NVIDIA A100 80GB
Ampere Tensor Core GPU with 80 GB HBM2e and 2 TB/s memory bandwidth. The proven workhorse for AI training, HPC, and data analytics with Multi-Instance GPU (MIG) for secure partitioning.
Showing all 5 results
-
-
NVIDIA H100 SXM
The GPU that launched the AI era — 80GB HBM3, 3.35 TB/s bandwidth, 3,958 TFLOPS FP8, NVLink 900 GB/s in an SXM form factor for HGX and DGX systems.
-
NVIDIA H200 NVL
The first PCIe GPU with HBM3e — 141 GB of memory at 4.8 TB/s. Hopper architecture with NVLink bridge, purpose-built to deploy large language models and generative AI in mainstream enterprise servers.
-
NVIDIA H200 SXM
Hopper architecture with HBM3e — 141GB memory, 4.8 TB/s bandwidth, up to 2x faster LLM inference vs H100. The memory-optimized AI GPU.
-
NVIDIA RTX PRO 6000 Blackwell Server Edition
The universal data center GPU powered by Blackwell — 24,064 CUDA cores, 96 GB GDDR7 ECC, and 5th-gen Tensor Cores for AI, graphics, digital twins, and VDI all on a single server-grade card.