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⚡ Hardware Acceleration
GPU Computing, Tensor Cores, Specialized Chips, SIMD Instructions
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182678
posts in
48.5
ms
TSMC
: Faster chips without a new
ASML
machine
🔧
Chip Supply Chain
techzine.eu
·
3d
I made my C++
vector
search engine 16x faster by changing data
layout
, not the algorithm
📊
Columnar Databases
dubeykartikay.com
·
1d
·
Hacker News
,
r/cpp
,
r/programming
LiteRT-LM
Overview | Google AI Edge | Google AI for Developers
🖥️
Local AI
ai.google.dev
·
22h
Learning About
FPGAs
in Finance
⚡
High-Frequency Trading
semidesignjobs.com
·
3h
·
Hacker News
The Race to Make the World’s Most In-Demand Machine
💾
Embedded Systems
wsj.com
·
1d
Gte-go
– my
over-optimized
embedding model
🔗
RAG
rcarmo.github.io
·
1h
·
Hacker News
Google's new
chips
are a shot at Nvidia — and a big
hint
at where AI goes next
🔬
Tech & Science
businessinsider.com
·
4d
Google splits AI chips into training and inference
TPUs
, signaling shift toward
workload-specialized
AI infrastructure
🏛
Sovereign AI Infrastructure
digitimes.com
·
2d
dogmaticdev/SIMD-Tokenizer
: A Hyper
Optimzed
Tokenizer written in handwritten assembly. Made for SSE2 cpu architectures.
🔍
Binary Diffing
github.com
·
1d
·
Hacker News
Google debuts
eighth-gen
TPU
chips for training and inference with big performance claims
☁️
GCP
neowin.net
·
4d
Google
Bets
on New Chips to Boost AI Results,
Challenging
Nvidia
📊
Compute Markets
bloomberg.com
·
6d
Google doesn't pay the Nvidia tax. Its new
TPUs
explain
why.
📊
Compute Markets
venturebeat.com
·
4d
Google and
Marvell
develop
AI chips to challenge Nvidia
🧠
OpenAI
kite.kagi.com
·
6d
Two new
TPUs
to power the next wave of AI training and
inference
at Google
☁️
GCP
siliconangle.com
·
4d
Google plans nearly two million new AI chips as it turns to
Marvell
for custom
designs
✍️
Prompt Engineering
the-decoder.com
·
6d
Silverdraft
Supercomputing and
Mechdyne
Partner to Deliver High-Density, Energy-Efficient GPU Computing Solutions
🔬
Tech & Science
hybridcars.einnews.com
·
6d
Google unveils two new
TPUs
designed
for the "agentic era"
☁️
GCP
arstechnica.com
·
4d
·
r/GooglePixel
Elon Musk says
TeraFab
will use Intel's
14A
process technology to make AI chips — SpaceX will be responsible for high-volume chip manufacturing in likely Intel tech licensing deal
🔬
Semiconductor Policy
tomshardware.com
·
4d
·
Hacker News
FPGA dev claims the Neo Geo
AES
+ is "basically the
MiSTer
core" broken up into separate chips
🔐
Hardware Security
gamesradar.com
·
5d
The 80386 memory
pipeline
🏷️
Memory Tagging
blog.adafruit.com
·
5d
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