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⚡ Hardware Acceleration
GPU Computing, Tensor Cores, Specialized Chips, SIMD Instructions
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27052
posts in
857.1
ms
Beyond a Single
Queue
:
Multi-Level-Multi-Queue
as an Effective Design for
SSSP
problems on GPUs
arxiv.org
·
13h
📊
Model Serving Economics
Conformational
diversity and fully opening mechanism of native
NMDA
receptor
nature.com
·
2h
🧪
Glutamate
Hardware
Reviews
bluesnews.com
·
1h
🖥️
Hardware Architecture
Cisco: New 102.4
Tbit/s
Switching Chip Silicon One
G300
for AI Data Centers
europedigital.cloud
·
4h
🔗
High-Speed Networking
Buffed
cyborgs
hypertexthero.com
·
25m
🆕
New AI
A data-efficient foundation model for
porous
materials based on expert-guided
supervised
learning
nature.com
·
5h
🕸️
Sparse Embeddings
Running
LTX-2
19B
on a Jetson Thor — open-source pipeline with full memory lifecycle management
github.com
·
2d
·
Discuss:
r/LocalLLaMA
🏗️
LLM Infrastructure
Show HN:
Berkeley
Xcelerator
– early-stage AI and agentic AI accelerator
rdi.berkeley.edu
·
21h
·
Discuss:
Hacker News
🖥
GPUs
Safety
mechanisms
of AI models more
fragile
than expected
techzine.eu
·
1d
🛡️
AI Safety
How
Anam
Achieved 250% Faster Inference Using
Zymtrace
Continuous GPU Profiling
zymtrace.com
·
2d
📊
Model Serving Economics
Cache-aware
disaggregated
inference for up to 40% faster long-context LLM
serving
together.ai
·
18h
💾
Prompt Caching
AI + Mobile Networks: Intel
Showcases
What’s Next at
MWC
2026
newsroom.intel.com
·
1d
🏗️
LLM Infrastructure
Rewrote
my Node.js data generator in Rust. 20x faster, but the 15MB binary (vs 500MB node_
modules
) is the real win.
algomimic.com
·
20h
·
Discuss:
r/rust
🏹
Apache Arrow
Cadence
rolls out
ChipStack
, an AI agent to help chipmakers like Nvidia speed up the complex chip design process by up to 10x by building a "mental model" (Step...
techmeme.com
·
1d
💻
Chips
Elon's moon factory 🚀, Chrome
WebMCP
🤖, Stripe
minions
👨💻
tldr.tech
·
18h
💻
Chips
AFMTJ
Model For In-Memory Computing (University of
Arizona
)
semiengineering.com
·
1d
📦
In-process Databases
Beyond the
Hype
: Why Machine Learning is the Strategic
Backbone
of Modern AI
pub.towardsai.net
·
22h
🏆
LLM Benchmarking
SAE Feature
Matchmaking
(Layer-to-Layer) by
Mitali
M
greaterwrong.com
·
1d
🔍
AI Interpretability
AI giants are
racing
to secure
shrinking
memory. It’s creating opportunities for startups
sifted.eu
·
2d
💾
Prompt Caching
Intel Arc
B390
Panther Lake Generational Performance Since The
Gen9
Graphics Era Review
phoronix.com
·
2h
🖥
GPUs
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