GPU comparison

B200 vs Quadro RTX 5000

Specifications and current cloud pricing, side by side.

BlackwellvsTuringUpdated 34 days ago

The B200 wins for the most common use case of LLM training because its 2250 TFLOPS dense FP16 and 8000 GB/s bandwidth exceed the Quadro RTX 5000 89.2 TFLOPS dense FP16 and 448 GB/s bandwidth by wide margins.

B200 from $8.79/GPU/hrQuadro RTX 5000 from $0.82/GPU/hr

Right now, from live stock

  • Cheapest right now: Quadro RTX 5000 at $0.82/hr on Paperspace

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  • Most providers in stock: B200 (2)

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  • Best $ per TFLOPS FP16 dense right now: B200 ($0.0039 per TFLOPS-hour at 2,250 TFLOPS)

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Specifications Compared

SpecB200Quadro RTX 5000
TDP1000W230W
VRAM180-192 GB16 GB
CUDA Cores18,4323,072
FP4 (dense)9,000 TFLOPSNot published
FP8 (dense)4,500 TFLOPSNot published
Memory TypeHBM3eGDDR6
ArchitectureBlackwellTuring
FP16 (dense)2,250 TFLOPS89.2 TFLOPS
Form FactorsSXM, NVLPCIe
INT8 (dense)4,500 TOPS178.4 TOPS
InterconnectNVLink, PCIe 6.0, InfiniBandNVLink, PCIe 3.0
Tensor Cores576384
FP32 Performance75 TFLOPS11.2 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 TFLOPSNot published
INT8 (with sparsity)9,000 TOPSNot published

Performance Analysis

Dense FP16 performance stands at 2250 TFLOPS on the B200 against 89.2 TFLOPS dense FP16 on the Quadro RTX 5000 which produces a ratio of 2250 to 89.2. This delta allows the B200 to complete matrix operations in training and inference at a scale that requires far fewer GPUs than the Quadro RTX 5000 can support with its lower dense FP16 rating. Memory bandwidth of 8000 GB/s versus 448 GB/s directly influences achievable batch sizes because higher throughput moves larger tensors without stalls during forward and backward passes. FP32 figures of 75 TFLOPS dense on the B200 and 11.2 TFLOPS on the Quadro RTX 5000 follow the same pattern and confirm the B200 advantage when workloads rely on single precision calculations.

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
LyceumEurope1$8.79—Deploy
Vast.ai, US4$9.00$36.00Deploy

2 providers in stock, 3 offers (cheapest per provider shown). All B200 offers, price history and alerts

Quadro RTX 5000

ProviderRegionGPUsPer GPU / hrInstance / hrDeploy
Paperspaceny21$0.82—Deploy

1 provider in stock, 2 offers (cheapest per provider shown). All Quadro RTX 5000 offers, price history and alerts

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When to Choose the B200

The B200 suits large scale LLM training and inference because its 2250 TFLOPS dense FP16 and 8000 GB/s bandwidth support models that exceed 16 GB VRAM limits.

When to Choose the Quadro RTX 5000

The Quadro RTX 5000 fits environments where 230W TDP and PCIe form factor reduce infrastructure demands compared to 1000W SXM or NVL options. Workloads that remain within 16 GB VRAM and require only 89.2 TFLOPS dense FP16 or 178.4 TOPS dense INT8 operate adequately on this card without excess power draw.

Use Cases

LLM Training
B200

The B200 delivers 2250 TFLOPS dense FP16 and 8000 GB/s bandwidth that enable training runs beyond the 16 GB VRAM capacity of the Quadro RTX 5000.

LLM Inference
B200

Dense FP16 performance of 2250 TFLOPS on the B200 supports higher throughput than the 89.2 TFLOPS dense FP16 available on the Quadro RTX 5000.

Fine-tuning
B200

The B200 4500 TFLOPS dense FP8 rating handles parameter updates at scales that exceed the Quadro RTX 5000 capabilities.

Stable Diffusion
B200

Memory bandwidth of 8000 GB/s on the B200 permits larger batch processing than the 448 GB/s on the Quadro RTX 5000.

Scientific Computing
B200

FP32 performance reaches 75 TFLOPS on the B200 compared to 11.2 TFLOPS on the Quadro RTX 5000 for compute intensive simulations.

Frequently Asked Questions

What is the memory bandwidth comparison between these GPUs?▾

The B200 reaches 8000 GB/s and the Quadro RTX 5000 reaches 448 GB/s. Bandwidth affects how quickly data moves during training or inference passes.

Which GPU offers higher dense FP16 performance?▾

The B200 supplies 2250 TFLOPS dense FP16 while the Quadro RTX 5000 supplies 89.2 TFLOPS dense FP16. The ratio favors the B200 for matrix heavy workloads.

How do the TDP values differ?▾

The B200 TDP is 1000W and the Quadro RTX 5000 TDP is 230W. Power requirements influence cooling and power supply choices in a deployment.

Can the Quadro RTX 5000 run modern LLM inference?▾

The Quadro RTX 5000 supports inference within its 16 GB VRAM limit and 89.2 TFLOPS dense FP16 rating. Larger models require the B200 180 to 192 GB capacity instead.

Which is cheaper to rent, the B200 or the Quadro RTX 5000?▾

Cloud rental prices for both the B200 and Quadro RTX 5000 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 Quadro RTX 5000?▾

The B200 has 180 to 192 GB of HBM3e memory. The Quadro RTX 5000 has 16 GB of GDDR6 memory.

Can I find B200 and Quadro RTX 5000 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 Quadro RTX 5000?▾

The B200 uses the Blackwell architecture (2024) while the Quadro RTX 5000 uses Turing (2018). The B200 delivers 25.2x the dense FP16 throughput (2,250 vs 89.2 TFLOPS, both without sparsity) and 17.9x the memory bandwidth of the Quadro RTX 5000.

Rent these GPUs

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How this page is made

  • Specifications come from the NVIDIA, AMD and Intel datasheets for the B200 and the Quadro RTX 5000. 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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