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Bookmark or Share- Tesla K80 | NVIDIATESLA K80 ACCELERATOR FEATURES AND BENEFITS. 4992 NVIDIA CUDA cores with a dual-GPU design. Up to 2.91 teraflops double-precision performance with NVIDIA GPU Boost. Up to 8.73 teraflops single-precision performance with NVIDIA GPU Boost. 24 GB of GDDR5 memory. 480 GB/s aggregate memory bandwidth.
- Tesla K80 vs GeForce RTX 3090 [2-Benchmark Showdown] - Technical CityTesla K80. 2014. 12 GB GDDR5. 15.11. GTX 1650. GTX 1060 6 GB. RTX 3060. RTX 4060. RTX 4070 SUPER. RTX 4080 SUPER. RTX 4090. RX 580. RX 5700. Arc A580. RX 7600 XT. RX 7800 XT. RX 7900 XTX. GeForce RTX 3090 outperforms Tesla K80 by 358% based on our aggregated benchmark results. Contents. Primary Details. Cost-Effectiveness Evaluation.
- NVIDIA Tesla K80 Specs | TechPowerUp GPU DatabaseTesla K80 combines two graphics processors to increase performance. It features 2496 shading units, 208 texture mapping units, and 48 ROPs, per GPU. NVIDIA has paired 24 GB GDDR5 memory with the Tesla K80, which are connected using a 384-bit memory interface per GPU (each GPU manages 12,288 MB).
- Board Specification - NVIDIAOVERVIEW. The NVIDIA® Tesla® K80 graphics processing unit (GPU) is a PCI Express, dual-slot computing module in the Tesla (267 mm length) form factor comprising of two Tesla K80 GPUs. The Tesla K80 GPU Accelerator is designed for servers and offers a total of 24 GB of GDDR5 on-board memory (12 GB per GPU) and supports PCI Express Gen3.
- Increase Performance with GPU Boost and K80 AutoboostIncrease Performance with GPU Boost and K80 Autoboost. NVIDIA® GPU Boost™ is a feature available on NVIDIA® GeForce® and Tesla® GPUs that boosts application performance by increasing GPU core and memory clock rates when sufficient power and thermal headroom are available ( See the earlier Parallel Forall post about GPU Boost by Mark Harris ).
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