Choose from our complete range of NVIDIA data center and professional GPUs. From the latest H200 to proven A100, find the perfect GPU for your workload.
Enterprise-grade GPUs for AI training, inference, and HPC workloads
Blackwell professional GPU with 96GB GDDR7
Deploy NVIDIA RTX PRO 6000 GPUs on enterprise-grade cloud infrastructure in India with Host360. Optimized for AI training, LLM inference, rendering, simulation, and high-performance computing workloads with scalable GPU infrastructure and dedicated enterprise support.
Accelerate AI training, inference, and high-performance computing with NVIDIA B200 GPUs. Designed for large language models, generative AI, and data-intensive workloads, the B200 delivers exceptional performance, scalability, and efficiency for enterprise and research environments.
Accelerate AI, HPC, and large-scale inference workloads.
Accelerate AI training, inference, and HPC workloads.
Accelerate AI training, inference, and HPC workloads.
Next-generation GPU with 141GB HBM3e for large-scale AI training.
Industry standard for AI training and inference
Proven performance for ML workloads
Optimized for AI inference and visualization
Mainstream GPU for mixed AI and HPC workloads
AI inference and graphics in one GPU
NVIDIA RTX for visualization, rendering, and AI development
Professional visualization with ray tracing
Maximum memory for complex 3D models
Ampere professional GPU for AI and rendering
Ada Lovelace for next-gen professional workloads
Blackwell professional GPU with 96GB GDDR7
Compare our most popular data center GPUs side by side.
| Feature | H200 | H100 | A100 | L40S |
|---|---|---|---|---|
| Architecture | Hopper | Hopper | Ampere | Ada Lovelace |
| VRAM | 141 GB | 80 GB | 80 GB | 48 GB |
| Memory Type | HBM3e | HBM3 | HBM2e | GDDR6 |
| Bandwidth | 4.8 TB/s | 3.35 TB/s | 2.0 TB/s | 864 GB/s |
| FP16 Performance | 1,979 TFLOPS | 1,979 TFLOPS | 312 TFLOPS | 362 TFLOPS |
| Best For | LLM Training | AI Training | ML Workloads | Inference + Graphics |
Our GPU experts can help you select the right configuration for your workload.