enterprise gpu

A16 64GB Enterprise GPU 4 NVENC/8 NVDEC Passive Cooling Product Overview The A16 is a quad-GPU Ampere data center GPU released in 2021, purpose-built for high-density VDI, multi-stream video transcoding, and lightweight AI inference. This enterprise-grade solution delivers exceptional performance for virtualization and media processing workloads. Technical Architecture Integrates 4 independent GA107 GPU dies Each die features: 1280 CUDA cores, 40 Tensor cores, 10 RT cores

M60 Enterprise GPU Maxwell 28nm 8.7 TFLOPS FP32 Virtual Workstation Support The Tesla M60 is a dual-slot, PCIe 3.0 x16 data center GPU designed for enterprise environments. Released in 2015 and built on the 28nm Maxwell (GM204) architecture, this professional-grade graphics solution delivers exceptional performance for virtualized workloads. Architecture Maxwell (GM204) 28nm GPU Configuration Dual GPUs with 4096 total CUDA cores (2048 per GPU) Memory 16GB GDDR5 (8GB per GPU)

A40 Enterprise GPU The A40 is a high-end Ampere (GA102) data center GPU, purpose-built for professional visualization, ray tracing, and enterprise AI applications. Engineered for demanding workloads, it delivers exceptional performance and reliability in data center environments. Key Features Memory 48GB ECC GDDR6 with 696GB/s bandwidth Architecture Second-gen RT Cores and third-gen Tensor Cores Multi-Instance GPU Supports up to 7 MIG instances NVLink Up to 96GB combined

M10 Enterprise GPU Maxwell 28nm 28*H.264 Streams Virtual Workstation Support Tesla M10 The Tesla M10 is a dualslot, PCIe 3.0 x16 data center GPU released in May 2016, based on the 28nm Maxwell (GM107) architecture. Architecture 28nm Maxwell (GM107) GPU Configuration 4 * GPUs per card Processing Cores 2560 CUDA cores total (640 per GPU) Memory 32GB GDDR5 total (8GB per GPU) with ECC protection Memory Bandwidth 332GB/s total Clock Speeds 1033MHz base / 1306MHz boost FP32

A30 Enterprise GPU with ECC NVLink Video Decoder Multi-Instance GPU Product Overview The A30 is an Ampere GA100 data center GPU engineered for AI workloads, high-performance computing, and multi-tenant virtualization environments. Key Features Equipped with 24GB HBM2 ECC memory and 933GB/s high bandwidth Delivers up to 330 TOPS INT8 performance for fast AI inference and supports lightweight model training Features MIG technology, enabling division into up to 4 independent GPU

A10 24GB Enterprise GPU ECC 288 Tensor Cores 72 RT Cores A10 GPU Overview The A10 is a versatile Ampere GPU launched in 2021, designed for AI inference, professional graphics, virtualization, and video transcoding. CUDA Cores: 9,216 Tensor Cores: 288 RT Cores: 72 Memory: 24GB GDDR6 ECC Memory Bandwidth: 600GB/s FP32 Performance: 31.2 TFLOPS INT8 Performance: 500 TOPS Power Limit: 150W Form Factor: Single-slot FHFL Delivering exceptional computational power, the A10 provides

P40 Enterprise GPU Pascal Architecture 3840 CUDA Cores Video Transcoding Product Overview The Tesla P40 is a dual-slot data center GPU based on the 16nm Pascal architecture, released in 2016. It features 24GB ECC GDDR5 memory with 346GB/s bandwidth, 3840 CUDA cores, and delivers 47 TOPS INT8 inference performance, ideal for AI inference, video transcoding, and virtual workstations. With 250W TDP and passive cooling, it requires server airflow for heat dissipation. Supporting

L20 48GB Enterprise GPU ECC 368 Tensor Cores 92 RT Cores Product Overview The L20 is a high-end Ada Lovelace GPU released in late 2023, designed for AI inference, professional 3D rendering, and virtualization applications. Technical Specifications CUDA Cores 11,776 Tensor Cores 368 RT Cores 92 Memory 48GB GDDR6 ECC Memory Bandwidth 864GB/s FP32 Performance 59.35 TFLOPS INT8 Performance 239 TOPS Power Limit 275W Form Factor Dual-slot FHFL Primary Applications Large LLM

Tesla T4 16GB GDDR6 GPU The Tesla T4 is a low-power, high-efficiency Turing architecture GPU designed for AI inference, video transcoding, and virtualization in data centers and cloud environments. Featuring a 70W passive cooling design and single-slot low-profile form factor with ECC support, it's optimized for dense server deployments, VDI, and edge computing applications. Key Specifications 2560 CUDA cores and 320 Tensor cores 16GB GDDR6 memory with 300GB/s bandwidth 8.1