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NVIDIA H100 SXM5 vs AMD Instinct MI300X

Side-by-side comparison of NVIDIA H100 SXM5 (80 GB VRAM, 3.35 TB/s) and AMD Instinct MI300X (192 GB VRAM, 5.3 TB/s). Compare specs, compute throughput, and workload sizing for LLM inference.

Decision Summary

SpecNVIDIA H100 SXM5AMD Instinct MI300X
VRAM80GB HBM3192GB HBM3
Memory Bandwidth3.35 TB/s5.3 TB/s
FP8 TFLOPS1,979—
FP16 TFLOPS989—
InterconnectNVLink 4.0 (900 GB/s)InfiniBand-class 896 GB/s
TDP700W750W
Recommended QuantizationFP8 / FP4 nativeFP8 / FP16 native — 192 GB fits 70B FP16 + full KV-cache on one GPU

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 H100 SXM5 and AMD Instinct MI300X.

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

ProviderGPU & VRAMInterconnectSpot Price ($/hr)On-Demand ($/hr)Monthly ($/720h)StatusAction
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 / moInstant
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 / moInstant
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 / moInstant
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 / 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 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
AMD Instinct MI300X
ArchitectureCDNA 3
Process Node5nm TSMC
FP8 TFLOPS—
FP16 TFLOPS—
Compute BoundMemory-bandwidth bound — 5.3 TB/s HBM3 matches CDNA 3 throughput
Recommended Topology8-way InfiniBand-class interconnect (896 GB/s per GPU)
Recommended Quantization: FP8 / FP16 native — 192 GB fits 70B FP16 + full KV-cache on one GPU

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NVIDIA A100 80GB SXM4 vs NVIDIA H100 SXM5→
80GB HBM2e vs 80GB HBM3
Deploy NVIDIA H100 SXM5Deploy AMD Instinct MI300X
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 →