How Abridge replaced SLURM with SkyPilot for faster AI development

Mixture-of-Experts (MoE) thrives on one principle: routing to the right model at the right time. Now imagine applying that idea to production infrastructure. That’s what Vercel’s AI Gateway is doing—multi-model routing, automatic failover, and latency under 20ms. It’s essentially MoE for your AI stack. Pair this with EmbeddingGemma running locally for embeddings, and suddenly you can balance on-device expertise with cloud-scale intelligence. A hybrid, cost-aware MoE pipeline emerges. This is a glimpse of where MoE meets production reality: smarter routing, distributed intelligence, and adaptive systems that can operate across devices and providers. 🚀

Big news from Cast AI today, as they launch Container Live Migration - a gamechanging capability for stateful workloads. Learn more below!

Wassette redefines how AI agents access and run tools. Built on WebAssembly and the Wasmtime runtime, Wassette enables agents to autonomously fetch and execute OCI-hosted components with secure sandboxing and fine-grained permissions. It’s a powerful leap toward scalable, modular, and secure AI workloads—fully open source and ready to integrate with MCP-compatible agents. Full article available at: https://msft.it/6049snaxh

🚀 AI is transforming the SaaS landscape Here's how we’ve embedded AI capabilities throughout the Prismatic platform to make it easier to build integrations: ✨ AI rulesets – Build connectors and integrations with AI assistants like Claude Code, Cursor, and Windsurf. ⚡ MCP server – Let AI agents trigger integrations in your platform, making it AI-native out of the box. 🔗 LLM connectors – Call AI directly from your integrations for instant functionality. Ready to build smarter integrations? https://buff.ly/uGhPt4t #embeddedipaas #saasintegrations #aiintegrations

Discover the latest advancements in AI Core Orchestration. We'll explore the new harmonized embeddings endpoint that simplifies support for multiple model vendors. Additionally, we'll look at how orchestration configuration persistence can separate...

AI-Augmented CI/CD Enters the Co-Pilot Era Trend: A new architecture integrates LLMs as policy-bound co-pilots in CI/CD workflows, enabling staged autonomy and trust-aware deployments. Why it matters: Human oversight meets hyper-efficiency—autonomy that’s controlled, not chaotic. Question: Would you co-pilot with AI under guardrails? 🔁 Repost if responsible automation wins 🔔 Follow me for models of trust in pipelines ✈ AI co-pilots just need policies

Abhishek Sastri has build an interesting AI platform https://www.fluix.ai/ that saves up to 40% energy consumption by adjusting HVAC, cooling and other energy expenditures based on peak load cycles. Think of this as a super smart AI based version of Nest Thermostat for data centers on steroids!

If you're exploring how to bring AI to embedded systems, maintenance workflows, or field ops, GPT‑OSS is ideal for resource-constrained deployments. now you can: Run GPT‑OSS on edge hardware or in private data centers. Use only 1 GPU per instance, thanks to Mixture of Experts design. Integrate with real-time systems, internal documentation, or anomaly detection. Let me know if you’d like a sandbox to test it.

New in FastRouter: Granular Sorting for AI Models Developers shouldn’t have to dig through endless docs and benchmarks just to pick the right model. That’s why we’ve added new "sort" controls to the FastRouter model explorer. You can now sort models by: 1. Latency (Low → High) — Identify the fastest responding models for real-time apps ⚡ 2. Throughput (High → Low) — Optimize for large-scale workloads and token-heavy tasks 📈 3. Alongside existing parameters like pricing and intelligence scores 💲 The result? Faster evaluations, better model selection, and less time spent on manual comparisons. 👉 Try it here: fastrouter.ai #FastRouter #LLMInfra #AIEngineering #Latency #Throughput #DevTools

Trusted across industries → now in motion. We built ShareAI so teams can ship AI without managing infra: one API, 150+ models, many providers. Our global peer grid routes every request to the best provider (latency, price, region) and fails over automatically—70% of spend goes back to the GPUs powering your calls. This short clip shows a few of the teams standardizing on ShareAI. Plug in once, choose any model, and go live. The People-Powered AI API. Try it in the Playground or see the model marketplace https://shareai.now/