GPU comparison

B200 vs Quadro P6000

Specifications and current cloud pricing, side by side.

BlackwellvsPascalUpdated 34 days ago

The B200 wins for the most common use case of LLM training because its 2250 TFLOPS FP16 dense rating and 180 to 192 GB VRAM exceed the Quadro P6000 12.6 TFLOPS FP32 rating and 24 GB capacity by wide margins.

B200 from $8.23/GPU/hrQuadro P6000 from $1.10/GPU/hr

Right now, from live stock

  • Cheapest right now: Quadro P6000 at $1.10/hr on Paperspace

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  • Most providers in stock: B200 (3)

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Specifications Compared

SpecB200Quadro P6000
TDP1000W250W
VRAM180-192 GB24 GB
CUDA Cores18,4323,840
FP4 (dense)9,000 TFLOPSNot published
FP8 (dense)4,500 TFLOPSNot published
Memory TypeHBM3eGDDR5X
ArchitectureBlackwellPascal
FP16 (dense)2,250 TFLOPSNot published
Form FactorsSXM, NVLPCIe
INT8 (dense)4,500 TOPSNot published
InterconnectNVLink, PCIe 6.0, InfiniBandPCIe 3.0
Tensor Cores576Not published
FP32 Performance75 TFLOPS12.6 TFLOPS
FP64 Performance37 TFLOPSNot published
Memory Bandwidth8,000 GB/s432 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

The B200 delivers FP16 dense performance at 2250 TFLOPS while the Quadro P6000 provides no published FP16 figure so only FP32 values allow comparison at 75 TFLOPS dense for the B200 against 12.6 TFLOPS for the Quadro P6000. Memory bandwidth at 8000 GB per second on the B200 supports substantially larger batch sizes than the 432 GB per second on the Quadro P6000 during training or inference sessions. FP8 dense throughput reaches 4500 TFLOPS on the B200 with no corresponding figure available for the Quadro P6000 limiting direct low precision analysis to the published dense FP32 numbers alone.

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-HEL8$8.23$65.84Deploy
LyceumEurope1$8.79—Deploy
Vast.ai, US4$9.00$36.00Deploy

3 providers in stock, 5 offers (cheapest per provider shown). All B200 offers, price history and alerts

Quadro P6000

ProviderRegionGPUsPer GPU / hrInstance / hrDeploy
Paperspaceca11$1.10—Deploy

1 provider in stock, 6 offers (cheapest per provider shown). All Quadro P6000 offers, price history and alerts

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When to Choose the B200

The B200 suits workloads that require 180 to 192 GB HBM3e VRAM and 8000 GB per second bandwidth such as large scale model training. Its 2250 TFLOPS FP16 dense rating and 75 TFLOPS FP32 rating enable faster execution than the Quadro P6000 12.6 TFLOPS FP32 rating on compatible tasks. The 1000 W TDP remains acceptable when maximum throughput justifies the power budget.

When to Choose the Quadro P6000

The Quadro P6000 fits environments constrained to 250 W TDP and PCIe form factor with 24 GB GDDR5X VRAM sufficient for smaller models. Its 12.6 TFLOPS FP32 rating handles legacy scientific computing jobs that do not demand the B200 2250 TFLOPS FP16 dense capability. Lower interconnect requirements via PCIe 3.0 also align with older system designs.

Use Cases

LLM Training
B200

The B200 supplies 2250 TFLOPS FP16 dense and 180 to 192 GB VRAM while the Quadro P6000 offers only 12.6 TFLOPS FP32.

LLM Inference
B200

The B200 provides 4500 TFLOPS FP8 dense and 8000 GB per second bandwidth exceeding the Quadro P6000 published limits.

Fine-tuning
B200

The B200 75 TFLOPS FP32 rating and large memory allow efficient adaptation compared with the Quadro P6000 12.6 TFLOPS FP32.

Stable Diffusion
Either

Both GPUs can run the workload though the B200 2250 TFLOPS FP16 dense accelerates generation while the Quadro P6000 24 GB VRAM suffices for moderate resolutions.

Scientific Computing
Quadro P6000

The Quadro P6000 250 W TDP and PCIe 3.0 interconnect match older clusters where the B200 1000 W TDP exceeds power limits.

Frequently Asked Questions

What is the FP32 performance difference between B200 and Quadro P6000?▾

The B200 reaches 75 TFLOPS FP32 while the Quadro P6000 reaches 12.6 TFLOPS FP32 creating a substantial gap in single precision workloads.

What memory bandwidth do the GPUs deliver?▾

The B200 achieves 8000 GB per second bandwidth and the Quadro P6000 achieves 432 GB per second bandwidth.

Which GPU has higher power consumption?▾

The B200 lists 1000 W TDP compared with the Quadro P6000 250 W TDP.

Can the Quadro P6000 run FP16 workloads?▾

The Quadro P6000 lists no published FP16 figure so only its 12.6 TFLOPS FP32 rating applies to precision comparisons.

What interconnect options exist for each card?▾

The B200 supports NVLink and PCIe 6.0 while the Quadro P6000 uses PCIe 3.0.

Which is cheaper to rent, the B200 or the Quadro P6000?▾

Cloud rental prices for both the B200 and Quadro P6000 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 P6000?▾

The B200 has 180 to 192 GB of HBM3e memory. The Quadro P6000 has 24 GB of GDDR5X memory.

Can I find B200 and Quadro P6000 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 P6000?▾

The B200 uses the Blackwell architecture (2024) while the Quadro P6000 uses Pascal (2016). The B200 has 180-192 GB of HBM3e at 8,000 GB/s; the Quadro P6000 has 24 GB of GDDR5X at 432 GB/s, so the B200 has 18.5x the memory bandwidth of the Quadro P6000.

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Related comparisons

How this page is made

  • Specifications come from the NVIDIA, AMD and Intel datasheets for the B200 and the Quadro P6000. 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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