corpus.blog
41554 blogs · 4,417,066 posts Claim your blog
Record · corpus.blog/posts/01a07d5d-9bfe-73b8-8ed5-779b63848ff3

TurboQuant: Redefining AI efficiency with extreme compression

Google Research · published 24 March 2026

A record is what was published and who pointed at it. The text of the post is not held here: read it at the source, or at its Wayback capture.

Read the post at research.google Wayback capture
19blogs citing
First cited
25 Mar 2026
Most recent
26 Jul 2026
Rank this month
not ranked
Links from this post
33
Words captured
1,397

Cited by

Blog
In the post
Date
msandbu.org
How Big Is a Fish? Making Sense of GenAI’s Energy Use Read at the source ↗
26 Jul 2026
Martin Alderson
A brief history of KV cache compression developments Read at the source ↗
15 Jun 2026
Sean's Blog
Making Local LLM Go Brrr Read at the source ↗
4 Jun 2026
ivanpleshkov.dev
TurboQuant + RaBitQ: a hybrid approach in Qdrant Read at the source ↗
12 May 2026
Qdrant
Qdrant 1.18 - TurboQuant Read at the source ↗
11 May 2026
crow-queen.com
9th May 2026 Read at the source ↗
9 May 2026
ivanpleshkov.dev
Polynomial autoencoder Read at the source ↗
5 May 2026
The Homepage of Dave Rupert - daverupert.com
The duality of language models in the browser Read at the source ↗
4 May 2026
senko
April quick-takes Read at the source ↗
1 May 2026
bartoszlenart.com
The Geometry of Compression: Why Angles Survive What Raw Storage Loses Read at the source ↗
1 May 2026
Thorsten Ball
Joy & Curiosity #81 Read at the source ↗
12 Apr 2026
nvarma.com
Vibecoding a Video Editing Pipeline Read at the source ↗
6 Apr 2026
anirudhsathiya.com
⭐Why Your First Token Is Always Late Read at the source ↗
6 Apr 2026
Martin Alderson
What next for the compute crunch? Read at the source ↗
6 Apr 2026
shbhmrzd.github.io
TurboQuant and Vector Quantization: From Shannon to KV Cache Compression Read at the source ↗
4 Apr 2026
malfind.com
Testing local LLMs: Qwen 3.5 vs. PowerShell Obfuscation Read at the source ↗
2 Apr 2026
nicotsou.com
Autocomplete is my best colleague now Read at the source ↗
30 Mar 2026
@adlrocha Beyond The Code | Substack
@adlrocha - What if AI doesn’t need more RAM but better math? Read at the source ↗
29 Mar 2026
jens.dev
TurboQuant in gguf-runner: roughly half the memory at nearly the same speed Read at the source ↗
26 Mar 2026
seroter.com
Daily Reading List – March 25, 2026 (#749) Read at the source ↗
25 Mar 2026
Home
Understanding Google's TurboQuant Insight Read at the source ↗
25 Mar 2026

Links from this post

Link
Host
https://sidecar.ai/blog/demystifying-vectors-and-embeddings-in-ai-a-beginners-guide
sidecar.ai
https://huggingface.co/blog/not-lain/kv-caching
huggingface.co
https://en.wikipedia.org/wiki/Vector_quantization
en.wikipedia.org
https://www.youtube.com/watch?v=YlAWtEAJl9g
youtube.com
https://training.continuumlabs.ai/training/the-fine-tuning-process/parameter-efficient-fine-tuning/the-quantization-constant
training.continuumlabs.ai
https://arxiv.org/abs/2504.19874
arxiv.org
https://iclr.cc/
iclr.cc
https://dl.acm.org/doi/10.1609/aaai.v39i24.34773
dl.acm.org
https://arxiv.org/abs/2502.02617
arxiv.org
https://virtual.aistats.org/
virtual.aistats.org
https://www.sciencedirect.com/topics/engineering/quantizer
sciencedirect.com
https://pudding.cool/2018/02/waveforms/
pudding.cool
Unraveling the JPEG Read at the source ↗
parametric.press
https://arxiv.org/pdf/2103.00564
arxiv.org
https://en.wikipedia.org/wiki/Sign_bit
en.wikipedia.org
https://www.sciencedirect.com/topics/computer-science/attention-score
sciencedirect.com
https://en.wikipedia.org/wiki/Cartesian_coordinate_system
en.wikipedia.org
https://www.deepchecks.com/question/when-is-normalization-used-in-llm-models/
deepchecks.com
https://github.com/THUDM/LongBench
github.com
https://github.com/gkamradt/LLMTest_NeedleInAHaystack
github.com
https://www.google.com/search?q=https://www.zeroscrolls.com/
google.com
https://www.google.com/search?q=https://github.com/hsieh-ray/RULER
google.com
https://github.com/OpenLMLab/LEval
github.com
https://deepmind.google/models/gemma/
deepmind.google
Mistral 7B Read at the source ↗
mistral.ai
https://en.wikipedia.org/wiki/Distortion
en.wikipedia.org
https://developers.google.com/machine-learning/crash-course/classification/accuracy-precision-recall
developers.google.com
https://dl.acm.org/doi/10.5555/3692070.3693381
dl.acm.org
https://www.nvidia.com/en-us/data-center/h100/
nvidia.com
https://ieeexplore.ieee.org/document/5432202
ieeexplore.ieee.org
https://dl.acm.org/doi/abs/10.1145/3654970
dl.acm.org
https://towardsdatascience.com/evaluation-metrics-for-recommendation-systems-an-overview-71290690ecba/
towardsdatascience.com
https://arxiv.org/pdf/2504.19874
arxiv.org