NVIDIA H200 PCIe — Memory-Optimized AI Compute
The NVIDIA H200 PCIe GPU elevates AI performance with expanded on-chip memory and enhanced throughput, making it ideal for large-context AI models, retrieval-augmented generation (RAG), and multi-modal workloads.
141GB HBM3E Memory
Next-Gen AI Performance
High Throughput for Large Datasets
Optimized for Large AI Models
GPU Specifications
Technical specifications of the NVIDIA H200 PCIe GPU designed for memory-intensive AI training, inference, and high-performance computing.
| Feature | Details |
|---|---|
| Architecture | NVIDIA Hopper |
| Memory | 141GB HBM3E |
| Memory Bandwidth | 4.8 TB/s |
| Enhanced Features | Advanced Transformer Engine |
| Interconnect | PCIe Gen5 |
Ideal Use Cases
NVIDIA H200 PCIe GPUs power advanced AI workloads requiring large memory capacity and high throughput across research and enterprise environments.
Large-context Model Training
Retrieval-Augmented Applications
Complex Multi-modal AI Systems
High-density Inference Pipelines
Why Choose H200 on Fluidcore
Fluidcore’s infrastructure is engineered for high-memory GPU workloads, providing scalable clusters with optimized networking and storage. Run memory-intensive AI tasks with confidence and performance parity with hyperscale providers — at more predictable costs.
Memory-Optimized Compute
H200 GPUs deliver expanded HBM3E memory capacity designed specifically for large-context models and memory-intensive AI workloads.
Optimized GPU Networking
High-speed networking infrastructure ensures fast communication across distributed GPU clusters for large-scale AI training.
Scalable AI Infrastructure
Deploy scalable clusters capable of handling enterprise-grade AI workloads with consistent performance and reliability.
Enterprise-Grade Security
Run sensitive AI workloads on sovereign infrastructure designed to provide secure compute environments and predictable costs.
Explore Other AI Accelerators
Discover additional high-performance compute options available on Fluidcore’s AI infrastructure platform.
NVIDIA H100
Industry-leading GPU for training large language models and advanced AI workloads.
View Details →NVIDIA B200
Next-generation Blackwell GPU built for frontier AI models and massive parallel training.
View Details →NVIDIA L40S
Balanced AI inference and graphics accelerator ideal for production AI serving.
View Details →Furiosa AI Accelerator
Power-efficient AI accelerator optimized for scalable inference pipelines.
View Details →AMD MI300X
High-memory AMD accelerator designed for memory-intensive AI workloads.
View Details →Ready to Deploy NVIDIA H200?
Launch memory-intensive AI workloads with NVIDIA H200 GPUs on Fluidcore’s high-performance infrastructure designed for advanced machine learning and large-scale data processing.