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Dell Nvidia Tesla K80 Gpu Require Gpu Inst Kit At Pos In

Misco No. : 2565151
Manufacturer/No: DELL / 490-BCKM
£4,950.00 Ex VAT
£5,940.00 Inc VAT
Availability: Please call 0800 038 8880 or Email salesdesk@misco.co.uk for latest Price & Availability
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Key Features
  • Dynamic parallelism
  • Hyper-Q
  • System monitoring
  • L1 and L2 caches
  • Memory error protection
  • Asynchronous transfer with dual DMA engines
  • GPU Boost
  • Zero-power idle

Dell Nvidia Tesla K80 Gpu Require Gpu Inst Kit At Pos In

This accelerator is designed for demanding computational tasks, combining a lot of memory with blazing-fast memory bandwidth and amazing compute performance for single and double precision workloads. Equipped with NVIDIA GPU Boost technology, the Tesla K80 intelligently monitors GPU usage to maximize throughput and outperforms CPUs.

Product Features
  • Dynamic parallelism
    It 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
    It 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
    It 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
    It accelerates algorithms such as physics solvers, ray tracing, and sparse matrix multiplication where data addresses are not known beforehand.
  • Memory error protection
    It 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.
  • Asynchronous transfer with dual DMA engines
    It turbocharges system performance by transferring data over the PCIe bus while the computing cores are crunching other data.
  • GPU Boost
    It enables the end-user to convert power headroom to higher clocks and achieve even greater acceleration for various HPC workloads.
  • Zero-power idle
    It increases data center energy efficiency by powering down idle GPUs when running legacy nonaccelerated workloads.

Product Specifications

Product DescriptionNVIDIA Tesla K80 GPU computing processor - 2 GPUs - Tesla K80 - 24 GB
Device TypeGPU computing processor
Graphics Engine2 GPUs - NVIDIA Tesla K80
Memory24 GB
Designed ForPowerEdge C4130, R730, R730xd

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