Articles

The NVIDIA H200 NVL 141GB GPU sets a new benchmark for AI and HPC performance. Featuring Hopper architecture, 141GB HBM3e memory, and NVLink scalability, it’s ideal for training large language models, generative AI, and massive scientific simulations - giving enterprises and research labs the power to scale AI workloads without compromise.

The NVIDIA RTX 6000 ADA 48GB GPU delivers extreme AI, rendering, and simulation power. Featuring ADA Lovelace architecture, 18,176 CUDA cores, 568 Tensor Cores, and 48GB ECC GDDR6 memory, it’s built for AI training, real-time ray tracing, and enterprise-scale workloads - perfect for researchers, engineers, and creative professionals.

Universities are adopting refurbished GPUs like NVIDIA Tesla T4, RTX 6000, and A10 to power AI research, ML projects, and simulations at lower cost while supporting campus sustainability initiatives.

The NVIDIA Tesla T4 is a low-power, high-performance data center GPU built on NVIDIA’s Turing architecture. With 16GB GDDR6 memory, 2,560 CUDA cores, and 320 Tensor Cores, it delivers up to 130 TOPS for AI inference, video processing, and virtual desktop infrastructure - while consuming just 70W. Ideal for cloud workloads, speech recognition, fraud detection, and recommendation engines.

The NVIDIA A10 Tensor Core GPU brings enterprise-class performance to AI, VDI, and graphics-rich workloads. With 24GB GDDR6 memory, Ampere architecture, and efficient 150W power, it delivers exceptional value for organizations seeking both performance and affordability.