GPU comparison

RTX 3070 vs RTX PRO 6000

Specifications and current cloud pricing, side by side.

AmperevsBlackwellUpdated 33 days ago

The RTX PRO 6000 wins for the most common large-scale training and inference tasks. Its 96 GB VRAM and 503.8 TFLOPS FP16 dense rating exceed the corresponding 8 GB and 40.6 TFLOPS values of the RTX 3070 by wide margins.

RTX 3070 listed from $0.13/GPU/hrRTX PRO 6000 listed from $0.69/GPU/hr

Right now, from live stock

  • Cheapest right now: RTX PRO 6000 at $0.69/hr on RunPod

    Deploy
  • Most providers in stock: RTX PRO 6000 (4)

    See all offers

Specifications Compared

SpecRTX 3070RTX PRO 6000
TDP220W600W
VRAM8 GB96 GB
CUDA Cores5,88824,064
FP4 (dense)Not published2,015.2 TFLOPS
FP8 (dense)Not published1,007.6 TFLOPS
Memory TypeGDDR6GDDR7
ArchitectureAmpereBlackwell
FP16 (dense)40.6 TFLOPS503.8 TFLOPS
Form FactorsPCIePCIe
INT8 (dense)162.6 TOPS1,007.6 TOPS
InterconnectPCIe 4.0PCIe 5.0
Tensor Cores184752
FP32 Performance20.3 TFLOPS126 TFLOPS
Memory Bandwidth448 GB/s1,792 GB/s
FP4 (with sparsity)Not published4,030.4 TFLOPS
FP8 (with sparsity)Not published2,015.2 TFLOPS
FP16 (with sparsity)81.3 TFLOPS1,007.6 TFLOPS
INT8 (with sparsity)325.2 TOPS2,015.2 TOPS

Performance Analysis

The FP16 dense figure reaches 40.6 TFLOPS on the RTX 3070 and 503.8 TFLOPS on the RTX PRO 6000. The FP16 figure with sparsity reaches 81.3 TFLOPS on the RTX 3070 and 1007.6 TFLOPS on the RTX PRO 6000. The FP16 dense to FP32 ratio equals two times on the RTX 3070 and four times on the RTX PRO 6000. Higher memory bandwidth of 1792 GB/s on the RTX PRO 6000 compared with 448 GB/s on the RTX 3070 permits larger batch sizes during both training and inference. The INT8 dense rating equals 162.6 TOPS on the RTX 3070 and 1007.6 TOPS on the RTX PRO 6000.

Current On-Demand Offers

Cheapest secure on-demand offer per provider that is reported in stock right now, per GPU per hour; multi-GPU instances show the whole-instance price alongside. Deploy opens the DeployGPU console for providers on the platform, otherwise the provider's own site. Stock is rechecked every minute.

RTX 3070

RTX 3070 is not offered on-demand by any provider we track right now. See the RTX 3070 rental page for last-seen listed prices and a price alert.

RTX PRO 6000

ProviderRegionGPUsPer GPU / hrInstance / hrDeploy
RunPodglobal1$0.69—Deploy
Vast.aiCzechia, CZ1$2.02—Deploy
VERDAFIN-HEL2$2.40$4.79Deploy
LeaderGPUThe Netherlands1$2.88—Deploy

4 providers in stock, 10 offers (cheapest per provider shown). All RTX PRO 6000 offers, price history and alerts

Which GPU to watchWatch the price of

Notify me when RTX 3070 drops below a price

One email when the cheapest in-stock on-demand price per GPU-hour falls below your threshold.

QuantaCloud

Comparing providers? We broker across all of them.

Stop tab-switching between pricing pages. Tell us what you need, 16+ GPUs reserved or cluster capacity, and we return one quote at partner rates within 24 hours.

No waitlist24hr quote turnaroundInfiniBand fabric

Compare real-time pricing across 25+ providers

When to Choose the RTX 3070

The RTX 3070 suits environments where power draw must remain at 220W. Its 8 GB VRAM capacity fits smaller models that do not exceed that limit. The card also matches workloads that require only 40.6 TFLOPS FP16 dense performance.

When to Choose the RTX PRO 6000

The RTX PRO 6000 suits workloads that need 96 GB VRAM and 1792 GB/s bandwidth. Its 503.8 TFLOPS FP16 dense rating supports larger models than the 40.6 TFLOPS available on the RTX 3070. The 600W TDP rating accommodates sustained operation at these higher throughput levels.

Use Cases

LLM Training
RTX PRO 6000

The RTX PRO 6000 supplies 96 GB VRAM and 503.8 TFLOPS FP16 dense performance.

LLM Inference
RTX PRO 6000

The RTX PRO 6000 supplies 1792 GB/s bandwidth and 1007.6 TFLOPS FP16 with sparsity.

Fine-tuning
RTX PRO 6000

The RTX PRO 6000 supplies 96 GB VRAM and 1007.6 TOPS INT8 dense performance.

Stable Diffusion
RTX 3070

The RTX 3070 supplies adequate 8 GB VRAM at a 220W TDP for smaller image models.

Scientific Computing
RTX PRO 6000

The RTX PRO 6000 supplies 126 TFLOPS FP32 performance and 1792 GB/s bandwidth.

Frequently Asked Questions

How does FP16 dense performance compare?▾

The RTX 3070 reaches 40.6 TFLOPS FP16 dense. The RTX PRO 6000 reaches 503.8 TFLOPS FP16 dense.

What TDP values apply to each card?▾

The RTX 3070 lists 220W TDP. The RTX PRO 6000 lists 600W TDP.

Which card offers higher memory bandwidth?▾

The RTX PRO 6000 provides 1792 GB/s. The RTX 3070 provides 448 GB/s.

What FP32 ratings are published?▾

The RTX 3070 lists 20.3 TFLOPS FP32. The RTX PRO 6000 lists 126 TFLOPS FP32.

How do the INT8 dense ratings differ?▾

The RTX 3070 reaches 162.6 TOPS INT8 dense. The RTX PRO 6000 reaches 1007.6 TOPS INT8 dense.

Which is cheaper to rent, the RTX 3070 or the RTX PRO 6000?▾

Cloud rental prices for both the RTX 3070 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 3070 have compared to the RTX PRO 6000?▾

The RTX 3070 has 8 GB of GDDR6 memory. The RTX PRO 6000 has 96 GB of GDDR7 memory.

Can I find RTX 3070 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 3070 and the RTX PRO 6000?▾

The RTX 3070 uses the Ampere architecture (2020) while the RTX PRO 6000 uses Blackwell (2025). The RTX PRO 6000 delivers 12.4x the dense FP16 throughput (503.8 vs 40.6 TFLOPS, both without sparsity) and 4.0x the memory bandwidth of the RTX 3070.

Rent these GPUs

Each GPU page lists every current on-demand offer by provider, per GPU-hour, updated every minute.

Related comparisons

How this page is made

  • Specifications come from the NVIDIA, AMD and Intel datasheets for the RTX 3070 and the RTX PRO 6000. Dense and sparse throughput are listed separately.
  • Prices and availability are live: every offer shown is an in-stock, on-demand listing from a provider we track, rechecked every minute.
  • The written comparison (overview, performance notes, when to choose each card, verdict, use cases and FAQ) was drafted with an AI model from the specification table above and passed an automated check that rejects any figure not in that table. It was last generated on . It contains no prices; those are always read live.
  • Read how we collect the data, or report an error on this page.

Next steps