHz
Memory Clock: 2.5GHz
Memory Configuration: 24GB (12GB per GPU)
Memory Interface: GDDR5
Memory Interface width: 384 Bit
Memory Bandwidth: 480GB/s
Physical Bus Interface: PCI-E 3.0x 16
Power Connectors: 1x 8-Pin
This is a server GPU for datacenters. It does not have an inbuilt fan - it requires active cooling and thus should not be used in workstations unless cooling is GPU grade. It is compatible with the following Dell servers: R730, T630, R730XL, R730xd, R7425, C4130. Feel free to reach out if you need to confirm system compatibility!
7. NVIDIA Tesla C2050 Computing Processor
Feature
Parallel computingDescription
Nvidia Tesla C2050 GPU8. NVIDIA Tesla P100 GPU computing processor - Tesla P100 - 16 GB - Centernex update
Feature
Exponential Performance Leap with Pascal Architecture - The NVIDIA PascalTM architecture enables the Tesla P100 to deliver superior performance for HPC and hyperscale workloads. With more than 21 teraflops of FP16 performance, Pascal is optimized to drive exciting new possibilities in deep learning applications. Pascal also delivers over 5 and 10 teraflops of double and single precision performance for HPC workloads.Unprecedented Efficiency with CoWoS with HBM2 - The Tesla P100 tightly integrates compute and data on the same package by adding CoWoS (Chip-on-Wafer-on-Substrate) with HBM2 technology to deliver 3X memory performance over the NVIDIA MaxwellTM architecture. This provides a generational leap in time-to-solution for data-intensive applications.
Simpler Programming with Page Migration Engine - Page Migration Engine frees developers to focus more on tuning for computing performance and less on managing data movement. Applications can now scale beyond the GPU's physical memory size to virtually limitless amount of memory.
5X Interconnect Bandwidth
21 Half Precision Teraflops
Description
HP 16GB 868585-001 nVIDIA Tesla P100 PCI Express 3.0 x16 Pascal Gpu Accelerator9. HP J0G95A NVIDIA Tesla K80 - GPU computing processor - 2 GPUs - Tesla K80 - 24 GB GDDR5 - PCI Express 3.0 x16 - fanless
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