enterprise gpu
A16 64GB Enterprise GPU 4 NVENC / 8 NVDEC Passive Cooling
The A16 quad-GPU Ampere data center GPU delivers high-density VDI, multi-stream video transcoding, and lightweight AI inference. With 4 independent GA107 dies, 64GB GDDR6 ECC memory, 4 NVENC/8 NVDEC engines, and passive cooling, it supports 64 concurrent users for enterprise virtualization and media workloads.
M60 Enterprise GPU Maxwell 28nm 8.7 TFLOPS FP32 Virtual Workstation Support
Tesla M60 dual-GPU enterprise card with 4096 CUDA cores, 16GB GDDR5 ECC memory, delivering 8.7 TFLOPS FP32. Optimized for NVIDIA GRID vGPU, supporting 32 virtual users for VDI, virtual workstations, and AI inference with passive cooling.
A40 Enterprise GPU MIG NVLink 2nd Gen RT Cores 3rd Gen Tensor Cores
The A40 is a high-end Ampere data center GPU for professional visualization, ray tracing, and enterprise AI. Features 48GB ECC GDDR6 memory, MIG (up to 7 instances), NVLink (up to 96GB combined), 2nd-gen RT Cores, 3rd-gen Tensor Cores, and 300W passive cooling for 24/7 reliability in data center deployments.
M10 Enterprise GPU Maxwell 28nm 28×H.264 Streams Virtual Workstation Support
Tesla M10: Dual-slot PCIe 3.0 data center GPU with 4 GPUs, 2560 CUDA cores, 32GB GDDR5 ECC memory, 332GB/s bandwidth. Supports 32 virtual users, 28 H.264 1080p30 streams for VDI, virtual workstations, and transcoding. 225W TDP, passive cooling.
A30 Enterprise GPU with ECC NVLink Video Decoder Multi Instance GPU
A30 Enterprise GPU with 24GB HBM2 ECC memory, 933GB/s bandwidth, 330 TOPS INT8 performance, MIG technology for 4 GPU instances, video decoding engines, PCIe 4.0, NVLink, and 165W TDP for reliable 24/7 data center operation.
A10 24GB Enterprise GPU ECC 288 Tensor Cores 72 RT Cores for AI inference
A10 24GB Enterprise GPU: 9216 CUDA cores, 288 Tensor cores, 72 RT cores, 24GB GDDR6 ECC memory. Delivers 31.2 TFLOPS FP32, 500 TOPS INT8, ~3.8x higher inference throughput than T4. 150W power, single-slot FHFL form factor. Ideal for AI inference, virtualization, and media processing.
P40 Enterprise GPU Pascal Architecture 3840 CUDA Cores Video Transcoding
Tesla P40: 24GB ECC GDDR5 memory, 3840 CUDA cores, 47 TOPS INT8 performance. Ideal for AI inference, video transcoding, and virtual workstations. Passive cooling with 250W TDP, supports Quadro vDWS and 24 NVENC sessions for multi-tenant virtualization.
L20 Enterprise 48GB GPU ECC 368 Tensor Cores 92 RT Cores For Professional 3D Rendering
L20 GPU: 48GB ECC memory, 368 Tensor cores, 92 RT cores. Ideal for AI inference, 3D rendering, virtualization. 59.35 TFLOPS FP32, 239 TOPS INT8 performance. 275W power, dual-slot FHFL.
Tesla T4 16GB GDDR6 GPU 70W PCIe 3.0 AI Inference Video Transcoding
Tesla T4: Low-power Turing GPU with 16GB GDDR6, 70W passive cooling. Ideal for AI inference (up to 40x faster than CPUs), video transcoding, and virtualization. Features 2560 CUDA cores, 320 Tensor cores, ECC support, and single-slot design for dense server deployments.
