GPU comparison

B300 vs RTX A5000

Specifications and current cloud pricing, side by side.

Blackwell UltravsAmpereUpdated 34 days ago

The B300 GPU wins for the most common large model training use case. Its 2250 TFLOPS dense FP16 rating combined with 8000 GB/s bandwidth and 262 to 288 GB HBM3e capacity exceeds the corresponding RTX A5000 figures of 222.2 TFLOPS FP16 with sparsity, 768 GB/s bandwidth and 24 GB GDDR6.

B300 from $0.50/GPU/hrRTX A5000 from $0.23/GPU/hr

Right now, from live stock

  • Cheapest right now: RTX A5000 at $0.23/hr on Vast.ai

    Deploy
  • Most providers in stock: RTX A5000 (2)

    See all offers

Specifications Compared

SpecB300RTX A5000
TDP1400W230W
VRAM262-288 GB24 GB
CUDA CoresNot published8,192
FP4 (dense)13,500 TFLOPSNot published
FP8 (dense)4,500 TFLOPSNot published
Memory TypeHBM3eGDDR6
ArchitectureBlackwell UltraAmpere
FP16 (dense)2,250 TFLOPSNot published
Form FactorsSXM6PCIe
INT8 (dense)187.5 TOPSNot published
InterconnectNVLink, PCIe 6.0, InfiniBandNVLink, PCIe 4.0
Tensor CoresNot published256
FP32 Performance75 TFLOPS27.8 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 TFLOPS222.2 TFLOPS
INT8 (with sparsity)375 TOPSNot published

Performance Analysis

The FP16 dense figure of 2250 TFLOPS on the B300 exceeds the FP16 with sparsity figure of 222.2 TFLOPS on the RTX A5000 by a factor derived solely from those listed values. FP32 performance stands at 75 TFLOPS dense on the B300 against 27.8 TFLOPS on the RTX A5000. Memory bandwidth of 8000 GB/s on the B300 versus 768 GB/s on the RTX A5000 permits larger batch sizes during training or inference workloads that move substantial tensor data. The B300 FP16 dense rating of 2250 TFLOPS supports higher throughput in dense matrix operations than the RTX A5000 FP16 with sparsity rating of 222.2 TFLOPS supports in sparse matrix operations.

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

RTX A5000

ProviderRegionGPUsPer GPU / hrInstance / hrDeploy
Vast.aiRomania, RO1$0.23—Deploy
Paperspaceny24$1.38$5.52Deploy

2 providers in stock, 9 offers (cheapest per provider shown). All RTX A5000 offers, price history and alerts

Which GPU to watchWatch the price of

Notify me when B300 drops below a price

One email when the cheapest in-stock on-demand price per GPU-hour falls below your threshold. Cheapest right now: $0.50/GPU-hr.

QuantaCloud

Comparing B-series options? Get one quote for all of them.

Skip the per-provider sales calls. Reserved and cluster B-series configurations from 16 to 1024+ GPUs with InfiniBand fabric, 3 to 12 month terms. One quote at partner rates, 24h turnaround.

No waitlist24hr quote turnaroundInfiniBand fabric

Compare real-time pricing across 25+ providers

When to Choose the B300

The B300 GPU suits workloads that require 262 to 288 GB HBM3e capacity and 8000 GB/s bandwidth together with 2250 TFLOPS dense FP16. Large scale training sessions that move data at those bandwidth levels benefit from the 1400W TDP allowance and SXM6 form factor.

When to Choose the RTX A5000

The RTX A5000 GPU suits workloads that operate within 24 GB GDDR6 capacity and 768 GB/s bandwidth together with 27.8 TFLOPS FP32. PCIe based deployments that remain under the 230W TDP limit align with the listed Ampere specifications.

Use Cases

LLM Training
B300

The B300 supplies 2250 TFLOPS dense FP16 and 8000 GB/s bandwidth that accommodate large model training at scale.

LLM Inference
B300

The B300 supplies 4500 TFLOPS FP16 with sparsity and 8000 GB/s bandwidth that support high volume inference batches.

Fine-tuning
B300

The B300 supplies 262 to 288 GB HBM3e and 2250 TFLOPS dense FP16 that handle parameter updates on sizable datasets.

Stable Diffusion
RTX A5000

The RTX A5000 supplies 24 GB GDDR6 and 27.8 TFLOPS FP32 that fit within typical image generation memory footprints.

Scientific Computing
B300

The B300 supplies 75 TFLOPS FP32 and 8000 GB/s bandwidth that accelerate dense numerical simulations.

Frequently Asked Questions

What is the memory difference between B300 and RTX A5000?▾

The B300 contains 262 to 288 GB HBM3e while the RTX A5000 contains 24 GB GDDR6. Bandwidth reaches 8000 GB/s on the B300 versus 768 GB/s on the RTX A5000.

How does FP16 performance compare on these GPUs?▾

The B300 lists 2250 TFLOPS dense FP16 and 4500 TFLOPS FP16 with sparsity. The RTX A5000 lists 222.2 TFLOPS FP16 with sparsity.

What TDP ratings apply to the B300 and RTX A5000?▾

The B300 carries a 1400W TDP rating. The RTX A5000 carries a 230W TDP rating.

Which interconnect options exist on each card?▾

The B300 supports NVLink, PCIe 6.0 and InfiniBand. The RTX A5000 supports NVLink and PCIe 4.0.

What FP32 performance do the GPUs deliver?▾

The B300 delivers 75 TFLOPS FP32. The RTX A5000 delivers 27.8 TFLOPS FP32.

Which is cheaper to rent, the B300 or the RTX A5000?▾

Cloud rental prices for both the B300 and RTX A5000 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 A5000?▾

The B300 has 262 to 288 GB of HBM3e memory. The RTX A5000 has 24 GB of GDDR6 memory.

Can I find B300 and RTX A5000 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 A5000?▾

The B300 uses the Blackwell Ultra architecture (2025) while the RTX A5000 uses Ampere (2021). The B300 has 262-288 GB of HBM3e at 8,000 GB/s; the RTX A5000 has 24 GB of GDDR6 at 768 GB/s, so the B300 has 10.4x the memory bandwidth of the RTX A5000.

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 A5000. 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