this post was submitted on 12 Feb 2025
59 points (100.0% liked)

LocalLLaMA

2792 readers
8 users here now

Welcome to LocalLLaMA! Here we discuss running and developing machine learning models at home. Lets explore cutting edge open source neural network technology together.

Get support from the community! Ask questions, share prompts, discuss benchmarks, get hyped at the latest and greatest model releases! Enjoy talking about our awesome hobby.

As ambassadors of the self-hosting machine learning community, we strive to support each other and share our enthusiasm in a positive constructive way.

founded 2 years ago
MODERATORS
 

One might question why an RX 9070 card would need so much memory, but increased capacity can serve purposes beyond gaming, such as Large Language Model (LLM) support for AI workloads. Additionally, it’s worth noting that RX 9070 cards will use 20 Gbps memory, much slower than the RTX 50 series, which features 28-30 Gbps GDDR7 variants. So, while capacity may increase, bandwidth likely won’t.

you are viewing a single comment's thread
view the rest of the comments
[–] [email protected] 1 points 1 month ago

Has monolithic Vs chiplet been confirmed for 9070? A narrow buswidth on a much smaller (compared to previous I/O-die) technology would mean a whole lot in regards to surface area available for the stream processors.