Introducing a significant enhancement to the Valohai MLOps platform: Audit Log is an out-of-the-box solution that gives you transparency and control when navigating compliance requirements, debugging issues, or ensuring accountability within your team. hubs.ly/Q02WYmFv0

Here's how troubleshooting gets "done" with a glue stack 🩹🥴 But you can take the guesswork out of troubleshooting with Valohai's new Audit Log. It gives you log entries that detail all events and activities, ensuring traceability and accountability. valohai.com/blog/valohai-a…

Spotify's 2024 Wrapped is here, uncovering your guilty pleasures and poor ML practices… Is it too early to make New Year's resolutions for 2025?

🔥 In 2024, we made yet another leap towards accomplishing our mission: making MLOps scalable, efficient, and effortless! Join us in recapping the key additions to our MLOps platform and ecosystem integrations throughout the year ⬇️ hubs.ly/Q03027r_0

ML Ops is tough. Valohai simplifies it — no code changes needed. This week: - Metrics - Automation - Training control - Inference - Deployment models - Pricing 👉 A 6-part series starts now! #MLOps #AI #CloudComputing #TechSeries

Valohai doesn’t inject into your PyTorch or TF code. Framework metrics = yours. We track CPU, GPU, and RAM to help you right-size & debug. 👉 Observability without lock-in. #MachineLearning #DataScience #CloudComputing #ModelTraining #AIObservability #DevOps #MLOps

Metrics ≠ dashboards only. On Valohai you can: - Auto-stop jobs by threshold - Gate pipelines on metrics - Insert human approvals Automation built on YOUR data. #DataDriven #Automation #JobManagement #CI_CD #MachineLearning #PipelineIntegration #TechInnovation

It’s official 🚀 Valohai + Oracle = SageMaker-like MLOps for OCI. Repeatable, scalable, compliant ML workflows — now natively available on Oracle Cloud. More 👉 valohai.com/blog/valohai-o… #MLOps #OCI

Checkpointing? That’s YOUR code. Valohai: - Runs your training as-is - Persists & versions checkpoints - Auto-restarts jobs on spot VM preemptions Control + reliability. #MachineLearning #DataScience #AITraining #ModelVersioning #CloudComputing #MLOps #DevOps

Why AlphaFold Alone Won’t Speed Discovery. Biologists need hypothesis testing, ML engineers prioritize reproducibility, and Ops handle GPUs. Without proper workflows, AlphaFold might hinder progress. 👉 Learn to run it at scale. 🔗 Read more: hubs.ly/Q03KK-Y60

Valohai’s inference philosophy: - Real-time = your infra, your scaling rules - Batch = our queuing & scaling automation We deliver the model. You choose how it runs. #MachineLearning #AIInference #ModelDeployment #CloudComputing #DataScience #AutomationTools #Scalability

Running AlphaFold: ✅ Running AlphaFold without crashing GPUs: ❌ Running AlphaFold across multiple proteins, docking, and simulations: 🤯 👉 Maybe it’s not you — maybe it’s the workflow. 🔗 Dive deeper: hhttps://hubs.ly/Q03KXQzJ0

Biologist: “Can I just test this sequence in AlphaFold?” Engineer: “Sure, once we resize the GPU cluster” Ops: “And open the right ports” IT: “And approve the request” 👉 Discovery shouldn’t be a bureaucratic relay race. 🔗 Blog: hubs.ly/Q03KXQzJ0 #AlphaFold #GenAI

Not just SaaS. Valohai runs: 1️⃣ Hybrid SaaS 2️⃣ Private Cloud 3️⃣ Air-gapped Because ML ≠ one-size-fits-all. #MLOps

GPU queues: ⏳ Unoptimized runs: 💸 Blocked experiments: 😩 AlphaFold is powerful — but without the right workflow, it drains time & budgets. 👉 See how to fix it: hubs.ly/Q03KXQzJ0 #AlphaFold #GenAi #MLEfficiency #CostOptimization

No GPU/CPU metering. Valohai = per-user license. Your infra bill = yours. Our value = automation, reproducibility & governance. #CloudComputing #DataScience #MachineLearning #InfrastructureAsCode #DevOps #MLOps #AIResearch

Biologist: “Can I test this sequence in AlphaFold?” Engineer: “Sure, but let’s resize the cluster first.” Ops: “And reconfigure access.” IT: “And approve it.” 👉 Research shouldn’t move at bureaucratic speed. 🔗 Read more: hubs.ly/Q03KXQzJ0 #AlphaFold #GenAI

Running AlphaFold is easy. Running it efficiently at scale? That’s the real science. 🔬 👉 Learn how: hubs.ly/Q03KXQzJ0 #AlphaFold #GenAI #MLOps #MLEfficiency