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NVIDIA B200 Blackwell vs NVIDIA B300 Blackwell Ultra

Side-by-side comparison of NVIDIA B200 Blackwell (192 GB VRAM, 8.0 TB/s) and NVIDIA B300 Blackwell Ultra (288 GB VRAM, 9.0 TB/s). Compare specs, compute throughput, and workload sizing for LLM inference.

Decision Summary

SpecNVIDIA B200 BlackwellNVIDIA B300 Blackwell Ultra
VRAM192GB HBM3e288GB HBM3e
Memory Bandwidth8.0 TB/s9.0 TB/s
FP8 TFLOPS2,2502,500
FP16 TFLOPS1,1251,250
InterconnectNVLink 5.0 (1.8 TB/s)NVLink 5.0 (1.8 TB/s)
TDP1000W1200W
Recommended QuantizationFP4 / FP8 native — FP4 cuts memory 50% with <5% quality lossFP4 / FP8 / BF16 — all precisions native, no quality tradeoff

Compare for a Workload

Configure a workload to see how each selected GPU performs. Calculations are deterministic estimates based on architectural specifications.

Configure workload parameters above and click "Calculate VRAM Requirement" to see results.

Cloud Provider Pricing

Current spot and on-demand rates across providers for NVIDIA B200 Blackwell and NVIDIA B300 Blackwell Ultra.

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Verified spot rates & reserved pricing

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16GB GDDR6 • 0.32 TB/s • PCIe 3.0

ProviderGPU & VRAMInterconnectSpot Price ($/hr)On-Demand ($/hr)Monthly ($/720h)StatusAction
Vast.ai
Community
B200192GB HBM3e
Llama 70B ✅DeepSeek R1 ✅Production vLLM Cluster ✅70B Models ✅
NVLink 5.0 (1.8 TB/s)$3.99/hr
Calculated EstimateMEDIUM
SourceVast.ai
VerifiedSep 26, 2026
Value
3.99 /hr
Methodology

No distinct spot listing — the provider's listed hourly (on-demand) rate is surfaced as the tracked rate.

Assumptions & Parameters
  • note: Spot rates fluctuate with capacity
Refreshed daily from provider APIs and market scrapingSep 26, 2026
$3.99 / hr$2,442 / moInstant
Deploy →
Spheron
Bare Metal
B200192GB HBM3e
Llama 70B ✅DeepSeek R1 ✅Production vLLM Cluster ✅70B Models ✅
NVLink 5.0 (1.8 TB/s)$4.49/hr
Calculated EstimateMEDIUM
SourceSpheron
VerifiedSep 26, 2026
Value
4.49 /hr
Methodology

No distinct spot listing — the provider's listed hourly (on-demand) rate is surfaced as the tracked rate.

Assumptions & Parameters
  • note: Spot rates fluctuate with capacity
Refreshed daily from provider APIs and market scrapingSep 26, 2026
$4.49 / hr$2,748 / moInstant
Deploy →
Lambda Labs
Dedicated
B200192GB HBM3e
Llama 70B ✅DeepSeek R1 ✅Production vLLM Cluster ✅70B Models ✅
NVLink 5.0 (1.8 TB/s)$5.49/hr
Calculated EstimateMEDIUM
SourceLambda Labs
VerifiedSep 26, 2026
Value
5.49 /hr
Methodology

No distinct spot listing — the provider's listed hourly (on-demand) rate is surfaced as the tracked rate.

Assumptions & Parameters
  • note: Spot rates fluctuate with capacity
Refreshed daily from provider APIs and market scrapingSep 26, 2026
$5.49 / hr$3,360 / moInstant
Deploy →
RunPod
Cloud
B200192GB HBM3e
Llama 70B ✅DeepSeek R1 ✅Production vLLM Cluster ✅70B Models ✅
NVLink 5.0 (1.8 TB/s)$5.99/hr
Calculated EstimateMEDIUM
SourceRunPod
VerifiedSep 26, 2026
Value
5.99 /hr
Methodology

No distinct spot listing — the provider's listed hourly (on-demand) rate is surfaced as the tracked rate.

Assumptions & Parameters
  • note: Spot rates fluctuate with capacity
Refreshed daily from provider APIs and market scrapingSep 26, 2026
$5.99 / hr$3,666 / moInstant
Deploy →
On-demand and monthly figures are the providers' listed rates (monthly = listed rate, else hourly × 720h). Rows without a tracked rate show —. All rates subject to preemption and provider availability.
Data Freshness: Public Cloud APIs & Market Scraping | Refreshed Daily (UTC)Benchmark Baseline: Ubuntu 24.04, CUDA 12.4, vLLM v0.6.x, PagedAttention v2, FlashAttention-3

Prices verified daily from Spheron, RunPod, Vast.ai, and Lambda Labs APIs.

Microarchitecture & Interconnect

NVIDIA B200 Blackwell
ArchitectureBlackwell GB200
Process Node4NP TSMC
FP8 TFLOPS2,250
FP16 TFLOPS1,125
Compute BoundMemory-bandwidth bound at large batch; compute-bound at small batch with FP8/BF16
Recommended Topology8-way NVLink 5.0 Full Mesh (1.8 TB/s per GPU)
Recommended Quantization: FP4 / FP8 native — FP4 cuts memory 50% with <5% quality loss
NVIDIA B300 Blackwell Ultra
ArchitectureBlackwell Ultra GB300
Process Node4NP TSMC
FP8 TFLOPS2,500
FP16 TFLOPS1,250
Compute BoundCompute-bound at small batch with FP8/BF16; memory-bound for frontier parameter counts
Recommended Topology8-way NVLink 5.0 Full Mesh, multi-node via NVLink-C2C
Recommended Quantization: FP4 / FP8 / BF16 — all precisions native, no quality tradeoff

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NVIDIA A100 80GB SXM4 vs NVIDIA B200 Blackwell→
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NVIDIA B200 Blackwell vs NVIDIA L40S→
192GB HBM3e vs 48GB GDDR6
Deploy NVIDIA B200 BlackwellDeploy NVIDIA B300 Blackwell Ultra
Data Freshness: Verified via Public Cloud APIs & Market Scraping | Refreshed Daily (UTC)Benchmark Baseline: Ubuntu 24.04, CUDA 12.4, vLLM v0.6.x (PagedAttention v2, FlashAttention-3), BF16/FP8 weights.
Methodology →