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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.

NVIDIA H100 GPU

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

MetricH100 SXMH100 NVL
FP8 Tensor Core3,958 TFLOPS3,341 TFLOPS
FP16/BF16 Tensor Core1,979 TFLOPS1,671 TFLOPS
TF32 Tensor Core989 TFLOPS835 TFLOPS
GPU Memory80 GB94 GB
Memory Bandwidth3.35 TB/s3.9 TB/s
Max TDPUp to 700W350-400W
Form FactorSXMPCIe dual-slot air-cooled
InterconnectNVLink 900 GB/s + PCIe Gen5NVLink 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.