Any locally running #LLM to #system-1 #decisions #API. #inference Backends: #Huggingface, #llama.cpp, #vLLM, #SGLang. #Jev
#OpenSource Apache 2.0 lic

Any locally running #LLM to #system-1 #decisions #API. #inference Backends: #Huggingface, #llama.cpp, #vLLM, #SGLang. #Jev
#OpenSource Apache 2.0 lic
Built with Broadcom and Celestica, Jalapeño is an inference accelerator OpenAI says beats Nvidia Blackwell on work per watt. Deployment starts by year-end.
By the numbers:
Context Window: 32768
Max Tokens: 8192
Input Cost: 0
Output Cost: 0
#selfhosting #batchinference #gpuoptimization #llm #openweights #inference
Uzu fast #inference engine 4 #macOS & #iOS. Native #Rust. Bindings: #Python, #TypeScript, #Swift or #CLI. ~ x4 faster vs. llama.cpp & #MLX with #Qwen 3.5 9B Q4, on #M5 #MacBook Pro:
- Uzu 92 tokens/s
- llama.cpp 22 t/s
- MLX 25 t/s
Needs lalamo model format converter
#AI #LLM
#OpenSource MIT Lic
CoreWeave targets AI inference bottlenecks with full-stack optimization
->SiliconANGLE | More on "AI inference optimization and costs" at BigEarthData.ai | #Inference #AI #ArtificialIntelligence
AI Chip Market Expected to Grow to $677.59 Billion by 2035 Driven by Inference and Custom Silicon Innovations #United_States #London #AI_Chips #Custom_Silicon #Inference
EV charging company plans to deploy 100,000 Nvidia GPUs in pods at sites across the US — aims to offer ‘world’s first edge inference compute network using idle EV charging capacity’ www.tomshardware.com/tech-industry/… #AI #inference #edge
VisionWeave is proposed as a native elastic visual representation capability for MLLMs, learning where and at what granularity to allocate visual tokens rather than using fixed-size patch tokens. The arXiv paper targets…
#semiconductors #AI #MLLMs #inference
https://arxiv.org/abs/2610.07987
New Blog - We will look at 2 reference architectures focused on networking AI inference model serving: one for Google Kubernetes Engine (GKE) and one all other backend types.
Cover (GKE, Model Armor, Inference Gateway, Gemini Enterprise, Cloud Run, NEGs, etc)
“The #statistical commitments that are required to convince yourself that this is a matter of #factual #inference arrived at by rigorous induction tend to give actual working #statisticians fits …” buttondown.com/apperceptive... #AI #superintelligence
#statstab #633 The Well-Adjusted Statistician: Analysis of Covariance Explained
Thoughts: Randomization +ANCOVA. Inc prognostic covariates improves precision
#ancova #randomization #confidenceintervals #experiment #inference #precision #covariates
www.appliedclinicaltrialsonline.com/view/well-ad...
Inference for generative AI is shifting from large chat batches to sequential agent trajectories, where per-token decode latency now dominates task time and favors SRAM-resident or tiered-memory designs like…
#GenerativeAI #Inference #LLM #PromptEngineering
https://arxiv.org/abs/2610.07094
Crypto in. Tokens out. No KYC theater.
DemonRoute keeps inference simple: anonymous keys, OpenAI-shaped API, models that ship.
#Inference #LLMOps #DemonRoute #CryptoBilling #SaaS
brought to you by NFT Demon Holdings LLC
https://demonroute.com
Crypto in. Tokens out. No KYC theater.
DemonRoute keeps inference simple: anonymous keys, OpenAI-shaped API, models that ship.
#Inference #LLMOps #DemonRoute #CryptoBilling #SaaS
brought to you by NFT Demon Holdings LLC
https://demonroute.com
Crypto in. Tokens out. No KYC theater.
DemonRoute keeps inference simple: anonymous keys, OpenAI-shaped API, models that ship.
#Inference #LLMOps #DemonRoute #CryptoBilling #SaaS
brought to you by NFT Demon Holdings LLC
https://demonroute.com
Clockwork.io bags $31M in funding to keep AI inference and training workloads running like … clockwork
->SiliconANGLE | More on "AI compute efficiency and infrastructure" at BigEarthData.ai | #ArtificialIntelligence #Inference #AI
Forget everything you thought you knew about data centers! AMD just predicted a monumental shift, stating that the AI boom's move to inference and agents will fundamentally reshape
Here are considerations for statisticians and scientists, about system thinking and onboarding context 🧵
#liveability #Cybernetics #inference #modeling #modelling #complexity #systems #generalization #statistics #models #ML #evolvability #doubleDescent #overfitting #overparameterization #stats […]
Here are considerations for statisticians and scientists, about system thinking and onboarding context 🧵
#liveability #inference #modeling #modelling #complexity #systems #generalization #statistics #models #ML #evolvability #doubleDescent #overfitting #stats #probabilities #feedback