nvidia
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NVIDIA JETSON™ TX2
SKU: N/A- GPU Memory: 8GB 128-bit LPDDR4 Memory
- GPU: 256-core NVIDIA Pascal™ GPU architecture with 256 NVIDIA CUDA cores
- CPU: Dual-Core NVIDIA Denver 2 64-Bit CPU, Quad-Core ARM® Cortex®-A57 MPCore
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NVIDIA QUADRO RTX8000
SKU: N/A- GPU Memory: 48 GB GDDR6 with ECC
- CUDA Cores: 4608
- NVIDIA Tensor Cores: 576
- NVIDIA RT Cores: 72
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NVIDIA QUADRO RTX8000 PASSIVE
SKU: 900-2G150-0050-000- GPU Memory: 48 GB GDDR6 with ECC
- CUDA Cores: 4608
- NVIDIA Tensor Cores: 576
- NVIDIA RT Cores: 72
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NVIDIA T4
SKU: N/A- GPU Memory: 16 GB GDDR6
- CUDA Cores: 2560
- NVIDIA Tensor Cores: 320
- System Interface: x16 PCIe Gen3
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NVIDIA TESLA P100
SKU: N/A- GPU Memory: 16 CoWoS HBM2
- CUDA Cores: 3584
- Single-Precision Performance: 9.3 TeraFLOPS
- System Interface: x16 PCIe Gen3
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NVIDIA TESLA P40
SKU: N/A- GPU Memory: 24 GB
- CUDA Cores: 3840
- Single-Precision Performance: 12 TeraFLOPS
- System Interface: x16 PCIe Gen3
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NVIDIA TESLA V100-32GB
SKU: 900-2G500-0010-000- GPU Memory: 32GB HBM2
- CUDA Cores: 5120
- NVIDIA Tensor Cores: 640
- Single-Precision Performance: 14 TeraFLOPS
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NVIDIA QUADRO GV100
SKU: N/A- 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/A- 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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