H200 vs H100

Same Hopper silicon, 141 GB of memory instead of 80. The published compute figures are identical; what you are paying for is capacity, bandwidth, and fewer cards per model.

Illustrative render of a NVIDIA H200 SXM5 141GB: a generic body for its form factor, carrying the model name. Not a product photograph.
H200 SXM5 141GBHopper
$2.25/ GPU-hour
cheapest at Sesterce · 31 providers list it
Memory141 GB
Bandwidth4,800 GB/s
Board power700 W
Every H200 SXM5 141GB offer →
Illustrative render of a NVIDIA H100 SXM5 80GB: a generic body for its form factor, carrying the model name. Not a product photograph.
H100 SXM5 80GBHopper
$1.30/ GPU-hour
cheapest at Lium · 31 providers list it
Memory80 GB
Bandwidth3,350 GB/s
Board power700 W
Every H100 SXM5 80GB offer →
Short answer
What separates them
Memory is the difference
141 vs 80 GB
1.76× the capacity per card — the number that decides how many cards a model needs.
Bandwidth moves with it
1.4× more
4,800 GB/s against 3,350 GB/s, as the vendor publishes them.
Compute is a tie
989.5 TFLOPS both
Same dense BF16 figure on both — the die did not change, so arithmetic-bound work runs the same on either.
The gap depends on where you rent
0.93–2.31×
Across the 18 providers listing both, that is the range of what the H200 SXM5 141GB costs relative to the H100 SXM5 80GB.
Specs side by side
SpecH200 SXM5 141GBH100 SXM5 80GB
Memory
Capacity GB14180
Bandwidth GB/s4,8003,350
Compute
BF16 dense TFLOPS989.5dense989.5dense
FP8 dense TFLOPS1,979dense1,979dense
TF32 dense TFLOPS494.5dense494.5dense
FP32 TFLOPS6767
FP64 TFLOPS3434
INT8 dense TOPS1,979dense1,979dense
Platform
NVLink GB/s900900
Board power W700700
Max MIG instances77
Silicon
ArchitectureHopper 2024Hopper 2022

Violet marks the stronger figure. Throughput numbers are the vendors' own published dense peaks, read from H200 SXM5 141GB's product page and H100 SXM5 80GB's product page — not speeds we measured. Process node and transistor count are absent because they are not on the pages we read; architecture comes from our hand-compiled hardware registry, which has no fetch behind it.

Both cards, by providerPrices confirmed 1h ago
ProviderH200 SXM5 141GBH100 SXM5 80GBRatio
Liumcheapest$3.00$1.302.31×Deploy
Civo$3.49$2.991.17×Deploy
JarvisLabs$3.99$2.691.48×Deploy
Hyperstack$3.99$3.201.25×Deploy
GPU.ai$3.99$3.491.14×Deploy
Oblivus$3.99$4.310.93×Deploy
Canopy Wave$4.00$3.251.23×Deploy
Crusoe Cloud$4.29$3.901.10×Deploy
Verda$4.50$3.421.32×Deploy
Fal$4.50$4.501.00×Deploy
Modal$4.54$3.951.15×Deploy
Enverge$5.50$4.001.38×Deploy
Together AI$5.99$3.991.50×Deploy
CoreWeave$6.31$6.161.02×Deploy

On-demand, per GPU, USD, from providers publishing a comparable rate for both cards. 11 more list one of the two but not both. Spot and committed rates are excluded — they are not comparable to on-demand, and mixing them would turn a different product into what looks like a discount.

What actually decides it

Same die, more memory around it

  • Dense BF16 is identical at 989.5 TFLOPS, so arithmetic-bound work has nothing to gain. What the H200 SXM5 141GB adds is 141 GB against 80 GB, and 1.43× the bandwidth to feed it.
  • That pays where the H100 SXM5 80GB is memory-bound: a model that needed two of them fitting on one, longer contexts, more concurrent sequences per card. Where it is not, the two run the same job at different prices.

Where you rent moves more money than which card you pick

  • The same H100 SXM5 80GB is published between $1.30 and $12.84 — a 9.9× spread across 24 providers for identical hardware.
  • The gap between the two cards is 1.73×. Choosing the provider is worth more than choosing the card, and it is the part a spec sheet cannot tell you.
Other comparisons

More pairings need both cards' specs fetched first.

Working out what a whole run costs?
The calculator prices a job by hours and cards, from these same rates.
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