GPU comparison

B200 vs RTX 4000 Ada

Specifications and current cloud pricing, side by side.

BlackwellvsAda LovelaceUpdated 33 days ago

The B200 wins for the most common use case of LLM training because its 2250 TFLOPS FP16 dense rating and 180 to 192 GB VRAM exceed the RTX 4000 Ada specifications by wide margins in every published tensor metric.

B200 listed from $8.79/GPU/hrRTX 4000 Ada listed from $0.28/GPU/hr

Right now, from live stock

Specifications Compared

SpecB200RTX 4000 Ada
TDP1000W130W
VRAM180-192 GB20 GB
CUDA Cores18,4326,144
FP4 (dense)9,000 TFLOPSNot published
FP8 (dense)4,500 TFLOPSNot published
Memory TypeHBM3eGDDR6
ArchitectureBlackwellAda Lovelace
FP16 (dense)2,250 TFLOPSNot published
Form FactorsSXM, NVLPCIe
INT8 (dense)4,500 TOPSNot published
InterconnectNVLink, PCIe 6.0, InfiniBandPCIe 4.0
Tensor Cores576192
FP32 Performance75 TFLOPS26.7 TFLOPS
FP64 Performance37 TFLOPSNot published
Memory Bandwidth8,000 GB/s360 GB/s
FP4 (with sparsity)18,000 TFLOPSNot published
FP8 (with sparsity)9,000 TFLOPS427.6 TFLOPS
FP16 (with sparsity)4,500 TFLOPSNot published
INT8 (with sparsity)9,000 TOPSNot published

Performance Analysis

The B200 delivers 2250 TFLOPS FP16 dense performance while the RTX 4000 Ada provides no published FP16 figure. In FP32 the B200 reaches 75 TFLOPS against 26.7 TFLOPS on the RTX 4000 Ada. The 8000 GB per second memory bandwidth on the B200 supports substantially larger batch sizes than the 360 GB per second bandwidth on the RTX 4000 Ada during both training and inference passes. When sparsity is applied the B200 reaches 4500 TFLOPS FP16 with sparsity compared with the RTX 4000 Ada FP8 with sparsity figure of 427.6 TFLOPS. These dense to dense and sparsity to sparsity ratios indicate the B200 sustains higher throughput on identical precision modes for large 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.

B200

ProviderRegionGPUsPer GPU / hrInstance / hrDeploy
LyceumEurope1$8.79—Deploy
Vast.ai, US4$9.00$36.00Deploy

2 providers in stock, 2 offers. All B200 offers, price history and alerts

RTX 4000 Ada

RTX 4000 Ada is not offered on-demand by any provider we track right now. See the RTX 4000 Ada rental page for last-seen listed prices and a price alert.

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When to Choose the B200

The B200 suits workloads that require 180 to 192 GB HBM3e VRAM and 2250 TFLOPS FP16 dense throughput. Large scale training jobs that exceed 20 GB VRAM capacity benefit directly from the higher memory and 8000 GB per second bandwidth.

When to Choose the RTX 4000 Ada

The RTX 4000 Ada fits environments constrained to 130 W TDP and PCIe form factor. Smaller inference tasks that remain within 20 GB GDDR6 VRAM avoid the need for 1000 W power delivery systems.

Use Cases

LLM Training
B200

The B200 supplies 2250 TFLOPS FP16 dense and 180 to 192 GB HBM3e VRAM that exceed the RTX 4000 Ada limits for large models.

LLM Inference
B200

The B200 provides 4500 TFLOPS FP8 dense together with 8000 GB per second bandwidth that sustain higher token rates than the RTX 4000 Ada.

Fine-tuning
B200

The B200 75 TFLOPS FP32 rating and 180 to 192 GB memory allow larger fine tuning batches than the 26.7 TFLOPS and 20 GB on the RTX 4000 Ada.

Stable Diffusion
RTX 4000 Ada

The RTX 4000 Ada 130 W TDP and 20 GB GDDR6 VRAM suffice for typical image generation workloads without the 1000 W requirement of the B200.

Scientific Computing
B200

The B200 75 TFLOPS FP32 and 8000 GB per second bandwidth accelerate double precision scientific kernels beyond the RTX 4000 Ada 26.7 TFLOPS FP32.

Frequently Asked Questions

What is the memory bandwidth difference between these two GPUs?▾

The B200 reaches 8000 GB per second memory bandwidth while the RTX 4000 Ada reaches 360 GB per second memory bandwidth.

Which GPU offers higher FP32 performance?▾

The B200 delivers 75 TFLOPS FP32 while the RTX 4000 Ada delivers 26.7 TFLOPS FP32.

Does the B200 support NVLink interconnect?▾

The B200 lists NVLink among its interconnect options while the RTX 4000 Ada lists only PCIe 4.0.

What power limit applies to each card?▾

The B200 carries a 1000 W TDP while the RTX 4000 Ada carries a 130 W TDP.

Which is cheaper to rent, the B200 or the RTX 4000 Ada?▾

Cloud rental prices for both the B200 and RTX 4000 Ada 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 B200 have compared to the RTX 4000 Ada?▾

The B200 has 180 to 192 GB of HBM3e memory. The RTX 4000 Ada has 20 GB of GDDR6 memory.

Can I find B200 and RTX 4000 Ada 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 B200 and the RTX 4000 Ada?▾

The B200 uses the Blackwell architecture (2024) while the RTX 4000 Ada uses Ada Lovelace (2023). The B200 has 180-192 GB of HBM3e at 8,000 GB/s; the RTX 4000 Ada has 20 GB of GDDR6 at 360 GB/s, so the B200 has 22.2x the memory bandwidth of the RTX 4000 Ada.

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How this page is made

  • Specifications come from the NVIDIA, AMD and Intel datasheets for the B200 and the RTX 4000 Ada. 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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