error with array buffer allocation failure

Describe your context Steps to setup my environment

conda create -n test python=3.8
conda activate test
pip install dash==1.17.0
pip install plotly==4.12.0
pip install numpy==1.18

My pip list

Brotli               1.0.9
certifi              2020.11.8
click                7.1.2
dash                 1.17.0
dash-core-components 1.13.0
dash-html-components 1.1.1
dash-renderer        1.8.3
dash-table           4.11.0
Flask                1.1.2
Flask-Compress       1.8.0
future               0.18.2
itsdangerous         1.1.0
Jinja2               2.11.2
MarkupSafe           1.1.1
numpy                1.18.0
pip                  20.2.4
plotly               4.12.0
retrying             1.3.3
setuptools           49.6.0.post20201009
six                  1.15.0
Werkzeug             1.0.1
wheel                0.35.1
wincertstore         0.2

My System

OS: Win10 Pro
Browser: Chrome v86.0.4240.193
NodeJS v12.16.2

Describe the bug I am getting Array buffer allocation failed error when I try to generate a 3D plot with a huge number of data points in it. Here is my code to reproduce the error when using n=2500

import dash
import dash_core_components as dcc
import dash_html_components as html
import numpy as np
import plotly.graph_objs as go

def get_figure(n):
    x = np.linspace(-100, 100, n)
    y = np.linspace(-100, 100, n)
    xx, yy = np.meshgrid(x, y)
    r = np.sqrt(xx**2 + yy**2)
    zz = np.sin(r) * np.cos(xx)
    return go.Figure(
        data = go.Surface(z=zz),
        layout=dict(width=600, height=600))

app = dash.Dash(__name__, suppress_callback_exceptions=True)

server = app.server
app.layout = html.Div(
    dcc.Graph(
        figure=get_figure(n=2500)
    )
)

if __name__ == '__main__':
    app.run_server(debug=True)

Expected behavior Here is how it looks when I lower the value n, to n=800. I expect dash to render the 3D plot without a problem at n>=2500 but it gives me the Array buffer allocation failed error.

plotly / plotly.js

error with array buffer allocation failure #5278