Iznajmite NVIDIA H100 PCIE GPU po satu
The NVIDIA H100 PCIE is a Hopper-architecture datacenter GPU built for demanding deep learning and scientific computing workloads. It provides 80 GB of VRAM, about 1760 GB/s of memory bandwidth, and about 41.0 TFLOPS of standard floating-point compute within a 350 W power envelope. On ONIE, you can deploy this compute capability 9.0 accelerator with per-hour billing and full SSH access.
Specifikacije
VRAM po GPU-u
Arhitektura
Računalna sposobnost
FP32 računanje
Propusnost memorije
Ograničenje snage
Vrijednosti koje je navela infrastrukturna platforma za trenutno navedene strojeve; stvarne performanse razlikuju se ovisno o stroju.
Dostupne konfiguracije
Zalihe i cijene u stvarnom vremenu, neprekidno ažurirane. Konačnu cijenu potvrđujemo prije narudžbe.
Učitavanje cijena u stvarnom vremenu…
Za što je H100 PCIE pogodan
Large Language Model Inference
Serve large language models in memory using the 80 GB of VRAM and high memory bandwidth alongside pre-configured vLLM or Ollama templates.
Model Fine-Tuning and Training
Train or fine-tune deep neural networks using the Hopper architecture and ready PyTorch/CUDA environments.
Batch Image Generation
Run high-throughput diffusion pipelines and complex ComfyUI workflows that benefit from substantial memory capacity.
Data Science and Simulation
Execute compute-intensive simulations and data processing tasks with about 41.0 TFLOPS of standard floating-point performance and about 1760 GB/s of memory throughput.
Je li to pravi GPU za vas?
Choose the H100 PCIE when your workloads require 80 GB of VRAM, datacenter-grade memory bandwidth, and Hopper compute capability 9.0 features. For lighter inference or smaller models, a workstation or consumer GPU with less VRAM is more economical, while extreme throughput requirements may warrant an SXM-based datacenter variant.
Usporedite sa sličnim GPU-ovima
| GPU | VRAM po GPU-u | Arhitektura | FP32 računanje | Od / sat | Pojedinosti |
|---|---|---|---|---|---|
| H100 PCIE | 80 GB | Hopper | ≈ 41 TFLOPS | — | |
| H100 NVL | 94 GB | Hopper | ≈ 48.3 TFLOPS | — | Pojedinosti |
| H100 SXM | 80 GB | Hopper | ≈ 53.5 TFLOPS | — | Pojedinosti |
| RTX A6000 | 48 GB | Ampere | ≈ 36.1 TFLOPS | — | Pojedinosti |
Često postavljana pitanja
Is the H100 PCIE suitable for LLM fine-tuning and inference?
Yes, its 80 GB of VRAM and about 1760 GB/s of memory bandwidth make it well-suited for hosting and training large models. You can start immediately using pre-configured templates for PyTorch/CUDA, vLLM, or Ollama.
How does the H100 PCIE compare to SXM or smaller workstation GPUs?
The H100 PCIE operates at a 350 W TDP, offering lower power consumption and standard PCIe compatibility compared to higher-wattage SXM datacenter variants. Compared to workstation or consumer cards, it provides significantly more VRAM at 80 GB and higher memory bandwidth.
What software support and compute capability does this GPU have?
Being based on the NVIDIA Hopper architecture, the H100 PCIE supports CUDA compute capability 9.0. You can launch instances with ready templates including PyTorch/CUDA and ComfyUI, or configure your own stack via SSH access.
How does billing work for H100 PCIE instances on ONIE?
Instances on ONIE use straightforward per-hour billing, so you only pay for the time your GPU is active. Full SSH access is included with every deployment.
Iznajmite H100 PCIE po satu
Stvorite račun, odaberite konfiguraciju i povežite se putem SSH-a. Naplata prestaje kada izbrišete GPU.
Iznajmi H100 PCIE