NVIDIA H100 SXM5 vs NVIDIA GeForce RTX 4090

Side-by-side comparison of NVIDIA H100 SXM5 (80 GB VRAM, 3.35 TB/s) and NVIDIA GeForce RTX 4090 (24 GB VRAM, 1.0 TB/s). Compare specs, compute throughput, and workload sizing for LLM inference.

Decision Summary

Spec	NVIDIA H100 SXM5	NVIDIA GeForce RTX 4090
VRAM	80GB HBM3	24GB GDDR6X
Memory Bandwidth	3.35 TB/s	1.0 TB/s
FP8 TFLOPS	1,979	165
FP16 TFLOPS	989	82.6
Interconnect	NVLink 4.0 (900 GB/s)	PCIe 4.0 (64 GB/s)
TDP	700W	450W
Recommended Quantization	FP8 / FP4 native	GGUF / AWQ / GPTQ — INT4 mandatory for 13B+

Compare for a Workload

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

Workload

Context Length

Precision

Batch Size

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 H100 SXM5 and NVIDIA GeForce RTX 4090.

Featured GPU Pricing Pages

NVIDIA H100 SXM5

80GB HBM3 • 3.35 TB/s • NVLink 4.0

NVIDIA A100 40GB

40GB HBM2 • 1.55 TB/s • NVLink 3.0

NVIDIA A100 80GB

Verified spot rates & reserved pricing

NVIDIA A10G

24GB GDDR6 • 0.62 TB/s • PCIe 4.0

NVIDIA RTX 3090

24GB GDDR6X • 0.94 TB/s • PCIe 4.0

NVIDIA T4

16GB GDDR6 • 0.32 TB/s • PCIe 3.0

Provider	GPU & VRAM	Interconnect	Spot Price ($/hr)	On-Demand ($/hr)	Monthly ($/720h)	Status	Action
Vast.ai Community	H100 SXM580GB HBM3 Llama 70B (FP8) ✅DeepSeek R1 (INT4 Multi-GPU) ✅Production vLLM Cluster ✅	NVLink 4.0 (900 GB/s)	$1.89/hr Calculated EstimateMEDIUM SourceVast.ai VerifiedSep 26, 2026 Value 1.89 /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	$1.89 / hr	$1,157 / mo	Instant	Deploy →
Spheron Bare Metal	H100 SXM580GB HBM3 Llama 70B (FP8) ✅DeepSeek R1 (INT4 Multi-GPU) ✅Production vLLM Cluster ✅	NVLink 4.0 (900 GB/s)	$2.29/hr Observed Spot RateMEDIUM SourceSpheron VerifiedSep 26, 2026 Value 2.29 /hr Methodology Explicit spot listing from the provider. On-demand is the provider's listed hourly rate. Assumptions & Parameters note: Spot rates fluctuate with capacity Refreshed daily from provider APIs and market scrapingSep 26, 2026	$2.29 / hr	$1,401 / mo	Instant	Deploy →
RunPod Cloud	H100 SXM580GB HBM3 Llama 70B (FP8) ✅DeepSeek R1 (INT4 Multi-GPU) ✅Production vLLM Cluster ✅	NVLink 4.0 (900 GB/s)	$2.49/hr Observed Spot RateMEDIUM SourceRunPod VerifiedSep 26, 2026 Value 2.49 /hr Methodology Explicit spot listing from the provider. On-demand is the provider's listed hourly rate. Assumptions & Parameters note: Spot rates fluctuate with capacity Refreshed daily from provider APIs and market scrapingSep 26, 2026	$3.49 / hr	$2,136 / mo	Instant	Deploy →
Lambda Labs Dedicated	H100 SXM580GB HBM3 Llama 70B (FP8) ✅DeepSeek R1 (INT4 Multi-GPU) ✅Production vLLM Cluster ✅	NVLink 4.0 (900 GB/s)	$2.99/hr Calculated EstimateMEDIUM SourceLambda Labs VerifiedSep 26, 2026 Value 2.99 /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	$2.99 / hr	$1,830 / mo	Instant	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 H100 SXM5

ArchitectureHopper GH100

Process Node4nm TSMC

FP8 TFLOPS1,979

FP16 TFLOPS989

Compute BoundMemory-bandwidth bound at large batch; compute-bound at small batch with FP8/BF16

Recommended Topology8-way HGX Baseboard with NVLink 4.0 Mesh

Recommended Quantization: FP8 / FP4 native

NVIDIA GeForce RTX 4090

ArchitectureAda Lovelace AD102

Process Node5nm TSMC

FP8 TFLOPS165

FP16 TFLOPS82.6

Compute BoundExtremely memory-bandwidth bound — GDDR6X 1 TB/s cannot sustain FP16 inference at batch≥4

Recommended TopologyPCIe Single Node — 2 GPU max for training

Recommended Quantization: GGUF / AWQ / GPTQ — INT4 mandatory for 13B+

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Deploy NVIDIA H100 SXM5 Deploy NVIDIA GeForce RTX 4090

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 →