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Jerkmate
https://www.redhat.com/de/products/ai/instructlab-on-ibm-cloud
Red Hat AI InstructLab on IBM Cloud: LLMs effizient anpassen
Mit Red Hat AI InstructLab on IBM Cloud können Nutzende spezifische Daten zu LLMs beitragen. Für skalierbare, kosteneffiziente KI-Anpassung in Unternehmen.
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https://budecosystem.alwaysdata.net/reducing-llm-operational-costs-through-hybrid-inference-with-slms-on-intel-cpus-and-cloud-llms/
Reducing LLM Ops Costs through Hybrid Inference with SLMs on Intel CPUs and Cloud LLMs –...
Despite the transformative potential of generative AI, its adoption in enterprises is lagging significantly. One major reason for this slow uptake is that many...
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https://ollama.com/blog/minions
Minions: where local and cloud LLMs meet · Ollama Blog
Avanika Narayan, Dan Biderman, and Sabri Eyuboglu from Christopher Ré's Stanford Hazy Research lab, along with Avner May, Scott Linderman, James Zou, have...
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https://discuss.google.dev/t/google-cloud-event-series-llms-apis-and-connectors-making-genai-come-to-life/167130
Google Cloud Event Series: LLMs, APIs, and Connectors: Making GenAI Come to Life - Community News &...
 Calling all API enthusiasts, AI innovators, and security champions!...
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https://www.atscale.com/integrations/
Integrations: Analytics, Cloud Platforms, LLMs & More | AtScale
Feb 4, 2026 - Explore AtScale integrations for data platforms and BI tools, and build data-driven insights faster with a purpose-built semantic layer.
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https://www.snowflake.com/de/product/features/cortex/
Snowflake Cortex: Native KI und LLMs in Ihrer Data Cloud
Mit Snowflake Cortex LLMs sicher ausführen, KI-gestützte Apps entwickeln und Einblicke aus generativer KI erschließen, in der kontrollierten Snowflake-Umgebung.
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https://blog.patshead.com/2026/01/open-code-with-local-llms-can-a-16-gb-gpu-match-cloud-performance.html
OpenCode with Local LLMs -- Can a 16 GB GPU Compete With The Cloud? - Patshead.com Blog
There was a post on Hacker News yesterday about ByteShape’s success running Qwen 30B A3B on a Raspberry Pi with 16 gigabytes of RAM. I wondered …
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