Michael Chenetz @mchenetz
Host of #TechNOut #podcast | #futurist | #AI | #cloudnative | #contentcreator | #guitar technout.com Philly Joined September 2009-
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I created MLXr because i couldn't find a lightweight OpenAI compatible server for hashtag#mlx compatible models on Apple hashtag#applesilicon. ✅ OpenAI Compatible endpoint ✅ Qwen compatible translations ✅ Tool call conversion ✅ Model management from Hugging Face ✅ Client configuration github.com/mchenetz/mlxr #ai #mlx #inferencing #gpt #llm #openai #qwen #qwen36
Introducing entity: a new open-source, COSI-compliant S3 object service for Kubernetes. Built from scratch (no MinIO) Operator + CRD driven Portworx-backed PVC provisioning COSI BucketClaim/BucketAccess support Clustered + TLS/mTLS Helm + GHCR + Kind e2e tests Repo: github.com/mchenetz/entity #kubernetes #cloudnative #opensource #devops #s3 #storage #platformengineering
Built and open-sourced SPLAI: a distributed AI execution fabric that treats AI workloads like Kubernetes treats containers. What makes it different: ✅ Distributed-first execution across CPU/GPU/edge workers ✅ DAG-based planning + policy-aware scheduling ✅ OpenAI-compatible API layer for drop-in integration ✅ Centralized model prefetch to workers (including Hugging Face) ✅ Optional auto-install of missing models on workers at request time ✅ End-to-end observability, retries, leases, and audit trails ✅ Runs local, on VMs, or on Kubernetes with Helm This is for teams that want production AI execution without being locked into centralized GPU stacks. If you’re building serious AI pipelines and want infra-aware orchestration, I’d love feedback from operators, platform engineers, and AI teams. github.com/mchenetz/SPLAI #AIInfrastructure #MLOps #PlatformEngineering #Kubernetes #OpenSource #LLMOps #DistributedSystems #DevOps #SPLAI
One of the coolest business cards i ever got was that time i met @stevewoz ! I love the metal business card!
@ibuildthecloud @llama_index I have started to play with that too. pretty cool!
@ibuildthecloud I know i saw something about gptscript.io and @llama_index but i can't seem to find it. Any tips on where it is?
@csantanapr @mchenetz Beyond your name, you really are a rock star, Carlos. Immensely entertaining value. Thanks for all you do. #OutshiftByCisco #FutureOfTech #AI #CloudNative
@ibuildthecloud @llama_index @langchain Yeah. I am quickly learning that!
@ibuildthecloud @llama_index That makes sense! I have been going down the whole @langchain rabbit hole!
@ibuildthecloud @llama_index Just trying to figure out how to integrate some embeddings and vector dbs. There could possible be a way with gptscript.ai but i am still learning. ;-)
I am having @ibuildthecloud and @smw355 of @acornlabs on #CloudUnfiltered this week so i thought i would create a gptscript.ai that would convert, transcribe and provide a YouTube Description for my #podcast. All it tooks was a few minutes and about 14 lines of text! Not Code! @OutshiftByCisco #chatgpt #AI #GenerativeAI
Great news for one of the tools i use the most for #AI development with local models!
Ollama 0.2 is here! Concurrency is now enabled by default. ollama.com/download This unlocks 2 major features: Parallel requests Ollama can now serve multiple requests at the same time, using only a little bit of additional memory for each request. This enables use cases
Ever wonder what the "Temperature" setting does in Generative AI? It can significantly impact your output. Check out the chart below to understand what the values mean. Essentially, it determines how creative the output should be. #AI #GenerativeAI #Technology #Innovation
I had so much fun chatting with Carlos Santana on #CloudUnfiltered! Carlos has such an amazing view on where the industry is going and always keeps his eye on the future. Check out the latest episode to here this really engaging conversation! @OutshiftByCisco #EKS @AWS #devops #platformengineering #AI
🌟 I’m thrilled to share my recent podcast interview on Cloud Unfiltered with @mchenetz In this episode, we explored: - The need for standardized platforms to streamline cloud-native development. - How Platform Engineering bridges the gap between feature engineers and
What a strange iPad commercial!
Meet the new iPad Pro: the thinnest product we’ve ever created, the most advanced display we’ve ever produced, with the incredible power of the M4 chip. Just imagine all the things it’ll be used to create.
It's a little rough so far but i commited the initial buld of my #AI tools for #audio and #podcasting to github. Feel free to beta test and let me know how it works. It is a work in progress. github.com/mchenetz/podto…
Created a new #opensource #AI tool for converting your videos into audio, transcribing them and then auto generating whatever you want from #OpenAI. #podcast @OpenAI This was created out of frustration when i would have to do all these things manually. Now i have a batch script that runs that does the following with this tool: 1. Converts video to audio 2. Transcribes 3. Creates Youtube Description File Monitor: TBD Web Interface: TBD Docker Image: TBD Self Hosted Transcribe: TBD More to come! Released in the next week or so.
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