Hopper Tensor Core Platform
NVIDIA H100 on AltusCloud
H100 remains a production-proven platform for enterprise AI, spanning model training, fine-tuning, and real-time inference with mature software ecosystem support.

Highlights
A balanced platform for training and inference
Up to 4x vs prior generation
AI Training uplift
Up to 30x on large models
LLM inference uplift
Up to 900 GB/s NVLink
Interconnect bandwidth
Transformational AI training performance
H100 combines fourth-generation Tensor Cores, FP8 support, and high-bandwidth NVLink to accelerate large model training. It is a strong fit for teams that need reliable scaling from departmental clusters to larger distributed jobs.
Real-time inference with lower latency
For enterprise chat, agents, and multimodal pipelines, H100 offers predictable low-latency serving and broad framework compatibility. This helps teams move workloads into production without major stack changes.
Enterprise deployment models
- 4-GPU and 8-GPU validated cluster profiles
- Dedicated inference and mixed training-inference pools
- Global availability with enterprise support workflows
Software ecosystem maturity
H100 is widely adopted across AI software stacks and orchestration tooling, making it a pragmatic choice for teams requiring predictable operations, established best practices, and faster onboarding.
Specifications
| Metric | H100 SXM | H100 NVL |
|---|---|---|
| FP8 Tensor Core | 3,958 TFLOPS | 3,341 TFLOPS |
| FP16/BF16 Tensor Core | 1,979 TFLOPS | 1,671 TFLOPS |
| TF32 Tensor Core | 989 TFLOPS | 835 TFLOPS |
| GPU Memory | 80 GB | 94 GB |
| Memory Bandwidth | 3.35 TB/s | 3.9 TB/s |
| Max TDP | Up to 700W | 350-400W |
| Form Factor | SXM | PCIe dual-slot air-cooled |
| Interconnect | NVLink 900 GB/s + PCIe Gen5 | NVLink 600 GB/s + PCIe Gen5 |
Values are reference-level and can vary by exact server profile and region.
Ready to Deploy
Deploy NVIDIA H100 with AltusCloud
Contact our infrastructure team to plan cluster sizing, region strategy, and enterprise purchasing for your AI platform.
