RTX 5070 Ti
The NVIDIA GeForce RTX 5070 Ti is a high-end graphics card engineered for advanced gaming, AI acceleration, and demanding rendering workloads. Featuring NVIDIA Blackwell architecture, it combines powerful tensor processing, high-speed memory bandwidth, and next-generation ray tracing technologies to deliver exceptional performance for modern gaming and professional creative applications.
Compatibility results for
RTX 5070 Ti
based on VRAM, TFLOPS, memory bandwidth, and compute resources.
LLM compatibility for RTX 5070 Ti
LLM model
Result
Score
GPU specs used
Model requirements
Run mode
Buyer note
Llama / Mistral 7B-8B
Chat, content generation, general use
Excellent
16GB VRAM / 44.4 TFLOPS / 8,960 CUDA / 896 GB/s
Minimum 6GB VRAM, better 8GB+ / min 8 TFLOPS / better 20+ TFLOPS
Good for Q8 or lighter FP16 workloads
A very strong fit for this model class with smoother real-world performance.
Qwen / Llama 13B-14B
Stronger chat, light coding, text analysis
Good
16GB VRAM / 44.4 TFLOPS / 8,960 CUDA / 896 GB/s
Minimum 10GB VRAM, better 16GB+ / min 18 TFLOPS / better 35+ TFLOPS
Recommended: Q5 or Q6
VRAM is suitable; final speed depends on TFLOPS, bandwidth, and model settings.
Qwen / Gemma 27B-32B
Better coding and reasoning workloads
Not recommended
16GB VRAM / 44.4 TFLOPS / 8,960 CUDA / 896 GB/s
Minimum 18GB VRAM, better 24GB+ / min 35 TFLOPS / better 60+ TFLOPS
Not recommended for this model class
This GPU does not have enough VRAM for this model class.
Mixtral / MoE Models
Mixture-of-Experts model families
Not recommended
16GB VRAM / 44.4 TFLOPS / 8,960 CUDA / 896 GB/s
Minimum 24GB VRAM, better 48GB+ / min 45 TFLOPS / better 80+ TFLOPS
Not recommended for this model class
This GPU does not have enough VRAM for this model class.
Llama / Qwen 70B
Large and demanding model families
Not recommended
16GB VRAM / 44.4 TFLOPS / 8,960 CUDA / 896 GB/s
Minimum 40GB VRAM, better 48GB+ / min 60 TFLOPS / better 100+ TFLOPS
Not recommended for this model class
This GPU does not have enough VRAM for this model class.
Hourly marketplace rates
Provider
Status
Hourly rate
Daily estimate
Source
Vast.ai
Not listed
Not listed on this provider
-
https://vast.ai/pricing#gpu-grid
RunPod
Not listed
Not listed on this provider
-
https://www.runpod.io/pricing
TensorDock
Not listed
Not listed on this provider
-
https://www.tensordock.com/cloud-gpus
Clore.ai
Not listed
Not listed on this provider
-
https://docs.clore.ai/guides
SaladCloud
Not listed
Not listed on this provider
-
https://salad.com/pricing
Akash Network
Not listed
Not listed on this provider
-
https://akash.network/pricing/gpus/
Aethir
Not listed
Not listed on this provider
-
No public GPU price feed configured
| GPU Architecture | NVIDIA Blackwell |
| CUDA Cores | 8960 |
| VRAM | 16GB GDDR7 |
| Memory Bandwidth | 896 GB/s |
| Tensor Cores | 280 |
| FP32 Performance | 44.4 TFLOPS |
| Power Consumption | 300W |
| Ray Tracing | Supported |
| DLSS Support | DLSS 4 |
| Recommended Resolution | 4K Gaming |
