GPU comparison

B300 vs RTX 5060

Specifications and current cloud pricing, side by side.

Blackwell UltravsBlackwellUpdated 32 days ago

The B300 wins for the most common use case of large model training because its 262 to 288 GB memory capacity and 2250 TFLOPS dense FP16 performance exceed the published capabilities of the RTX 5060 by wide margins.

B300 from $0.50/GPU/hrRTX 5060 from $0.18/GPU/hr

Right now, from live stock

  • Cheapest right now: RTX 5060 at $0.18/hr on Vast.ai

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  • Most providers in stock: B300 (3)

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Specifications Compared

SpecB300RTX 5060
TDP1400W145W
VRAM262-288 GB8-16 GB
CUDA CoresNot published3,840
FP4 (dense)13,500 TFLOPSNot published
FP8 (dense)4,500 TFLOPSNot published
Memory TypeHBM3eGDDR7
ArchitectureBlackwell UltraBlackwell
FP16 (dense)2,250 TFLOPSNot published
Form FactorsSXM6PCIe
INT8 (dense)187.5 TOPSNot published
InterconnectNVLink, PCIe 6.0, InfiniBandPCIe 5.0
Tensor CoresNot published120
FP32 Performance75 TFLOPS19.2 TFLOPS
FP64 Performance1.25 TFLOPSNot published
Memory Bandwidth8,000 GB/s448 GB/s
FP4 (with sparsity)18,000 TFLOPS614 TFLOPS
FP8 (with sparsity)9,000 TFLOPSNot published
FP16 (with sparsity)4,500 TFLOPSNot published
INT8 (with sparsity)375 TOPSNot published

Performance Analysis

The B300 supplies 2250 TFLOPS of dense FP16 performance while the RTX 5060 does not publish an FP16 figure so direct comparison remains unavailable. The B300 also provides 13500 TFLOPS of dense FP4 performance against the RTX 5060 figure of 614 TFLOPS with sparsity. FP32 performance stands at 75 TFLOPS for the B300 and 19.2 TFLOPS for the RTX 5060. Memory bandwidth of 8000 GB per second on the B300 versus 448 GB per second on the RTX 5060 directly influences the maximum batch sizes possible during workloads that move large tensors. The 1400 watt TDP of the B300 compared with the 145 watt TDP of the RTX 5060 further shapes deployment choices where sustained dense or sparse tensor operations occur.

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$10.08—Deploy
LyceumEurope1$11.09—Deploy

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

RTX 5060

ProviderRegionGPUsPer GPU / hrInstance / hrDeploy
Vast.aiGermany, DE2$0.18$0.35Deploy

1 provider in stock, 3 offers (cheapest per provider shown). All RTX 5060 offers, price history and alerts

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When to Choose the B300

The B300 suits scenarios that require 262 to 288 GB of HBM3e memory and 8000 GB per second bandwidth for large scale tensor operations. Its 2250 TFLOPS of dense FP16 performance and 13500 TFLOPS of dense FP4 performance support extended training or inference sessions that exceed the limits of smaller memory pools.

When to Choose the RTX 5060

The RTX 5060 fits environments constrained to 145 watts TDP and PCIe form factor installations. Its 19.2 TFLOPS of FP32 performance and 614 TFLOPS of FP4 performance with sparsity address lighter workloads where 8 to 16 GB of GDDR7 memory suffices.

Use Cases

LLM Training
B300

The B300 supplies 262 to 288 GB HBM3e memory and 2250 TFLOPS dense FP16 performance that accommodate large model training runs.

LLM Inference
B300

The B300 provides 13500 TFLOPS dense FP4 performance and 8000 GB per second bandwidth for high throughput inference on sizable models.

Fine-tuning
B300

The B300 offers 4500 TFLOPS dense FP8 performance together with extensive memory capacity for fine tuning large parameter sets.

Stable Diffusion
RTX 5060

The RTX 5060 delivers 19.2 TFLOPS FP32 performance at 145 watts TDP for image generation tasks within modest memory limits.

Scientific Computing
B300

The B300 supplies 75 TFLOPS FP32 performance and 8000 GB per second bandwidth for compute intensive scientific simulations.

Frequently Asked Questions

How does FP32 performance differ between the B300 and RTX 5060?▾

The B300 delivers 75 TFLOPS of FP32 performance and the RTX 5060 delivers 19.2 TFLOPS of FP32 performance.

What interconnect options exist on each GPU?▾

The B300 supports NVLink PCIe 6.0 and InfiniBand while the RTX 5060 supports PCIe 5.0.

Which GPU handles higher FP4 workloads?▾

The B300 handles 13500 TFLOPS of dense FP4 performance whereas the RTX 5060 handles 614 TFLOPS of FP4 performance with sparsity.

What TDP values apply to the B300 and RTX 5060?▾

The B300 operates at 1400 watts TDP and the RTX 5060 operates at 145 watts TDP.

Which architecture do both GPUs share?▾

Both the B300 and RTX 5060 belong to the Blackwell architecture family released in 2025.

Which is cheaper to rent, the B300 or the RTX 5060?▾

Cloud rental prices for both the B300 and RTX 5060 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 RTX 5060?▾

The B300 has 262 to 288 GB of HBM3e memory. The RTX 5060 has 8 to 16 GB of GDDR7 memory.

Can I find B300 and RTX 5060 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 RTX 5060?▾

The B300 uses the Blackwell Ultra architecture (2025) while the RTX 5060 uses Blackwell (2025). The B300 has 262-288 GB of HBM3e at 8,000 GB/s; the RTX 5060 has 8-16 GB of GDDR7 at 448 GB/s, so the B300 has 17.9x the memory bandwidth of the RTX 5060.

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Related comparisons

How this page is made

  • Specifications come from the NVIDIA, AMD and Intel datasheets for the B300 and the RTX 5060. 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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