How Much Memory Does the H200 GPU Offer?

The NVIDIA H200 GPU offers 141 GB of HBM3e memory. This high-capacity memory makes it ideal for memory-intensive AI and HPC workloads on Cyfuture Cloud's GPU as a Service platform.​

Understanding H200 Memory Specs

Cyfuture Cloud leverages the NVIDIA H200 GPU, which features 141 GB of HBM3e memory, nearly double the 80 GB HBM3 capacity of its predecessor, the H100. This advanced HBM3e (High Bandwidth Memory 3e) technology delivers exceptional performance with a bandwidth of 4.8 TB/s, enabling faster data processing for large language models (LLMs), generative AI, and high-performance computing (HPC) tasks. On Cyfuture Cloud, users access this memory through scalable GPU clusters, ensuring seamless handling of massive datasets without on-premises hardware management.​

The H200's memory design stacks multiple DRAM dies vertically, reducing latency and power consumption while maximizing throughput—critical for training trillion-parameter models or running complex simulations. Compared to earlier GPUs like the A100 (40-80 GB HBM2e), the H200's specs represent a 1.75x capacity increase and 1.4x bandwidth boost over the H100 gpu, optimizing Cyfuture Cloud's offerings for enterprise AI inferencing and cloud-based research. This positions Cyfuture Cloud as a leader in providing cost-effective, high-memory GPU rentals for developers and data scientists in Delhi and beyond.​

Conclusion

With 141 GB HBM3e memory and 4.8 TB/s bandwidth, the H200 GPU empowers Cyfuture Cloud users to tackle demanding AI workloads efficiently. Choose Cyfuture Cloud for reliable access to these specs, backed by global data centers and competitive pricing.​

Follow-up Questions & Answers

How does the H200's memory compare to the H100?
The H200 doubles the H100's memory from 80 GB HBM3 to 141 GB HBM3e, with 4.8 TB/s bandwidth versus 3.35 TB/s, enhancing AI model performance on Cyfuture Cloud.​

What workloads benefit most from H200 memory on Cyfuture Cloud?
LLMs, generative AI, and HPC simulations thrive due to the high capacity and speed, allowing Cyfuture Cloud customers to process larger datasets faster.​

Is H200 memory configurable in Cyfuture Cloud GPU cloud servers?
Cyfuture Cloud offers flexible H200 configurations in PCIe and SXM forms, with MIG partitioning for up to 7 instances per GPU.​

What's the power efficiency of H200 memory usage?
Despite up to 700W TDP, H200's advanced management reduces costs, making it energy-efficient for Cyfuture Cloud's sustainable AI services.​