H100 SXM specs

NVIDIA · Shipping now · first available Oct 2022. Dense compute, memory, bandwidth and power from the vendor's documents; each precision stays separate.

All accelerators · Compare with GH200 (96 GB)

Specifications

H100 SXM specifications
Dense BF16 · FP32 accumulate989 TFLOPS
Dense FP8 · FP32 accumulate1,979 TFLOPS
Dense FP4 · FP32 accumulateNot published
Memory80 GB · HBM
Memory bandwidth3.35 TB/s
Maximum chip power700 W
InterconnectNVLink 4 · 900 GB/s
Process nodeTSMC 4N
First availabilityOct 2022
AvailabilityShipping
Est. purchase price~$27,500est — estimated / secondary-source figureMidpoint of an analyst range

Defined the 2023–25 training buildout; the market’s reference chip.

Dense tensor rates with FP32 accumulation, never sparse or FP16-accumulate headline figures. Memory is in decimal GB. The est marker flags a value its vendor-document review did not confirm.

Rent it

$3.20/GPU-hrCheapest on-demand · Hyperstack · observed

10 providers: AWS, Azure, Google Cloud, Hyperstack, Jarvislabs, Lambda, Nebius, Oracle OCI, Together AI, Verda. Quotes checked through .

H100 rental prices from every provider →

Value ratios

H100 SXM derived ratios
$ per dense BF16 PFLOP-hour$3.24
Dense BF16 TFLOPS per watt1.41
Bandwidth bytes per 1,000 BF16 FLOP3.39
$ per dense FP8 PFLOP-hour$1.62
Dense FP8 TFLOPS per watt2.83
Bandwidth bytes per 1,000 FP8 FLOP1.69
$ per GB of memory per hour$0.040

Prices divide the cheapest on-demand list price; theoretical ratios do not measure application speed.

Sources

Specifications reviewed . SXM column; sparse tensor figures divided by two, with existing whole-TFLOPS rounding retained.

First availability: NVIDIA Q3 FY2023 results ↗ (2022-11-16): “Began shipping the NVIDIA H100 Tensor Core GPU … with first systems available now.”

Purchase price: CNBC, citing Raymond James ↗ (2024-01-18): “Raymond James estimate Nvidia is selling the H100 for $25,000 to $30,000”

Rental price: Hyperstack published pricing ↗ (NVIDIA H100 SXM 80GB; maximum per GPU: 24 pCPUs and 240 GB RAM; actual allocation not specified; published per GPU-hour).

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