GPU comparison

B300 vs RTX 4070

Specifications and current cloud pricing, side by side.

Blackwell UltravsAda LovelaceUpdated 34 days ago

The B300 wins for the most common large model training use case because its 2250 TFLOPS FP16 dense rating and 262 to 288 GB memory exceed the RTX 4070 58.3 TFLOPS FP16 dense rating and 12 to 16 GB memory by wide margins that enable previously impossible batch sizes.

B300 listed from $0.50/GPU/hrRTX 4070 listed from $0.50/GPU/hr

Right now, from live stock

Specifications Compared

SpecB300RTX 4070
TDP1400W200W
VRAM262-288 GB12-16 GB
CUDA CoresNot published5,888
FP4 (dense)13,500 TFLOPSNot published
FP8 (dense)4,500 TFLOPS116.6 TFLOPS
Memory TypeHBM3eGDDR6X
ArchitectureBlackwell UltraAda Lovelace
FP16 (dense)2,250 TFLOPS58.3 TFLOPS
Form FactorsSXM6PCIe
INT8 (dense)187.5 TOPS233.2 TOPS
InterconnectNVLink, PCIe 6.0, InfiniBandPCIe 4.0
Tensor CoresNot published184
FP32 Performance75 TFLOPS29.1 TFLOPS
FP64 Performance1.25 TFLOPSNot published
Memory Bandwidth8,000 GB/s504 GB/s
FP4 (with sparsity)18,000 TFLOPSNot published
FP8 (with sparsity)9,000 TFLOPS233.2 TFLOPS
FP16 (with sparsity)4,500 TFLOPS116.6 TFLOPS
INT8 (with sparsity)375 TOPS466.4 TOPS

Performance Analysis

The FP16 dense performance ratio shows the B300 at 2250 TFLOPS exceeding the RTX 4070 at 58.3 TFLOPS by a factor derived directly from those values which supports larger model training batches through higher throughput. Memory bandwidth at 8000 GB/s on the B300 versus 504 GB/s on the RTX 4070 allows the B300 to sustain bigger batch sizes during inference without memory stalls. FP32 figures of 75 TFLOPS on the B300 and 29.1 TFLOPS on the RTX 4070 indicate the B300 handles precision sensitive scientific tasks at higher rates while sparsity labeled FP16 figures of 4500 TFLOPS on the B300 and 116.6 TFLOPS on the RTX 4070 follow the same pattern when compared only to like sparsity values.

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 4070

RTX 4070 is not offered on-demand by any provider we track right now. See the RTX 4070 rental page for last-seen listed prices and a price alert.

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When to Choose the B300

The B300 suits large scale LLM training because its 262 to 288 GB HBM3e memory and 2250 TFLOPS FP16 dense rating accommodate models that exceed the 12 to 16 GB capacity of the RTX 4070. Workloads requiring 8000 GB/s bandwidth and 1400W TDP tolerance benefit from the B300 NVLink interconnect for multi GPU scaling.

When to Choose the RTX 4070

The RTX 4070 fits local development and inference on smaller models because its 200W TDP and PCIe form factor integrate into standard workstations without the 1400W power infrastructure needed by the B300. Tasks limited to 58.3 TFLOPS FP16 dense performance and 12 to 16 GB memory run efficiently on the RTX 4070 at lower overall system demands.

Use Cases

LLM Training
B300

The B300 supplies 2250 TFLOPS FP16 dense and 262 to 288 GB memory that exceed the RTX 4070 58.3 TFLOPS FP16 dense and 12 to 16 GB limits.

LLM Inference
B300

The B300 8000 GB/s bandwidth sustains larger batches than the RTX 4070 504 GB/s bandwidth during extended inference runs.

Fine-tuning
B300

The B300 4500 TFLOPS FP16 with sparsity rating supports fine tuning at scales beyond the RTX 4070 116.6 TFLOPS FP16 with sparsity rating.

Stable Diffusion
RTX 4070

The RTX 4070 200W TDP and 12 to 16 GB memory handle typical diffusion workloads without the 1400W requirement of the B300.

Scientific Computing
B300

The B300 75 TFLOPS FP32 rating delivers higher throughput than the RTX 4070 29.1 TFLOPS FP32 rating for precision calculations.

Frequently Asked Questions

How does B300 FP16 dense performance compare to RTX 4070 FP16 dense performance?▾

The B300 reaches 2250 TFLOPS FP16 dense while the RTX 4070 reaches 58.3 TFLOPS FP16 dense. This difference appears directly in the listed specifications.

What memory bandwidth does the B300 provide versus the RTX 4070?▾

The B300 lists 8000 GB/s memory bandwidth and the RTX 4070 lists 504 GB/s memory bandwidth. These values determine data movement rates during compute.

Which GPU has higher INT8 dense performance?▾

The RTX 4070 lists 233.2 TOPS INT8 dense while the B300 lists 187.5 TOPS INT8 dense. The specifications show this reversal from FP16 trends.

What TDP values appear for each GPU?▾

The B300 carries a 1400W TDP and the RTX 4070 carries a 200W TDP. Power delivery systems must match these listed figures.

Does the B300 support NVLink?▾

The B300 specifications include NVLink interconnect while the RTX 4070 specifications list only PCIe 4.0. Multi GPU fabrics therefore differ by design.

Which is cheaper to rent, the B300 or the RTX 4070?▾

Cloud rental prices for both the B300 and RTX 4070 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 4070?▾

The B300 has 262 to 288 GB of HBM3e memory. The RTX 4070 has 12 to 16 GB of GDDR6X memory.

Can I find B300 and RTX 4070 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 4070?▾

The B300 uses the Blackwell Ultra architecture (2025) while the RTX 4070 uses Ada Lovelace (2023). The B300 delivers 38.6x the dense FP16 throughput (2,250 vs 58.3 TFLOPS, both without sparsity) and 15.9x the memory bandwidth of the RTX 4070.

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 4070. 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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