NVIDIA H100 NVL Server
NVIDIA H100 NVL Server is a high-end GPU cloud server available from Immers Cloud. The H100 NVL variant features 94 GB of HBM3 memory, positioned between the standard H100 (80 GB) and H200 (141 GB) in terms of memory capacity.
Specifications
| Component !! Specification |
|---|
| GPU || NVIDIA H100 NVL (Hopper architecture) |
| VRAM || 94 GB HBM3 |
| Memory Bandwidth || ~3.9 TB/s |
| FP16 Performance || ~989 TFLOPS |
| FP8 Performance || ~1,979 TFLOPS |
| Interconnect || NVLink (high-bandwidth bridge) |
| Starting Price || From $4.11/hr |
Performance
The H100 NVL sits in a unique position in the Hopper lineup:- 94 GB HBM3 — 17.5% more VRAM than the standard H100's 80 GB HBM2e
- HBM3 memory — faster memory type than HBM2e, providing higher bandwidth
- NVL bridge — optimized for paired NVL configurations with high-bandwidth GPU-to-GPU communication
- LLM inference serving (fitting larger models per GPU)
- Fine-tuning large foundation models
- Paired NVL inference clusters for production AI
- AI model serving with high concurrency
- Research requiring slightly more VRAM than 80 GB
- Multi-modal inference (vision + language models)
- 94 GB HBM3 — 17.5% more VRAM than standard H100
- HBM3 provides higher memory bandwidth than HBM2e
- Optimized NVL bridge for paired configurations
- Full Hopper architecture with FP8 tensor cores
- Better price-per-GB of VRAM than H200
- Only 14 GB more VRAM than standard H100
- Higher cost than standard H100 ($4.11 vs $3.83/hr)
- Less VRAM than H200 (94 vs 141 GB)
- NVL benefits only fully realized in paired configurations
- NVIDIA H100 Server
- NVIDIA H200 Server
- NVIDIA A100 Server
The NVL variant was designed specifically for large language model inference, where the extra 14 GB of VRAM per GPU can make the difference between fitting a model on fewer GPUs versus needing an additional GPU.
For training workloads, performance is comparable to the standard NVIDIA H100 Server, with the memory advantage allowing larger batch sizes and micro-batch configurations.
Best Use Cases
Pros and Cons
Advantages
Limitations
Pricing
Available from Immers Cloud starting at $4.11/hr. Approximately 7% more expensive than the standard H100 for 17.5% more VRAM.Recommendation
Choose the H100 NVL when 80 GB VRAM is just barely not enough for your model or batch size. The extra 14 GB can eliminate the need for model parallelism in some cases, which simplifies deployment and improves throughput. If you need significantly more VRAM, step up to the NVIDIA H200 Server. If 80 GB is sufficient, save with the NVIDIA H100 Server.See Also
Category:GPU Servers Category:AI Training Category:Data Center GPU