GPU comparison

B300 vs Quadro RTX 5000

Specifications and current cloud pricing, side by side.

Blackwell UltravsTuringUpdated 33 days ago

The B300 wins for the most common use case of LLM training because its 2250 TFLOPS FP16 dense rating and 262 to 288 GB VRAM exceed the Quadro RTX 5000 specifications by orders of magnitude.

B300 from $0.50/GPU/hrQuadro RTX 5000 from $0.82/GPU/hr

Right now, from live stock

  • Cheapest right now: B300 at $0.50/hr on RunPod

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  • Most providers in stock: B300 (3)

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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

SpecB300Quadro RTX 5000
TDP1400W230W
VRAM262-288 GB16 GB
CUDA CoresNot published3,072
FP4 (dense)13,500 TFLOPSNot published
FP8 (dense)4,500 TFLOPSNot published
Memory TypeHBM3eGDDR6
ArchitectureBlackwell UltraTuring
FP16 (dense)2,250 TFLOPS89.2 TFLOPS
Form FactorsSXM6PCIe
INT8 (dense)187.5 TOPS178.4 TOPS
InterconnectNVLink, PCIe 6.0, InfiniBandNVLink, PCIe 3.0
Tensor CoresNot published384
FP32 Performance75 TFLOPS11.2 TFLOPS
FP64 Performance1.25 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)375 TOPSNot published

Performance Analysis

The FP16 dense rating of 2250 TFLOPS on the B300 exceeds the 89.2 TFLOPS dense FP16 on the Quadro RTX 5000 by a wide margin. This delta in FP16 dense performance indicates that the B300 supports larger scale training and inference workloads than the Quadro RTX 5000. Memory bandwidth of 8000 GB/s on the B300 compared to 448 GB/s on the Quadro RTX 5000 allows for substantially larger batch sizes in memory intensive operations. FP32 performance reaches 75 TFLOPS on the B300 versus 11.2 TFLOPS on the Quadro RTX 5000. The B300 also lists FP16 with sparsity at 4500 TFLOPS while the Quadro RTX 5000 does not specify sparse figures. INT8 dense performance measures 187.5 TOPS on the B300 against 178.4 TOPS on the Quadro RTX 5000.

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
VERDAFIN-HEL1$10.18—Deploy
LyceumEurope1$11.09—Deploy

3 providers in stock, 4 offers (cheapest per provider shown). All B300 offers, price history and alerts

Quadro RTX 5000

ProviderRegionGPUsPer GPU / hrInstance / hrDeploy
Paperspaceny22$0.82$1.64Deploy

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 B300

The B300 suits scenarios that demand 262 to 288 GB VRAM and 8000 GB/s bandwidth such as large model training. Its FP16 dense performance of 2250 TFLOPS and FP32 rating of 75 TFLOPS further support high throughput workloads that exceed the capabilities of older cards.

When to Choose the Quadro RTX 5000

The Quadro RTX 5000 fits environments constrained to 230W TDP and PCIe form factor. Its FP16 dense performance of 89.2 TFLOPS and FP32 rating of 11.2 TFLOPS remain adequate for lighter professional graphics tasks.

Use Cases

LLM Training
B300

The B300 supplies 2250 TFLOPS FP16 dense and 262 to 288 GB VRAM that enable training at scales beyond the Quadro RTX 5000 limits.

LLM Inference
B300

FP16 dense performance of 2250 TFLOPS on the B300 combined with 8000 GB/s bandwidth supports larger inference batches than the 89.2 TFLOPS on the Quadro RTX 5000.

Fine-tuning
B300

The B300 FP32 rating of 75 TFLOPS and 262 to 288 GB memory allow fine-tuning of models that exceed the 11.2 TFLOPS and 16 GB capacity of the Quadro RTX 5000.

Stable Diffusion
B300

Memory bandwidth of 8000 GB/s and VRAM of 262 to 288 GB on the B300 handle high resolution diffusion workloads more effectively than the 448 GB/s and 16 GB on the Quadro RTX 5000.

Scientific Computing
B300

FP32 performance of 75 TFLOPS on the B300 surpasses the 11.2 TFLOPS on the Quadro RTX 5000 for compute heavy scientific simulations.

Frequently Asked Questions

What is the FP16 dense performance difference between B300 and Quadro RTX 5000?▾

The B300 delivers 2250 TFLOPS FP16 dense while the Quadro RTX 5000 delivers 89.2 TFLOPS FP16 dense. This gap affects training throughput directly.

What are the TDP values for B300 and Quadro RTX 5000?▾

The B300 lists a TDP of 1400W and the Quadro RTX 5000 lists a TDP of 230W. Power delivery requirements follow these figures.

Which GPU offers higher memory bandwidth?▾

The B300 provides 8000 GB/s bandwidth compared to 448 GB/s on the Quadro RTX 5000. Bandwidth influences data movement rates in large workloads.

What FP32 performance do the GPUs report?▾

The B300 reports 75 TFLOPS FP32 and the Quadro RTX 5000 reports 11.2 TFLOPS FP32. These values apply to general compute tasks.

Do both GPUs support NVLink?▾

Both the B300 and the Quadro RTX 5000 list NVLink support. The B300 adds PCIe 6.0 while the Quadro RTX 5000 uses PCIe 3.0.

Which is cheaper to rent, the B300 or the Quadro RTX 5000?▾

Cloud rental prices for both the B300 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 B300 have compared to the Quadro RTX 5000?▾

The B300 has 262 to 288 GB of HBM3e memory. The Quadro RTX 5000 has 16 GB of GDDR6 memory.

Can I find B300 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 B300 and the Quadro RTX 5000?▾

The B300 uses the Blackwell Ultra architecture (2025) while the Quadro RTX 5000 uses Turing (2018). The B300 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.

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How this page is made

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