GPU Cloud · NVIDIA · Ada Lovelace

Închiriați GPU NVIDIA RTX 6000Ada pe oră

The NVIDIA RTX 6000Ada is an Ada Lovelace architecture workstation GPU available for on-demand rental on ONIE. It features 48 GB of VRAM, about 81.4 TFLOPS of single-precision compute, and a memory bandwidth of about 764 GB/s within a 300 W power envelope. With compute capability 8.9, it handles memory-intensive professional graphics and machine learning workloads.

Specificații

VRAM per GPU

48 GB

Arhitectură

NVIDIA Ada Lovelace

Capacitate de calcul

8.9

Calcul FP32

≈ 81.4 TFLOPS

Lățime de bandă a memoriei

≈ 764 GB/s

Limită de putere

300 W

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Configurații disponibile

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Pentru ce este potrivit RTX 6000Ada

Large Language Model Inference

Run large language models using pre-configured vLLM or Ollama templates that benefit from the 48 GB VRAM capacity.

Model Fine-Tuning and Training

Leverage compute capability 8.9 and PyTorch/CUDA templates to fine-tune neural networks with substantial batch sizes.

Generative Media Workflows

Deploy ComfyUI to generate high-resolution images and video while keeping complex pipelines entirely in memory.

Workstation Rendering and Simulation

Utilize the Ada Lovelace architecture and about 81.4 TFLOPS of single-precision performance for complex spatial rendering and scientific simulations.

Este GPU-ul potrivit pentru dumneavoastră?

Choose the RTX 6000Ada when your workload exceeds consumer GPU memory limits and requires 48 GB of VRAM alongside Ada Lovelace architectural features. Opt for a smaller consumer GPU for lightweight inference, or step up to a high-memory datacenter GPU if your models require even greater memory capacity or higher memory bandwidth than about 764 GB/s.

Comparați cu GPU-uri similare

GPUVRAM per GPUArhitecturăCalcul FP32De la / orăDetalii
RTX 6000Ada48 GBAda Lovelace≈ 81.4 TFLOPS—
L40S45 GBAda Lovelace≈ 73.3 TFLOPS—Detalii
RTX PRO 500048 GBBlackwell≈ 69.6 TFLOPS—Detalii
RTX 6000D84 GBBlackwell≈ 77.6 TFLOPS—Detalii

Întrebări frecvente

Is the RTX 6000Ada suitable for LLM inference and fine-tuning?

Yes, its 48 GB of VRAM and compute capability 8.9 make it well-suited for running and fine-tuning medium-to-large language models that do not fit on standard consumer cards. You can deploy workloads quickly on ONIE using ready templates for vLLM, Ollama, or PyTorch/CUDA.

How does this workstation GPU compare to consumer or datacenter alternatives?

The RTX 6000Ada offers double the memory of high-end consumer cards from the same Ada Lovelace generation while operating at a 300 W TDP. However, if your primary bottleneck is memory bandwidth rather than capacity, a high-end datacenter GPU with high-bandwidth memory will provide faster data transfer than this card's about 764 GB/s.

How do I connect to my RTX 6000Ada instance and what software is included?

You get full SSH access to your instance as soon as it is provisioned. ONIE provides ready-to-use templates including PyTorch/CUDA, vLLM, Ollama, and ComfyUI so you can start working without manual driver setup.

How does billing work for renting the RTX 6000Ada?

Instances on ONIE use straightforward per-hour billing. You only pay for the time your workstation GPU instance is active.

Închiriați RTX 6000Ada pe oră

Creați un cont, alegeți o configurație și conectați-vă prin SSH. Facturarea se oprește când ștergeți GPU-ul.

Închiriați RTX 6000Ada

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