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Prompt Caching
💾 Prompt Caching
Specific
Context Reuse, KV Cache, Inference Optimization, Token Efficiency
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Open Source AI
Anyscale blog posts
·
4d
4 days ago
High Performance Distributed
Inference
with Ray Serve
LLM
Covered by
Google Cloud Blog
Discussed on
Hacker News
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Actions for High Performance Distributed Inference with Ray Serve LLM
⚡
Fast AI Inference
primeintellect.ai
·
2h
2 hours ago
RL at 1T Scale: prime-rl Performance Deep Dive
Covers
4 stories
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including
Kimi K2.7-Code: open-source coding model with better token efficiency
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Actions for RL at 1T Scale: prime-rl Performance Deep Dive
📋
MCP
medium.com
·
1d
1 day ago
Debugging Deployments with Gemma 12B, TPU v6e-1, MCP, and Antigravity CLI
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Actions for Debugging Deployments with Gemma 12B, TPU v6e-1, MCP, and Antigravity CLI
🤖
Agent Payments
noob-programmer.medium.com
·
6h
6 hours ago
How I Cut a $1,000/Month Agent Bill to Under $300 — The Exact Stack
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Actions for How I Cut a $1,000/Month Agent Bill to Under $300 — The Exact Stack
🎮
Deterministic Simulation
GitHub
·
1d
1 day ago
test(agents): add large
prompt
cache
coverage (#95653)
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Actions for test(agents): add large prompt cache coverage (#95653)
⚡
Fast AI Inference
arXiv
·
4d
4 days ago
CacheWeaver
: Cache-Aware Evidence Ordering for
Efficient
Grounded RAG
Inference
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Actions for CacheWeaver: Cache-Aware Evidence Ordering for Efficient Grounded RAG Inference
🔌
Claude Plugins
code.claude.com
·
4d
4 days ago
How Claude Code uses
prompt
caching
Covers
How I built a three-tier content quality ladder for programmatic directory ETL
Covered by
DEV Community
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Actions for How Claude Code uses prompt caching
🏗️
LLM Infrastructure
medium.com
·
3d
3 days ago
vLLM
, Function Calling, and World Models explained
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Actions for vLLM, Function Calling, and World Models explained
🔓
Open Source AI
fitservers.com
·
3d
3 days ago
The Complete Guide to Deploying DeepSeek R1 on a Dedicated Server
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Actions for The Complete Guide to Deploying DeepSeek R1 on a Dedicated Server
🏗️
LLM Infrastructure
abhishek.it
·
4d
4 days ago
Running GLM-5.2 5x faster at 500tps with limitation
Discussed on
Hacker News
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Actions for Running GLM-5.2 5x faster at 500tps with limitation
🏗️
LLM Infrastructure
Google Cloud Blog
·
5d
5 days ago
Scaling Ray Serve
LLM
on GKE: Performance without losing the developer experience
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Actions for Scaling Ray Serve LLM on GKE: Performance without losing the developer experience
⚡
Fast AI Inference
thecybersidekick.beehiiv.com
·
4d
4 days ago
AI
Inference
at the Edge: Running Real-Time LLMs in Kubernetes Without a GPU Farm
Discussed on
DEV
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Actions for AI Inference at the Edge: Running Real-Time LLMs in Kubernetes Without a GPU Farm
🔓
Open Source AI
GitHub
·
6d
6 days ago
Sors: a Rust proxy that reorders
prompts
to maximize
vLLM
prefix
cache hits
Discussed on
Hacker News
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Actions for Sors: a Rust proxy that reorders prompts to maximize vLLM prefix cache hits
🏗️
LLM Infrastructure
arXiv
·
6d
6 days ago
Models Take Notes at
Prefill
:
KV
Cache
Can Be Editable and Composable
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Actions for Models Take Notes at Prefill: KV Cache Can Be Editable and Composable
🏗️
LLM Infrastructure
GitHub
·
4d
4 days ago
Profile(v2.1.4) physics-aware
optimizer
for
vLLM
(31→470
tok/s
on A100)
Discussed on
Hacker News
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Actions for Profile(v2.1.4) physics-aware optimizer for vLLM (31→470 tok/s on A100)
🏆
LLM Benchmarking
arXiv
·
6d
6 days ago
Towards Distributed
Inference
of LLMs on a P2P Network
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Actions for Towards Distributed Inference of LLMs on a P2P Network
🏗️
LLM Infrastructure
GitHub
·
3d
3 days ago
I got tired of not understanding how
vLLM
works under the hood, so I built my own mini
inference
engine from scratch.
Discussed on
r/LLM
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Actions for I got tired of not understanding how vLLM works under the hood, so I built my own mini inference engine from scratch.
🧠
LLM Inference
arXiv
·
4d
4 days ago
UltraQuant: 4-bit
KV
Caching
for
Context-Heavy
Agents
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Actions for UltraQuant: 4-bit KV Caching for Context-Heavy Agents
🔓
Open Source AI
GitHub
·
3d
3 days ago
datalab-to/lift: Extract structured data from documents quickly and accurately.
Covered by
habr.com
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Actions for datalab-to/lift: Extract structured data from documents quickly and accurately.
⚡
Fast AI Inference
arXiv
·
6d
6 days ago
Plug-and-Adapt: Multimodal Coreference Resolution at First Sight with a Pretrained Alignment Model
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Actions for Plug-and-Adapt: Multimodal Coreference Resolution at First Sight with a Pretrained Alignment Model
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