NVIDIA H200 Server

NVIDIA H200 Server is a flagship GPU cloud server available from Immers Cloud. The H200 is NVIDIA's most powerful data center GPU, featuring 141 GB of HBM3e memory and massive compute throughput for large-scale AI training and inference.

Specifications

Component	Specification
GPU	NVIDIA H200 (Hopper architecture)
VRAM	141 GB HBM3e
Memory Bandwidth	4.8 TB/s
FP16 Performance	~989 TFLOPS
FP8 Performance	~1,979 TFLOPS
Interconnect	NVLink 4.0 (900 GB/s)
Starting Price	From $4.74/hr

Performance

The NVIDIA H200 is the successor to the H100, with the same Hopper architecture but significantly upgraded memory:

• 141 GB HBM3e vs 80 GB HBM2e on the H100 — 76% more VRAM
• 4.8 TB/s memory bandwidth vs 3.35 TB/s on H100 — 43% more bandwidth
• Identical compute units but memory improvements accelerate memory-bound workloads by 40–90%

For LLM training, the extra VRAM means larger models can fit on a single GPU without model parallelism overhead. For inference, you can run larger batch sizes or serve bigger models without splitting across multiple GPUs.

Compared to the NVIDIA H100 Server ($3.83/hr), the H200 costs approximately 24% more per hour but delivers substantially better performance for memory-bound workloads, making it more cost-effective per token for large model inference.

Best Use Cases

• Training large language models (70B+ parameters)
• Fine-tuning foundation models (LLaMA, Mistral, GPT)
• Large-scale inference serving for production AI
• Scientific simulations with large memory requirements
• Multi-modal model training (vision + language)
• Research requiring state-of-the-art GPU hardware

Pros and Cons

Advantages

• 141 GB HBM3e — largest GPU memory available
• 4.8 TB/s memory bandwidth eliminates memory bottlenecks
• Hopper architecture with FP8 tensor cores
• NVLink 4.0 for efficient multi-GPU scaling
• 40–90% faster than H100 on memory-bound workloads

Limitations

• Highest per-hour cost at $4.74/hr
• Overkill for small models or inference-only workloads
• Limited availability due to high demand
• Requires expertise to fully utilize the hardware
• Cost adds up for sustained training runs

Pricing

Available from Immers Cloud starting at $4.74/hr. Multi-GPU configurations available for distributed training. Monthly costs depend on usage patterns — a dedicated 24/7 instance runs approximately $3,413/month.

Recommendation

The NVIDIA H200 Server is the right choice when you need the absolute fastest GPU available and your workload is memory-bandwidth bound. If you're training models with 70B+ parameters, running large-batch inference, or doing cutting-edge AI research, the H200's 141 GB HBM3e provides a clear advantage. For workloads that fit within 80 GB VRAM, the NVIDIA H100 Server offers similar compute at lower cost.

See Also

• NVIDIA H100 Server
• NVIDIA H100 NVL Server
• NVIDIA A100 Server