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NVIDIA Gross Margins Reflect Value of Acceleration
Accelerated computing requires full-stack and data
center-scale innovation across silicon, systems,
algorithms and applications.
Significant expertise and effort are required, but
application speed-ups can be incredible, resulting
in dramatic cost and time-to-solution savings.
For example, 10 NVIDIA HGX nodes with 80 NVIDIA
A100 GPUs that cost $4M can replace 920 nodes of
CPU servers that cost over $50M for Al inference.
NVIDIA chips carry the value of the full-stack,
not just the chip.
Gross Profit (Non-GAAP, $M) —Gross Margin (Non-GAAP)
$17,969
$15,965
$14,417
$10,947
67%
66%
$7,233
$6,821
63%
62%
59%
70%
FY19
FY20
FY21
FY22
FY23
1H FY24
Cost comparison example based on latest available NVIDIA A100 GPU and Intel CPU inference results in the commercially available category of
the MLPerf industry benchmark; includes related infrastructure costs such as networking.
FY23 financial metrics reflect a $2.2B charge for inventory and related reserves primarily related to Data Center and Gaming.
Fiscal year ends in January. Refer to Appendix for reconciliation of Non-GAAP measures. Gross margins are rounded to the nearest percent.
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