RTX 4070 Ti SUPER vs RTX PRO 6000 Blackwell

Ada LovelacevsBlackwellUpdated 35 days ago

The NVIDIA RTX PRO 6000 Blackwell emerges as the winner for prevalent AI/ML use cases. Its 125 TFLOPS FP16/FP32 and 96 GB VRAM outperform the RTX 4070 Ti SUPER's 29.1 TFLOPS and 12 GB across training and large-model inference, justifying the $1.22 per hour average for superior throughput.

RTX 4070 Ti SUPER from $0.50/hrRTX PRO 6000 Blackwell from $1.89/hr

Specifications Compared

SpecRTX-4070RTX-PRO-6000-BLACKWELL
TDP200W400W
VRAM12 GB96 GB
CUDA Cores5,88821,760
Memory TypeGDDR6XGDDR7
ArchitectureAda LovelaceBlackwell
Form FactorsPCIePCIe
InterconnectNVLink
Tensor Cores184680
FP16 Performance29.1 TFLOPS125 TFLOPS
FP32 Performance29.1 TFLOPS125 TFLOPS
INT8 Performance466 TOPS2,000 TOPS
Memory Bandwidth504 GB/s1,792 GB/s

Performance Analysis

Compute differences dominate: the RTX PRO 6000 Blackwell delivers 125 TFLOPS in FP16 and FP32, exceeding the RTX 4070 Ti SUPER's 29.1 TFLOPS by over four times. For training, this accelerates gradient computations on large datasets; for inference, it supports higher query volumes. The FP8 capability of 2000 TFLOPS on the PRO 6000 further boosts quantized inference efficiency. Memory capacity sets them apart: 96 GB VRAM on the PRO 6000 Blackwell handles massive models intact, unlike the 12 GB limit of the Ti SUPER which forces smaller batches or offloading. Bandwidth of 1792 GB/s versus 504 GB/s minimizes latency in data-heavy operations, enabling larger batch sizes in fine-tuning without throughput drops. Power draw reflects this: 400W TDP for PRO 6000 versus 200W for Ti SUPER suits scaled deployments.

Live Cloud Pricing

Real-time prices from 25+ providers. Updated every 60 seconds.

RTX 4070 Ti SUPER

ProviderGPU ModelVRAMHost SpecsRegionPriceStatusAction
RunPod
RunPod
NVIDIA GeForce RTX 4070 Ti
12GB VRAM
$0.50/GPU/hr

RTX PRO 6000 Blackwell

ProviderGPU ModelVRAMHost SpecsRegionPriceStatusAction
VERDA
VERDA
2×NVIDIA RTX PRO 6000 Blackwell
96GB VRAM
$1.89/GPU/hr
$3.78/hr total (2×)
Available
VERDA
VERDA
NVIDIA RTX PRO 6000 Blackwell
96GB VRAM
$1.89/GPU/hr
Available

Compare real-time pricing across 25+ providers

When to Choose the RTX 4070 Ti SUPER

The RTX 4070 Ti SUPER excels in cost-sensitive scenarios like prototyping or lightweight inference. Its $0.09 per hour starting price and 12 GB VRAM suffice for models under 7 billion parameters or Stable Diffusion at 512x512 resolutions. Lower 200W TDP reduces cooling needs in small-scale cloud runs.

When to Choose the RTX PRO 6000 Blackwell

Opt for the RTX PRO 6000 Blackwell in demanding AI workflows requiring scale. The 96 GB VRAM and 1792 GB/s bandwidth manage 70B+ parameter LLMs during training, while NVLink interconnect enables multi-GPU synchronization absent on the Ti SUPER.

Use Cases

LLM Training
RTX PRO 6000 Blackwell

96 GB VRAM and 125 TFLOPS FP16 support large-scale training without memory constraints. The 4070 Ti SUPER's 12 GB limits it to small models.

LLM Inference
RTX PRO 6000 Blackwell

2000 TFLOPS FP8 and 1792 GB/s bandwidth enable high-throughput serving of massive models. Ti SUPER handles only modest loads at 29.1 TFLOPS.

Fine-tuning
RTX PRO 6000 Blackwell

NVLink and 96 GB VRAM facilitate multi-GPU fine-tuning on big datasets. 12 GB on Ti SUPER restricts batch sizes.

Stable Diffusion
RTX 4070 Ti SUPER

12 GB VRAM and 504 GB/s bandwidth suffice for standard image generation. Lower $0.09 per hour cost fits creative workflows.

Scientific Computing
Either

Ti SUPER works for FP32 tasks at 29.1 TFLOPS under budget; PRO 6000's 125 TFLOPS scales simulations with 96 GB VRAM.

Frequently Asked Questions

What is the VRAM difference between RTX 4070 Ti SUPER and RTX PRO 6000 Blackwell?

The RTX PRO 6000 Blackwell provides 96 GB GDDR7 VRAM, dwarfing the RTX 4070 Ti SUPER's 12 GB GDDR6X. This enables the PRO 6000 to load much larger models without fragmentation.

How do their FP32 performances compare?

RTX PRO 6000 Blackwell achieves 125 TFLOPS FP32, over four times the 29.1 TFLOPS of RTX 4070 Ti SUPER. Such disparity speeds scientific simulations and general compute.

Which GPU has higher memory bandwidth?

RTX PRO 6000 Blackwell offers 1792 GB/s, more than three times the 504 GB/s of RTX 4070 Ti SUPER. Higher bandwidth reduces bottlenecks in batch processing.

What are the cloud rental prices?

RTX 4070 Ti SUPER starts at $0.09 per hour averaging $0.17 across two offers. RTX PRO 6000 Blackwell begins at $0.59 per hour with $1.22 average over seven offers.

Does RTX PRO 6000 support NVLink?

Yes, RTX PRO 6000 Blackwell includes NVLink for multi-GPU connectivity, unlike the PCIe-only RTX 4070 Ti SUPER. This aids distributed training.

Which has lower power consumption?

RTX 4070 Ti SUPER draws 200W TDP versus 400W for RTX PRO 6000 Blackwell. Lower TDP suits edge or power-limited cloud instances.

Which is cheaper to rent, the RTX 4070 or the RTX PRO 6000?

Cloud rental prices for both the RTX 4070 and RTX PRO 6000 vary by provider, configuration, and availability. This page shows live pricing from 25+ providers updated every 60 seconds. Scroll to the Live Cloud Pricing section to compare current rates.

How much VRAM does the RTX 4070 have compared to the RTX PRO 6000?

The RTX 4070 has 12 GB of GDDR6X memory. The RTX PRO 6000 has 96 GB of GDDR7 memory.

Can I find RTX 4070 and RTX PRO 6000 GPUs available to rent right now?

Yes. This page shows real-time availability across 25+ cloud GPU providers. The Live Cloud Pricing section displays only in-stock offers with current pricing.

What is the main difference between the RTX 4070 and the RTX PRO 6000?

The RTX 4070 uses the Ada Lovelace architecture (2023) while the RTX PRO 6000 uses Blackwell (2025). The RTX PRO 6000 delivers 4.3x the FP16 throughput and 3.6x the memory bandwidth of the RTX 4070.

RTX 4070 Ti SUPER vs RTX PRO 6000 Blackwell: 12GB vs 96GB | GPUPerHour