Selectel
PulseAugur coverage of Selectel — every cluster mentioning Selectel across labs, papers, and developer communities, ranked by signal.
3 day(s) with sentiment data
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Russia GPU rental vs. purchase: Cost analysis for AI tasks
The decision between renting or purchasing GPUs for AI tasks in Russia depends heavily on usage patterns and cost analysis. While some providers offer hourly rates for various models like Tesla A100 and RTX 4090, prices…
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AMD's 256-core 'Venice' EPYC processor to use TSMC 2nm tech
AMD is reportedly developing a new EPYC processor codenamed 'Venice,' featuring 256 cores and utilizing TSMC's 2nm process technology. This high-performance chip is expected to be a dual-socket design and may require li…
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AI vocal synthesis for Russian faces quality, cost, and licensing hurdles
Generating realistic Russian vocals with AI presents significant challenges, as different models exhibit varying levels of performance with the same text. While some services struggle with pronunciation and stress, othe…
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AI's Infrastructure Needs Extend Beyond Powerful GPUs
Powerful video cards alone are insufficient for the demands of artificial intelligence, according to Dmitry Shichenko, head of development at Selectel. He explains that while GPUs are crucial for AI computations, the ov…
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AI integration in business faces practical challenges and provides mixed results · 3 sources tracked
Artificial intelligence is rapidly advancing and being integrated into business processes, but its implementation is not without challenges. While AI can assist in tasks like generating content or improving trading effi…
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One in four Russian companies use AI in the cloud, study finds
A recent study by Selectel and Apple Hills Digital reveals that one in four Russian companies are utilizing AI within their cloud infrastructure. The research focused on cloud consumption trends in Russia's corporate se…
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Technical article explores local and non-local AI models
This cluster contains a single item that appears to be a technical article or blog post discussing local and non-local AI models. The provided text is primarily in Russian and includes a link to a Mastodon post, which i…
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Article questions LLM size-vs-performance myth
A recent article challenges the prevailing notion that larger LLMs are inherently superior, questioning the significance of model size in 2026. It posits that the industry's classification of models by parameter count (…
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Deploy Llama 3 in the Cloud with Ollama and Open WebUI
This article details how to deploy large language models like Llama 3 in a cloud environment using Ollama and Open WebUI. It addresses the limitations of local LLM setups for team access, RAG integration, or service emb…
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AI infrastructure advances target GPU savings and agent system standards
This ML digest covers advancements in AI infrastructure, focusing on reducing GPU costs by 2.5 times and optimizing AI for backend operations. It explores new standards for agent systems and addresses challenges in depl…
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LangGraph enables cloud LLM integration with auto-generated APIs
This article details the second part of a series on cloud-based LLMs, focusing on integrating them into products. It explains how to build a graph infrastructure using local or any OpenAI-compatible models. The process …
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AI industry evolves to autonomous systems, with hardware and integration investments surging
The AI industry is shifting from simple chatbots to autonomous engineering systems, with recent developments highlighting key trends. These include agents gaining more independence, hardware adapting to the demands of l…
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Ant Colony Optimization algorithm finds new life in graph neural networks
A 1992 algorithm inspired by ant colony behavior has resurfaced, demonstrating remarkable efficiency in solving complex problems. Initially developed from observations of Argentine ants, the Ant Colony Optimization (ACO…