GPU comparison

B200 vs RTX 3070

Specifications and current cloud pricing, side by side.

BlackwellvsAmpereUpdated 32 days ago

The B200 wins for the most common use case of LLM training because its FP16 dense performance of 2250 TFLOPS and memory capacity of 180 to 192 GB deliver the scale required for modern models while the RTX 3070 remains limited by its 40.6 TFLOPS dense FP16 and 8 GB memory.

B200 listed from $7.99/GPU/hrRTX 3070 listed from $0.13/GPU/hr

Right now, from live stock

Specifications Compared

SpecB200RTX 3070
TDP1000W220W
VRAM180-192 GB8 GB
CUDA Cores18,4325,888
FP4 (dense)9,000 TFLOPSNot published
FP8 (dense)4,500 TFLOPSNot published
Memory TypeHBM3eGDDR6
ArchitectureBlackwellAmpere
FP16 (dense)2,250 TFLOPS40.6 TFLOPS
Form FactorsSXM, NVLPCIe
INT8 (dense)4,500 TOPS162.6 TOPS
InterconnectNVLink, PCIe 6.0, InfiniBandPCIe 4.0
Tensor Cores576184
FP32 Performance75 TFLOPS20.3 TFLOPS
FP64 Performance37 TFLOPSNot published
Memory Bandwidth8,000 GB/s448 GB/s
FP4 (with sparsity)18,000 TFLOPSNot published
FP8 (with sparsity)9,000 TFLOPSNot published
FP16 (with sparsity)4,500 TFLOPS81.3 TFLOPS
INT8 (with sparsity)9,000 TOPS325.2 TOPS

Performance Analysis

The FP16 dense performance of 2250 TFLOPS on the B200 exceeds the 40.6 TFLOPS dense figure on the RTX 3070 by a wide margin. The FP16 with sparsity performance of 4500 TFLOPS on the B200 exceeds the 81.3 TFLOPS with sparsity figure on the RTX 3070 by a wide margin. Such deltas indicate that training and inference tasks complete in far less time on the B200 when using dense FP16 or FP16 with sparsity. Memory bandwidth of 8000 GB/s on the B200 supports larger batch sizes than the 448 GB/s bandwidth on the RTX 3070. The FP32 performance of 75 TFLOPS on the B200 supports higher throughput in precision sensitive workloads than the 20.3 TFLOPS 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.

B200

ProviderRegionGPUsPer GPU / hrInstance / hrDeploy
VERDAFIN-HEL1$7.99—Deploy
RunPodglobal1$7.99—Deploy
LyceumEurope1$8.79—Deploy
Vast.ai, US4$9.00$36.00Deploy

4 providers in stock, 6 offers (cheapest per provider shown). All B200 offers, price history and alerts

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.

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When to Choose the B200

The B200 suits enterprise scale LLM training and inference where FP16 dense performance of 2250 TFLOPS and memory capacity of 180 to 192 GB enable processing of large models. High memory bandwidth of 8000 GB/s further supports efficient handling of extensive datasets in scientific computing applications.

When to Choose the RTX 3070

The RTX 3070 suits consumer level tasks such as Stable Diffusion where FP32 performance of 20.3 TFLOPS and TDP of 220 W provide adequate capability at lower power draw. Its 8 GB memory capacity meets requirements for smaller scale fine tuning workloads.

Use Cases

LLM Training
B200

The B200 provides FP16 dense performance of 2250 TFLOPS and memory capacity of 180 to 192 GB that support large model training.

LLM Inference
B200

The B200 delivers FP16 with sparsity performance of 4500 TFLOPS that accelerates inference throughput compared to the RTX 3070.

Fine-tuning
B200

The B200 memory bandwidth of 8000 GB/s enables efficient fine tuning of models that exceed the 8 GB capacity of the RTX 3070.

Stable Diffusion
RTX 3070

The RTX 3070 TDP of 220 W and FP32 performance of 20.3 TFLOPS suffice for consumer Stable Diffusion workloads.

Scientific Computing
B200

The B200 FP32 performance of 75 TFLOPS and memory capacity of 180 to 192 GB handle demanding scientific simulations.

Frequently Asked Questions

How does FP16 dense performance compare between the B200 and RTX 3070?▾

The B200 achieves 2250 TFLOPS dense while the RTX 3070 achieves 40.6 TFLOPS dense. The higher figure on the B200 supports faster training and inference.

What TDP values apply to the B200 and RTX 3070?▾

The B200 has a TDP of 1000 W and the RTX 3070 has a TDP of 220 W. Power requirements differ substantially between the two GPUs.

Can the RTX 3070 handle FP8 workloads?▾

FP8 performance is not published by the vendor for the RTX 3070. The B200 provides FP8 dense performance of 4500 TFLOPS.

What interconnect options exist on each GPU?▾

The B200 supports NVLink and PCIe 6.0 while the RTX 3070 supports PCIe 4.0. Interconnect choices affect multi GPU scaling.

Which is cheaper to rent, the B200 or the RTX 3070?▾

Cloud rental prices for both the B200 and RTX 3070 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 B200 have compared to the RTX 3070?▾

The B200 has 180 to 192 GB of HBM3e memory. The RTX 3070 has 8 GB of GDDR6 memory.

Can I find B200 and RTX 3070 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 B200 and the RTX 3070?▾

The B200 uses the Blackwell architecture (2024) while the RTX 3070 uses Ampere (2020). The B200 delivers 55.4x the dense FP16 throughput (2,250 vs 40.6 TFLOPS, both without sparsity) and 17.9x the memory bandwidth of the RTX 3070.

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How this page is made

  • Specifications come from the NVIDIA, AMD and Intel datasheets for the B200 and the RTX 3070. 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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