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 27 results
-
-
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.
-
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.
-
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.
-
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.
-
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.
-
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 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.
-
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.
-
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.
-
NVIDIA RTX 2000 Ada Generation
Entry-level Ada Lovelace professional GPU — 2,816 CUDA cores, 16GB GDDR6 ECC at 70W. Affordable professional graphics with AI and ray tracing for every desktop.
-
NVIDIA RTX 4000 Ada Generation
Compact single-slot professional GPU — 6,144 CUDA cores, 20GB GDDR6 ECC, 26.7 TFLOPS FP32 at just 130W for mainstream professional workstations.
-
NVIDIA RTX 4000 SFF Ada Generation
Small form factor professional GPU — 6,144 CUDA cores, 20GB GDDR6 ECC at just 70W with no external power. The most powerful low-profile professional card.
-
NVIDIA RTX 4500 Ada Generation
Mid-range Ada Lovelace professional GPU — 7,680 CUDA cores, 24GB GDDR6 ECC, 39.9 TFLOPS FP32 for reliable CAD, visualization, and AI-assisted design.