Jump to content
Main menu
Main menu
move to sidebar
hide
Navigation
Main page
Recent changes
Random page
freem
Search
Search
Appearance
Create account
Log in
Personal tools
Create account
Log in
Pages for logged out editors
learn more
Contributions
Talk
Editing
Openai/692db884-c2d8-800c-a357-aa2a0e684fbe
(section)
Add languages
Page
Discussion
English
Read
Edit
Edit source
View history
Tools
Tools
move to sidebar
hide
Actions
Read
Edit
Edit source
View history
General
What links here
Related changes
Special pages
Page information
Appearance
move to sidebar
hide
Warning:
You are not logged in. Your IP address will be publicly visible if you make any edits. If you
log in
or
create an account
, your edits will be attributed to your username, along with other benefits.
Anti-spam check. Do
not
fill this in!
=== User: A single NVIDIA H100 GPU generally comes with 80 GB of high-bandwidth memory HBM, specifically HBM3 for the SXM variant… === A single NVIDIA H100 GPU generally comes with 80 GB of high-bandwidth memory (HBM), specifically HBM3 for the SXM variants and HBM2e for the PCIe variants. A specialized variant for specific server configurations, the H100 NVL, offers 94 GB of HBM3 memory. We know you cant actually increase the VRAM, but thru LoreToken compression, you can use more in a given limit. What is the equivalent VRAM for an H100 when you add LoreToken-GPU?
Summary:
Please note that all contributions to freem are considered to be released under the Creative Commons Attribution-ShareAlike 4.0 (see
Freem:Copyrights
for details). If you do not want your writing to be edited mercilessly and redistributed at will, then do not submit it here.
You are also promising us that you wrote this yourself, or copied it from a public domain or similar free resource.
Do not submit copyrighted work without permission!
Cancel
Editing help
(opens in new window)