GPU comparison

B300 vs P100

Specifications and current cloud pricing, side by side.

Blackwell UltravsPascalUpdated 34 days ago

The B300 wins for the most common use case of LLM training. Its 2250 TFLOPS FP16 dense rating and 8000 GB/s bandwidth deliver the throughput and capacity required for contemporary models while the P100 18.7 TFLOPS FP16 dense rating falls short.

B300 from $0.50/GPU/hrP100 from $0.09/GPU/hr

Right now, from live stock

  • Cheapest right now: P100 at $0.09/hr on Vast.ai

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  • Most providers in stock: B300 and P100 (1 each)

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  • Best $ per TFLOPS FP16 dense right now: B300 ($0.0002 per TFLOPS-hour at 2,250 TFLOPS)

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Specifications Compared

SpecB300P100
TDP1400W250W
VRAM262-288 GB16 GB
CUDA CoresNot published3,584
FP4 (dense)13,500 TFLOPSNot published
FP8 (dense)4,500 TFLOPSNot published
Memory TypeHBM3eHBM2
ArchitectureBlackwell UltraPascal
FP16 (dense)2,250 TFLOPS18.7 TFLOPS
Form FactorsSXM6SXM2, PCIe
INT8 (dense)187.5 TOPSNot published
InterconnectNVLink, PCIe 6.0, InfiniBandNVLink, PCIe 3.0
FP32 Performance75 TFLOPS9.3 TFLOPS
FP64 Performance1.25 TFLOPS4.7 TFLOPS
Memory Bandwidth8,000 GB/s732 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)375 TOPSNot published

Performance Analysis

The FP16 dense rating reaches 2250 TFLOPS on the B300 against 18.7 TFLOPS on the P100. This gap means training workloads that rely on dense FP16 operations complete far more matrix multiplications per second on the newer GPU. The FP32 figure of 75 TFLOPS on the B300 versus 9.3 TFLOPS on the P100 further widens the advantage for mixed precision scientific kernels. Memory bandwidth of 8000 GB/s on the B300 compared with 732 GB/s on the P100 permits substantially larger batch sizes before data movement becomes the limiter. When sparsity is enabled the B300 FP16 rating of 4500 TFLOPS still exceeds the P100 dense FP16 rating of 18.7 TFLOPS by a wide margin.

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.

B300

ProviderRegionGPUsPer GPU / hrInstance / hrDeploy
RunPodglobal1$0.50—Deploy

1 provider in stock, 1 offer. All B300 offers, price history and alerts

P100

ProviderRegionGPUsPer GPU / hrInstance / hrDeploy
Vast.aiTexas, US1$0.09—Deploy

1 provider in stock, 1 offer. All P100 offers, price history and alerts

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When to Choose the B300

The B300 suits large scale LLM training sessions that require 2250 TFLOPS FP16 dense throughput and 262 GB to 288 GB VRAM capacity.

When to Choose the P100

The P100 fits power constrained environments limited to 250W TDP or legacy systems that only support SXM2 and PCIe 3.0 interconnect. Tasks that need only 9.3 TFLOPS FP32 and 18.7 TFLOPS FP16 dense remain viable on this GPU without requiring newer platform upgrades.

Use Cases

LLM Training
B300

The B300 supplies 2250 TFLOPS FP16 dense performance and 262 GB to 288 GB VRAM that exceed the P100 18.7 TFLOPS FP16 dense rating.

LLM Inference
B300

FP8 dense performance of 4500 TFLOPS on the B300 supports higher throughput than the P100 can achieve with its published FP16 dense rating of 18.7 TFLOPS.

Fine-tuning
B300

The B300 memory bandwidth of 8000 GB/s allows larger batch sizes during fine tuning compared with the P100 bandwidth of 732 GB/s.

Stable Diffusion
B300

The B300 FP16 dense rating of 2250 TFLOPS accelerates diffusion model steps beyond the P100 FP16 dense rating of 18.7 TFLOPS.

Scientific Computing
Either

The P100 9.3 TFLOPS FP32 rating suffices for modest workloads while the B300 75 TFLOPS FP32 rating handles larger simulations.

Frequently Asked Questions

What FP16 dense performance does the B300 provide versus the P100?▾

The B300 lists 2250 TFLOPS FP16 dense while the P100 lists 18.7 TFLOPS FP16 dense. This difference arises from the Blackwell Ultra architecture versus the Pascal architecture.

What TDP values are specified for the B300 and P100?▾

The B300 carries a 1400W TDP rating and the P100 carries a 250W TDP rating. Power delivery infrastructure must accommodate the higher figure on the B300.

Which interconnect options appear on each card?▾

The B300 supports NVLink together with PCIe 6.0 and InfiniBand while the P100 supports NVLink together with PCIe 3.0.

What FP32 performance is published for both GPUs?▾

The B300 publishes 75 TFLOPS FP32 and the P100 publishes 9.3 TFLOPS FP32. These figures apply to dense operations in both cases.

Which is cheaper to rent, the B300 or the P100?▾

Cloud rental prices for both the B300 and P100 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 B300 have compared to the P100?▾

The B300 has 262 to 288 GB of HBM3e memory. The P100 has 16 GB of HBM2 memory.

Can I find B300 and P100 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 B300 and the P100?▾

The B300 uses the Blackwell Ultra architecture (2025) while the P100 uses Pascal (2016). The B300 delivers 120.3x the dense FP16 throughput (2,250 vs 18.7 TFLOPS, both without sparsity) and 10.9x the memory bandwidth of the P100.

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How this page is made

  • Specifications come from the NVIDIA, AMD and Intel datasheets for the B300 and the P100. 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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