nvidia
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NVIDIA QUADRO GV100
SKU: N/AMore Information- GPU Memory: 32GB HBM2
- CUDA Cores: 5120
- Single Precision: 14.8 TFLOPs
- Double Precision: 7.4 TFLOPs
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NVIDIA DGX-2
SKU: N/AMore Information- WORLD’s FIRST 2 PETAFLOPS SYSTEM
- ENTERPRISE GRADE AI INFRASTRUCTURE
- 12 TOTAL NVSWITCHES + 8 EDR INFINIBAND/100 GbE ETHERNET
- 2 INTEL PLATINUM CPUS + 1.5 TB SYSTEM MEMORY + DUAL 10/25 GbE ETHERNET
- 30 TB NVME SSDS INTERNAL STORAGE
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CUDA
SKU: N/ACUDA is a parallel computing platform and programming model developed by Nvidia for general computing on its own GPUs (graphics processing units). CUDA enables developers to speed up compute-intensive applications by harnessing the power of GPUs for the parallelizable part of the computation. This post is a super simple introduction to CUDA, the popular parallel computing ...More Information -
NVIDIA DGX Cloud
SKU: N/ANVIDIA DGX CloudYour own AI supercomputer—in the cloud. Large language models (LLMs) and generative AI require an AI supercomputer, butmany enterprises struggle with the complexity, effort, and time required to deployand operate infrastructure. These businesses need immediate access to high-performance infrastructure at scale, with enterprise-grade tools and predictablecosts that aren’t easily obtainable with traditional ...More Information -
RAPIDS
SKU: N/AACCELERATED DATA SCIENCE The RAPIDS suite of open source software libraries gives you the freedom to execute end-to-end data science and analytics pipelines entirely on GPUs. SCALE OUT ON GPUS Seamlessly scale from GPU workstations to multi-GPU servers and multi-node clusters with Dask. PYTHON INTEGRATION Accelerate your Python data science toolchain with minimal code changes ...More Information
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