NVIDIA A10
Universal mainstream data center GPU based on Ampere — 24 GB GDDR6, 150W, single-slot. Accelerates graphics, AI inference, virtual workstations, and video in the broadest range of enterprise servers.
Showing 1–16 of 17 results
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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.
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NVIDIA A16
Quad-GPU Ampere board purpose-built for high-density, graphics-rich VDI — 64 GB GDDR6 ECC, four GPUs per card, and up to 2x the user density for enterprise virtual desktops.
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NVIDIA A2
Low-profile, low-power edge inference GPU with 16 GB GDDR6 ECC in a 40–60W envelope. Brings NVIDIA AI to space- and power-constrained edge and enterprise servers.
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NVIDIA B200
Blackwell architecture flagship — 192GB HBM3e, 8 TB/s bandwidth, up to 18 PFLOPS FP4 sparse per GPU. The next generation of AI training and inference.
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NVIDIA DGX B300
Enterprise AI factory node — 8x Blackwell Ultra SXM GPUs, 2.1TB GPU memory, 144 PFLOPS FP4, NVLink Switch, in a 10U rack-mount system.
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NVIDIA DGX GB300 NVL72
Rack-scale AI factory — 72 Blackwell Ultra GPUs, 36 Grace CPUs, 38TB fast memory, 1.1 exaFLOPS FP4 dense, liquid-cooled for maximum AI reasoning performance.
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NVIDIA DGX SuperPOD
Gigascale AI factory infrastructure — scalable from 8 to 128+ DGX racks with up to 9,216 GPUs, Quantum-X800 InfiniBand or Spectrum-X Ethernet networking.
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NVIDIA H100 NVL
Dual-GPU PCIe accelerator with 94 GB HBM3 per card and an NVLink bridge delivering 600 GB/s GPU-to-GPU bandwidth. Purpose-built to supercharge LLM inference in mainstream PCIe servers.
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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.
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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.
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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.
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NVIDIA L4
Ada Lovelace inference accelerator with 24 GB memory in a compact 72W low-profile, single-slot form factor. Delivers universal acceleration for AI inference, video, and graphics at the edge and in the cloud.
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NVIDIA L40
Ada Lovelace universal data center GPU with 48 GB GDDR6 ECC and 18,176 CUDA cores. Purpose-built for VDI, Omniverse digital twins, rendering, and mixed graphics + AI workloads.
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NVIDIA L40S
The universal Ada Lovelace GPU for the modern data center — 48 GB GDDR6 ECC, 18,176 CUDA cores, and 350W TDP delivering breakthrough performance for LLM inference, training, graphics, and video.
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NVIDIA RTX PRO 4500 Blackwell Server Edition
Single-slot Blackwell data center GPU with 32 GB GDDR7 ECC in a 165W envelope. Engineered for high-density edge, telco, and VDI deployments where power and density matter most.