RTX 5070 Ti vs RTX 5080?

Both have 16 GB. The RTX 5080 is listed with about 53.4 TFLOPS and 782 GB/s versus 44.3 TFLOPS and 734 GB/s, roughly 20% more compute.

RTX 5070 Ti vs RTX 4080?

Both have 16 GB. The RTX 4080 has slightly more FP32 (48.6 TFLOPS), while the RTX 5070 Ti has more bandwidth (734 vs 576 GB/s), which helps LLM inference.

Will my code run on Blackwell?

Blackwell has compute capability 12.0 and needs CUDA 12.8 or newer builds of PyTorch and inference engines. Check the CUDA and framework versions in your template or Docker image before you deploy.

How do I start an RTX 5070 Ti on Cloudj?

Choose a template, pick a live RTX 5070 Ti configuration (filter by country if location matters), select your SSH key and confirm the price. Then connect over SSH with the host and port shown on the instance page.

GPU Cloud · NVIDIA · Blackwell

Rent an NVIDIA RTX 5070 Ti GPU with 16 GB VRAM

Rent RTX 5070 Ti cloud GPU servers by the hour on Cloudj: 16 GB VRAM on NVIDIA Blackwell with about 44.3 TFLOPS FP32 and 734 GB/s of memory bandwidth. It is a strong 16 GB Blackwell card for creators and developers running SDXL, Flux FP8, 14B LLMs and LoRA training at a 300 W power limit. Use CUDA 12.8 or newer builds of your software, pick a live configuration and connect over SSH with your key.

Rent RTX 5070 Ti All GPUs

RTX 5070 Ti specifications

VRAM per GPU

16 GB

Architecture

NVIDIA Blackwell

Compute capability

FP32 compute

≈ 44.3 TFLOPS

Memory bandwidth

≈ 734 GB/s

Power limit

300 W

Values reported by the infrastructure provider for machines currently listed; real performance varies by machine.

Live RTX 5070 Ti configurations and prices

Out of stock right now

Browse available GPUs

What you can run on the RTX 5070 Ti cloud GPU

Flux FP8 and SDXL

44.3 TFLOPS and 16 GB run Flux FP8 and SDXL graphs with LoRAs at good speed.

Responsive 14B LLMs

734 GB/s gives fast token generation for 8B–14B quantized models.

LoRA training

Train SDXL and Flux LoRAs or QLoRA adapters on 7B–8B LLMs in BF16.

GPU rendering

Blackwell RT hardware and strong FP32 handle renders that fit in 16 GB.

Is the RTX 5070 Ti the right GPU for your workload?

Choose the RTX 5070 Ti if you need a Blackwell GPU with 16 GB of VRAM for inference, image generation, or code prototyping. Opt for a GPU with more VRAM if your models or batch sizes exceed 16 GB, or a smaller consumer GPU for lightweight debugging and basic tasks.

RTX 5070 Ti vs similar cloud GPUs

GPU	VRAM per GPU	FP32 compute	Power limit
NVIDIA RTX 5070 Ti	16 GB	≈ 44.3 TFLOPS	300 W
NVIDIA RTX 4060 Ti	16 GB	≈ 21.6 TFLOPS	165 W	Details →
NVIDIA RTX 3080 Ti	12 GB	≈ 35.1 TFLOPS	350 W	Details →
NVIDIA GTX 1080 Ti	11 GB	≈ 11 TFLOPS	250 W	Details →
NVIDIA GTX 1080	8 GB	≈ 7.8 TFLOPS	130 W	Details →

Guides for RTX 5070 Ti

GPU cloud Asia guide: Japan, Singapore, Korea and nearbyA practical GPU cloud Asia guide: which country codes to search for East and Southeast Asian users, a fallback order, and how to pair a GPU with a VPS.GPU cloud by location: how to pick a country for your GPUHow GPU cloud by location works on Cloudj: filter a live list of machines by country code, decide between near users, lowest price or data rules.GPU cloud Europe: choosing a country for your AI workloadsA practical guide to GPU cloud Europe searches: filter by several country codes at once, weigh Western, Nordic and Eastern hosts, and plan where data lives.GPU cloud North America: renting GPUs in the US and CanadaA GPU cloud North America guide: how to search US and CA hosts, read the results, pick a VPS front end and decide when a US GPU suits users elsewhere.

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RTX 5070 Ti cloud GPU: frequently asked questions

Rent the RTX 5070 Ti cloud GPU by the hour

Pick a live configuration, choose a template and connect over SSH with your key. Billing stops when you destroy the instance.

Rent RTX 5070 Ti All GPUs