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CloudOptimo is an advanced cloud management platform that optimizes costs, enhances security, and streamlines operations for businesses leveraging cloud technology.
CloudOptimo is your trusted partner in navigating the cloud landscape. With a keen understanding of today's cloud challenges, CloudOptimo seamlessly blends cost optimization, security, and DevOps automation. We're committed to ensuring your cloud operations are efficient, secure, and agile, empowering businesses to achieve more with less, and making the cloud journey truly rewarding.
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DevOps Automation with OptimoScheduler:
Automated Workflows: Streamline and automate routine DevOps tasks, enhancing operational efficiency. - Resource Scheduling: Implement strategic policies to optimize non-critical resources, ensuring cost-effective cloud operations. - Seamless Integration: OptimoScheduler pairs effortlessly with OptimoGroup, amplifying cost savings and operational agility.
Dive into the CloudOptimo ecosystem and elevate your cloud operations to new horizons.
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Based on our record, Unsloth seems to be more popular. It has been mentiond 6 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Unsloth Desktop is what people have been waiting for. It's just been released as a beta. It's pretty much a single-click install. You download the installer and run it, and from there Unsloth Desktop handles everything else for you. Behind the scenes it scans your machine and determines what needs to be installed. It puts a wrapper around llama.cpp and MLX, which gives you all the power of the top open source... - Source: dev.to / 2 days ago
Unsloth is primarily a fine-tuning tool — it makes QLoRA training 2-5x faster with 50-70% less VRAM. It does NOT run inference. For inference, use Ollama/llama.cpp/MLX. - Source: dev.to / 5 months ago
LoRA is the breakthrough that democratized fine-tuning: by training only 1% of model weights, it reduces GPU/VRAM needs by 10-100x. QLoRA takes it further — quantizing to 4 bits enables fine-tuning 65B+ parameter models on a single consumer GPU with just 3GB VRAM (Unsloth). - Source: dev.to / 5 months ago
Unsloth AI is designed to optimize large language model fine-tuning on modest hardware. It leverages efficient training algorithms to allow even GPUs with 24GB VRAM, like consumer-grade cards, to fine-tune models such as Llama 3 without massive resource demands or overheating risks. - Source: dev.to / about 1 year ago
Lot's of tools for each of those separately (RAG and fine-tuning). We're working on combining them but it's not ready yet. You don't need a big GPU cluster. Fine-tuning is quite accessible via both APIs and local tools. Some suggestions: - getkiln.ai (biased, my tool): let's you try all of the below, and compare/eval the resulting models - API based tuning for closed models: OpenAI, Google Gemini - API based... - Source: Hacker News / over 1 year ago
Fireworks AI - Use state-of-the-art, open-source LLMs and image models at blazing fast speed, or fine-tune and deploy your own at no additional cost with Fireworks AI!
Turbonomic - Turbonomic AI-powered Application Resource Management simultaneously optimizes performance, compliance, and cost in real time. Applications are continually resourced, automatically, to perform while satisfying business constraints.
Ollama - The easiest way to run large language models locally
VMware Tanzu - Pivotal Platform is the unified, multi-cloud platform to run your enterprise apps at scale. Ship code more often, continuously deliver customer value, and thrive in a cloud-native era.
Plexe - Build and deploy ML models from natural language
Cloudability - Cloudability lets you monitor, manage and communicate your cloud costs with one easy tool.