Изнајмите NVIDIA H200 NVL GPU по сату
The NVIDIA H200 NVL is a Hopper-architecture datacenter GPU built for memory-intensive workloads, offering 140 GB of VRAM and a memory bandwidth of about 3884 GB/s. It operates at a 600 W power envelope, supports compute capability 9.0, and delivers about 48.3 TFLOPS of standard floating-point compute. You can deploy this processor on ONIE with per-hour billing, direct SSH access, and ready templates.
Спецификације
VRAM по GPU-у
Архитектура
Compute capability
FP32 рачунање
Меморијска пропусност
Ограничење снаге
Вредности које пријављује добављач инфраструктуре за тренутно наведене машине; стварне перформансе се разликују од машине до машине.
Доступне конфигурације
Актуелне залихе и цене, ажурирају се непрекидно. Коначна цена се потврђује пре наручивања.
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За шта је H200 NVL добар
Large Language Model Inference
Run large models in memory without sharding, taking advantage of the 140 GB VRAM capacity and about 3884 GB/s of memory bandwidth.
Model Fine-Tuning and Training
Train and adapt deep learning models using Hopper compute capability 9.0 and spacious GPU memory for large batch sizes.
High-Throughput Batch Processing
Process massive datasets and long context windows efficiently using pre-configured PyTorch/CUDA, vLLM, or Ollama templates.
Scientific Computing and Simulation
Execute complex datacenter simulations that require about 48.3 TFLOPS of standard floating-point performance and substantial onboard memory.
Да ли је то прави GPU за вас?
Choose the H200 NVL when your primary bottleneck is VRAM capacity and memory bandwidth, particularly for hosting large models on a single card. If you are running lighter inference, standard image generation, or development tasks that do not require 140 GB of memory, a smaller workstation or consumer GPU is a more practical choice.
Упоредите са сличним GPU-овима
Често постављана питања
Why choose the H200 NVL over a standard Hopper GPU?
The H200 NVL provides 140 GB of VRAM and about 3884 GB/s of memory bandwidth, which is higher than the memory capacity and bandwidth of earlier Hopper-generation cards. This allows larger models and context windows to fit on a single GPU.
Is the H200 NVL suitable for LLM serving with vLLM or Ollama?
Yes, the 140 GB memory pool and high memory bandwidth make it well-suited for serving large language models. ONIE provides ready templates for both vLLM and Ollama to help you start quickly.
What software environments and access methods are available?
Every instance includes full SSH access for custom configuration. You can also launch instances with pre-installed templates including PyTorch/CUDA, vLLM, Ollama, and ComfyUI.
How does billing work for the H200 NVL on ONIE?
Instances are billed on a per-hour basis. You only pay for the time your H200 NVL instance is active.
Изнајмите H200 NVL по сату
Креирајте налог, изаберите конфигурацију и повежите се преко SSH-а. Наплата престаје када обришете GPU.
Изнајмите H200 NVL