GPU comparison

B300 vs RTX A6000

Specifications and current cloud pricing, side by side.

Blackwell UltravsAmpereUpdated 32 days ago

The B300 wins for the most common use case of large model training because its 2250 TFLOPS dense FP16 and 262 to 288 GB VRAM far exceed the RTX A6000 capabilities in scale.

B300 from $0.50/GPU/hrRTX A6000 from $0.44/GPU/hr

Right now, from live stock

  • Cheapest right now: RTX A6000 at $0.44/hr on LeaderGPU

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  • Most providers in stock: RTX A6000 (5)

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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

SpecB300RTX A6000
TDP1400W300W
VRAM262-288 GB48 GB
CUDA CoresNot published10,752
FP4 (dense)13,500 TFLOPSNot published
FP8 (dense)4,500 TFLOPSNot published
Memory TypeHBM3eGDDR6
ArchitectureBlackwell UltraAmpere
FP16 (dense)2,250 TFLOPS154.8 TFLOPS
Form FactorsSXM6PCIe
INT8 (dense)187.5 TOPS309.7 TOPS
InterconnectNVLink, PCIe 6.0, InfiniBandNVLink, PCIe 4.0
Tensor CoresNot published336
FP32 Performance75 TFLOPS38.7 TFLOPS
FP64 Performance1.25 TFLOPSNot published
Memory Bandwidth8,000 GB/s768 GB/s
FP4 (with sparsity)18,000 TFLOPSNot published
FP8 (with sparsity)9,000 TFLOPSNot published
FP16 (with sparsity)4,500 TFLOPS309.6 TFLOPS
INT8 (with sparsity)375 TOPS619.4 TOPS

Performance Analysis

The dense FP16 performance of 2250 TFLOPS on the B300 compared to 154.8 TFLOPS on the RTX A6000 indicates substantially faster matrix operations for training and inference tasks. This delta allows the B300 to process larger models or achieve higher throughput in the same time frame. Memory bandwidth of 8000 GB/s versus 768 GB/s supports significantly larger batch sizes during training without memory bottlenecks. When comparing with sparsity the B300 reaches 4500 TFLOPS in FP16 while the RTX A6000 reaches 309.6 TFLOPS. The INT8 dense performance shows 187.5 TOPS for the B300 against 309.7 TOPS for the RTX A6000 which favors the latter in certain quantized inference scenarios.

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

RTX A6000

ProviderRegionGPUsPer GPU / hrInstance / hrDeploy
LeaderGPUThe Netherlands8$0.44$3.54Deploy
QuantaCloudus-midwest-14$0.48$1.92Deploy
Massed Computeus-central-22$0.55$1.10Deploy
RunPodglobal1$0.59—Deploy
Paperspaceams14$1.89$7.56Deploy

5 providers in stock, 49 offers (cheapest per provider shown). All RTX A6000 offers, price history and alerts

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When to Choose the B300

The B300 suits scenarios requiring extensive memory such as training models that exceed 48 GB VRAM capacity. Its 2250 TFLOPS dense FP16 and 8000 GB/s bandwidth enable efficient handling of large scale computations where the 1400W power budget is acceptable.

When to Choose the RTX A6000

The RTX A6000 fits environments with power constraints at 300W TDP and PCIe form factor needs. Its 48 GB VRAM and 38.7 TFLOPS FP32 support moderate workloads in standard server setups.

Use Cases

LLM Training
B300

The B300 provides 2250 TFLOPS dense FP16 and up to 288 GB VRAM compared to 154.8 TFLOPS and 48 GB on the RTX A6000.

LLM Inference
B300

The B300 delivers 4500 TFLOPS FP16 with sparsity and 8000 GB/s bandwidth for higher throughput than the 309.6 TFLOPS and 768 GB/s on the RTX A6000.

Fine-tuning
B300

The B300 supports larger batch sizes with 8000 GB/s bandwidth and 2250 TFLOPS dense FP16 versus 154.8 TFLOPS and 768 GB/s on the RTX A6000.

Stable Diffusion
RTX A6000

The RTX A6000 offers sufficient 48 GB VRAM and 309.7 TOPS INT8 dense at 300W TDP for moderate image generation workloads.

Scientific Computing
Either

The B300 provides 75 TFLOPS FP32 while the RTX A6000 provides 38.7 TFLOPS FP32 so selection depends on required scale and power limits.

Frequently Asked Questions

How does FP16 performance compare between these GPUs?▾

The B300 achieves 2250 TFLOPS dense FP16 and 4500 TFLOPS with sparsity while the RTX A6000 achieves 154.8 TFLOPS dense FP16 and 309.6 TFLOPS with sparsity.

What are the TDP ratings for the B300 and RTX A6000?▾

The B300 has a TDP of 1400W and the RTX A6000 has a TDP of 300W.

Which GPU has higher memory bandwidth?▾

The B300 has 8000 GB/s memory bandwidth while the RTX A6000 has 768 GB/s memory bandwidth.

How does FP32 performance differ?▾

The B300 delivers 75 TFLOPS FP32 and the RTX A6000 delivers 38.7 TFLOPS FP32.

Which is cheaper to rent, the B300 or the RTX A6000?▾

Cloud rental prices for both the B300 and RTX A6000 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 A6000?▾

The B300 has 262 to 288 GB of HBM3e memory. The RTX A6000 has 48 GB of GDDR6 memory.

Can I find B300 and RTX A6000 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 A6000?▾

The B300 uses the Blackwell Ultra architecture (2025) while the RTX A6000 uses Ampere (2020). The B300 delivers 14.5x the dense FP16 throughput (2,250 vs 154.8 TFLOPS, both without sparsity) and 10.4x the memory bandwidth of the RTX A6000.

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 RTX A6000. 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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