Data Center AI GPUs & Accelerators
For sustained AI, machine-learning and HPC workloads in servers and professional computing environments. Data-center accelerators are designed for longer-running workloads, larger memory requirements and server-based deployment.
Typical applications
- Generative AI and LLM inference
- Training and fine-tuning larger models
- Multi-user AI servers and internal AI services
- Computer vision and batch inference
- GPU-accelerated scientific computing and HPC
- Rendering, visualization and virtual workstations
Products such as the NVIDIA L40S with 48 GB of GPU memory or AMD Instinct accelerators with large HBM memory target workloads where memory capacity, memory bandwidth, sustained operation and server integration matter more than typical desktop characteristics.
Who is this for? Teams, laboratories and companies that want to provide AI centrally, run larger models on their own infrastructure or operate demanding GPU workloads continuously.
