GPU comparison

RTX 3070 vs RTX 6000 Ada

Specifications and current cloud pricing, side by side.

AmperevsAda LovelaceUpdated 32 days ago

The RTX 6000 Ada wins for the most common use case of LLM training because its 48 GB GDDR6 capacity and 364 TFLOPS FP16 dense performance exceed the RTX 3070 specifications by substantial margins.

RTX 3070 listed from $0.13/GPU/hrRTX 6000 Ada listed from $0.78/GPU/hr

Right now, from live stock

  • Cheapest right now: RTX 6000 Ada at $0.78/hr on QuantaCloud

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  • Most providers in stock: RTX 6000 Ada (4)

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Specifications Compared

SpecRTX 3070RTX 6000 Ada
TDP220W300W
VRAM8 GB48 GB
CUDA Cores5,88818,176
FP8 (dense)Not published728.5 TFLOPS
Memory TypeGDDR6GDDR6
ArchitectureAmpereAda Lovelace
FP16 (dense)40.6 TFLOPS364 TFLOPS
Form FactorsPCIePCIe
INT8 (dense)162.6 TOPS728.5 TOPS
InterconnectPCIe 4.0PCIe 4.0
Tensor Cores184568
FP32 Performance20.3 TFLOPS91.1 TFLOPS
Memory Bandwidth448 GB/s960 GB/s
FP8 (with sparsity)Not published1,457 TFLOPS
FP16 (with sparsity)81.3 TFLOPS728 TFLOPS
INT8 (with sparsity)325.2 TOPS1,457 TOPS

Performance Analysis

The RTX 6000 Ada delivers FP16 dense performance of 364 TFLOPS compared to the RTX 3070 FP16 dense performance of 40.6 TFLOPS. This ninefold increase in dense FP16 throughput supports larger batch sizes during training and inference workloads. FP32 figures show the RTX 6000 Ada at 91.1 TFLOPS against the RTX 3070 at 20.3 TFLOPS while INT8 dense values reach 728.5 TOPS on the RTX 6000 Ada versus 162.6 TOPS on the RTX 3070.

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 6000 Ada

ProviderRegionGPUsPer GPU / hrInstance / hrDeploy
QuantaCloudus-midwest-18$0.78$6.21Deploy
Massed Computeus-central-22$0.79$1.58Deploy
LeaderGPUThe Netherlands8$0.91$7.29Deploy
VERDAFIN-HEL1$1.34—Deploy

4 providers in stock, 17 offers (cheapest per provider shown). All RTX 6000 Ada offers, price history and alerts

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When to Choose the RTX 3070

The RTX 3070 suits scenarios with power constraints at 220W TDP and workloads that fit within 8 GB GDDR6. Inference tasks on smaller models benefit from its FP16 dense rating of 40.6 TFLOPS when memory bandwidth of 448 GB/s proves adequate.

When to Choose the RTX 6000 Ada

The RTX 6000 Ada fits large scale training and inference that require 48 GB GDDR6 along with FP16 dense performance of 364 TFLOPS. Scientific computing jobs gain from its 960 GB/s memory bandwidth and 91.1 TFLOPS FP32 rating.

Use Cases

LLM Training
RTX 6000 Ada

LLM Inference
RTX 6000 Ada

The RTX 6000 Ada supports larger batch sizes with 960 GB/s memory bandwidth and 728.5 TOPS INT8 dense compared to the RTX 3070 values of 448 GB/s and 162.6 TOPS.

Fine-tuning
RTX 6000 Ada

The RTX 6000 Ada handles fine-tuning with 48 GB GDDR6 and FP32 performance of 91.1 TFLOPS whereas the RTX 3070 limits capacity to 8 GB GDDR6 and 20.3 TFLOPS FP32.

Stable Diffusion
RTX 3070

The RTX 3070 meets Stable Diffusion needs at 220W TDP with 8 GB GDDR6 when the workload does not require the higher 300W TDP or 48 GB of the RTX 6000 Ada.

Scientific Computing
RTX 6000 Ada

The RTX 6000 Ada delivers 91.1 TFLOPS FP32 and 960 GB/s bandwidth for scientific computing while the RTX 3070 provides 20.3 TFLOPS FP32 and 448 GB/s bandwidth.

Frequently Asked Questions

What is the FP16 dense performance of each GPU?▾

The RTX 3070 achieves 40.6 TFLOPS FP16 dense and the RTX 6000 Ada achieves 364 TFLOPS FP16 dense. These figures determine training and inference speeds for half precision workloads.

How does memory bandwidth differ between the two GPUs?▾

The RTX 3070 provides 448 GB/s memory bandwidth and the RTX 6000 Ada provides 960 GB/s memory bandwidth. Higher bandwidth supports faster data movement during computation.

What TDP values apply to the RTX 3070 and RTX 6000 Ada?▾

The RTX 3070 operates at 220W TDP and the RTX 6000 Ada operates at 300W TDP. Power draw influences cooling and electricity requirements in deployments.

Which GPU offers higher INT8 dense performance?▾

The RTX 6000 Ada reaches 728.5 TOPS INT8 dense while the RTX 3070 reaches 162.6 TOPS INT8 dense. This gap matters for quantized inference tasks.

Do both GPUs use the same interconnect?▾

Both the RTX 3070 and RTX 6000 Ada use PCIe 4.0 interconnect in PCIe form factors. Data transfer rates between host and device remain comparable on this standard.

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

Cloud rental prices for both the RTX 3070 and RTX 6000 Ada 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 6000 Ada?▾

The RTX 3070 has 8 GB of GDDR6 memory. The RTX 6000 Ada has 48 GB of GDDR6 memory.

Can I find RTX 3070 and RTX 6000 Ada 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 6000 Ada?▾

The RTX 3070 uses the Ampere architecture (2020) while the RTX 6000 Ada uses Ada Lovelace (2022). The RTX 6000 Ada delivers 9.0x the dense FP16 throughput (364 vs 40.6 TFLOPS, both without sparsity) and 2.1x the memory bandwidth of the RTX 3070.

Rent these GPUs

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Related comparisons

How this page is made

  • Specifications come from the NVIDIA, AMD and Intel datasheets for the RTX 3070 and the RTX 6000 Ada. 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.

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