Specifications Compared
| Spec | B300 | Quadro P5000 |
|---|---|---|
| TDP | 1400W | 180W |
| VRAM | 262-288 GB | 16 GB |
| CUDA Cores | Not published | 2,560 |
| FP4 (dense) | 13,500 TFLOPS | Not published |
| FP8 (dense) | 4,500 TFLOPS | Not published |
| Memory Type | HBM3e | GDDR5X |
| Architecture | Blackwell Ultra | Pascal |
| FP16 (dense) | 2,250 TFLOPS | Not published |
| Form Factors | SXM6 | PCIe |
| INT8 (dense) | 187.5 TOPS | Not published |
| Interconnect | NVLink, PCIe 6.0, InfiniBand | PCIe 3.0 |
| FP32 Performance | 75 TFLOPS | 8.9 TFLOPS |
| FP64 Performance | 1.25 TFLOPS | Not published |
| Memory Bandwidth | 8,000 GB/s | 288 GB/s |
| FP4 (with sparsity) | 18,000 TFLOPS | Not published |
| FP8 (with sparsity) | 9,000 TFLOPS | Not published |
| FP16 (with sparsity) | 4,500 TFLOPS | Not published |
| INT8 (with sparsity) | 375 TOPS | Not published |
Performance Analysis
The B300 delivers 2250 TFLOPS dense FP16 performance while the Quadro P5000 does not publish an FP16 figure. The B300 also provides 75 TFLOPS FP32 performance which exceeds the Quadro P5000 value of 8.9 TFLOPS FP32 by a factor of more than eight. This FP16 to FP32 ratio on the B300 supports accelerated training and inference steps when dense FP16 operations replace FP32 calculations. Memory bandwidth on the B300 reaches 8000 GB/s compared with 288 GB/s on the Quadro P5000 which permits substantially larger batch sizes during model execution. The B300 further lists 4500 TFLOPS FP16 with sparsity and 9000 TFLOPS FP8 with sparsity while the Quadro P5000 provides no corresponding figures.
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
1 provider in stock, 1 offer. All B300 offers, price history and alerts
Quadro P5000
| Provider | Region | GPUs | Per GPU / hr | Instance / hr | Deploy |
|---|---|---|---|---|---|
| Paperspace | ca1 | 2 | $0.78 | $1.56 | Deploy |
1 provider in stock, 6 offers (cheapest per provider shown). All Quadro P5000 offers, price history and alerts
Notify me when B300 drops below a price
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When to Choose the B300
The B300 suits workloads that require 262-288 GB HBM3e VRAM and 8000 GB/s memory bandwidth for large scale tensor computations. Its 2250 TFLOPS dense FP16 and 75 TFLOPS FP32 figures enable faster execution of modern AI pipelines compared with older hardware limits.
When to Choose the Quadro P5000
The Quadro P5000 fits environments constrained to 180W TDP and PCIe 3.0 interconnect where 8.9 TFLOPS FP32 performance meets basic graphics or compute needs without exceeding power budgets.
Use Cases
The B300 supplies 2250 TFLOPS dense FP16 and 262-288 GB VRAM which support large model training runs.
The B300 delivers 4500 TFLOPS FP16 with sparsity and 8000 GB/s bandwidth which accelerate inference throughput.
The B300 offers 75 TFLOPS FP32 and high memory capacity which handle parameter updates efficiently.
The B300 provides 9000 TFLOPS FP8 with sparsity which speed up diffusion model steps.
The Quadro P5000 meets basic FP32 needs at 8.9 TFLOPS while the B300 handles demanding FP32 workloads at 75 TFLOPS.
Frequently Asked Questions
What is the FP32 performance difference?▾
The B300 lists 75 TFLOPS FP32 while the Quadro P5000 lists 8.9 TFLOPS FP32.
Does the B300 support NVLink?▾
The B300 supports NVLink interconnect along with PCIe 6.0 and InfiniBand.
What memory bandwidth does the B300 provide?▾
The B300 provides 8000 GB/s memory bandwidth which exceeds the Quadro P5000 value of 288 GB/s.
Which is cheaper to rent, the B300 or the Quadro P5000?▾
Cloud rental prices for both the B300 and Quadro P5000 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 P5000?▾
The B300 has 262 to 288 GB of HBM3e memory. The Quadro P5000 has 16 GB of GDDR5X memory.
Can I find B300 and Quadro P5000 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 P5000?▾
The B300 uses the Blackwell Ultra architecture (2025) while the Quadro P5000 uses Pascal (2016). The B300 has 262-288 GB of HBM3e at 8,000 GB/s; the Quadro P5000 has 16 GB of GDDR5X at 288 GB/s, so the B300 has 27.8x the memory bandwidth of the Quadro P5000.
Rent these GPUs
Each GPU page lists every current on-demand offer by provider, per GPU-hour, updated every minute.
Related comparisons
How this page is made
- Specifications come from the NVIDIA, AMD and Intel datasheets for the B300 and the Quadro P5000. 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.
Next steps
- Rent B300Every current offer by provider, daily price history and a price alert.
- Rent QUADRO P5000Every current offer by provider, daily price history and a price alert.
- GPU price indexHow on-demand prices for the major GPUs have moved, updated daily.
- All GPUsEvery GPU we track, with current lows and provider counts.