Podcast thumbnail for Hailo AI - The Edge AI-sle

Hailo AI - The Edge AI-sle

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by Hailo AI

9 episodes
Updated Weekly
Accepts GuestsHas Sponsors
55

Podcast Authority

Beta
FairBased on show quality, social media presence, reviews, charts, and more
Pod Engine
Quality75
Social0
YouTube86
Engagement0

Podcast Overview

"The Edge AIsle" brings you to the forefront of artificial intelligence and edge computing, powered by Hailo.ai. In this podcast, we explore how edge AI is reshaping industries from smart cities and intelligent video analytics to autonomous vehicles and retail innovation. Join industry experts and thought leaders as they share insights into how Hailo’s AI processors are transforming the way industries function, enabling real-time deep learning and AI-driven applications directly on edge devices. This isn’t just a podcast about technology—it's about how AI is empowering industries and improving lives across the globe. Whether it’s smart cameras making our cities safer or AI accelerators driving innovation in autonomous vehicles, the possibilities are endless. If you're passionate about the nuts and bolts of AI processors and how they integrate with edge platforms to deliver unparalleled performance, "The Edge AIsle" is the podcast for you. Expect detailed analysis and a peek behind the curtain at the future of edge computing AI.

Language

🇺🇲

Publishing Since

12/8/2024

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55

Podcast Authority

Beta
FairBased on show quality, social media presence, reviews, charts, and more
Pod Engine
Quality75
Social0
YouTube86
Engagement0
10
Excellent Areas
0
Good Performance
9
Growth Opportunities
excellent
Episode Length
23 minutes
Performing excellently!
needs improvement
Publishing Consistency
Every 16 days

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Recent Episodes

Episode thumbnail for How the DRAM Shortage Is Changing Edge AI – Hailo AI Ep 9

January 28, 2026

How the DRAM Shortage Is Changing Edge AI – Hailo AI Ep 9

<p>As DRAM availability tightens and prices rise sharply, AI system designers are facing growing challenges in cost, scalability, and deployment timelines.</p><p>In this episode, Haley from Hailo summarizes the key insights from our latest blog exploring the global <a href="https://hailo.ai/blog/dram-shortage-in-edge-ai-doing-more-with-less/">DRAM shortage</a> and its implications for <a href="https://hailo.ai/">edge AI</a> architecture.</p><p>We discuss why DRAM prices have increased up to 3–4× since Q3 2025, how datacenter demand for DDR5 and HBM is impacting supply, and why memory-heavy AI designs are becoming harder to scale.</p><p>You’ll learn how DRAM-less <a href="https://hailo.ai/products/ai-accelerators/hailo-8-ai-accelerator/">AI accelerators</a> enable efficient <a href="https://hailo.ai/products/ai-vision-processors/hailo-15-ai-vision-processor/">vision AI without external memory</a>, when <a href="https://hailo.ai/products/hailo-software/model-explorer/generative-ai/">generative AI</a> still requires DRAM, and how smaller models and hybrid edge-cloud strategies are shaping more resilient AI systems.</p><p>Chapters:<br>(00:00) Introduction<br>(00:05) What is DRAM and why it matters<br>(00:18) Why DRAM prices are rising<br>(00:29) Impact on edge AI deployment<br>(00:41) DRAM-less AI accelerators<br>(00:52) Vision AI without external memory<br>(01:05) Cost and supply-chain benefits<br>(01:11) Generative AI and memory needs<br>(01:19) Small models and edge inference<br>(01:26) Building DRAM-resilient AI systems<br>(01:29) Key takeaway</p><p>Follow Us:</p><p><a href="https://www.linkedin.com/company/hailo-ai/">Hailo AI LinkedIn</a></p><p><a href="https://www.facebook.com/HailoTech/">Hailo AI Facebook</a></p><p><a href="https://x.com/Hailo_ai">@Hailo_ai</a></p><p><a href="https://www.youtube.com/@hailo2062">https://www.youtube.com/@hailo2062</a></p>

Episode thumbnail for Running LLM at the Edge with Hailo-10H Ep 8

December 25, 2025

Running LLM at the Edge with Hailo-10H Ep 8

<p>In this Edge AIsle episode, we summarize the key insights from <a href="https://hailo.ai/">Hailo edge AI</a>’s blog Bringing Generative AI to the Edge: LLM on Hailo-10H. As generative AI continues to reshape industries, Large Language Models are becoming increasingly powerful, but also increasingly demanding in terms of compute, memory, and cost. This episode explains why traditional cloud-based LLM deployment introduces latency and expense, and why edge-based inference is emerging as a critical alternative. </p><p>We focus on how the Hailo-10H <a href="https://hailo.ai/products/ai-accelerators/hailo-10h-ai-accelerator/">LLM accelerator</a> enables efficient LLM inference directly on the device, addressing core edge constraints such as limited memory and power consumption. The discussion highlights why real-world LLM performance is measured using metrics like Time-to-First-Token (TTFT) and Tokens-Per-Second (TPS), and how near-instantaneous responses become possible when models are run locally rather than in distant data centers. </p><p>Finally, the episode explains the <a href="https://hailo.ai/blog/bringing-generative-ai-to-the-edge-llm-on-hailo-10h/">practical benefits of edge-deployed LLMs</a>: improved privacy, lower operational costs, and greater efficiency. By keeping data on the device, sensitive information never leaves the system, and reliance on continuous cloud compute is reduced. Techniques such as LoRA (Low-Rank Adaptation) make it possible to run powerful generative models at the edge without sacrificing performance. Discover how Hailo is enabling practical generative AI everywhere at <a href="https://hailo.ai/technology">https://hailo.ai/technology</a>.</p><p>Chapters:<br>(00:00) Introduction: Generative AI and LLMs at the Edge</p><p>(00:21) The Challenge of Large Language Models</p><p>(00:35) Introducing the Hailo-10H AI Accelerator</p><p>(00:55) Performance Metrics: TTFT and TPS</p><p>(01:11) Privacy Through Local LLM Inference</p><p>(01:15) Cost Reduction by Avoiding the Cloud</p><p>(01:28) LoRA and Efficient Edge LLM Deployment</p><p>(01:40) The Future of Generative AI at the Edge</p><p>(01:46) Closing Thoughts from Hailo<br><strong><br></strong>Follow Us:</p><p><a href="https://www.linkedin.com/company/hailo-ai/">Hailo AI LinkedIn</a></p><p><a href="https://www.facebook.com/HailoTech/">Hailo AI Facebook</a></p><p><a href="https://x.com/Hailo_ai">@Hailo_ai</a></p><p><a href="https://www.youtube.com/@hailo2062">https://www.youtube.com/@hailo2062</a></p>

Episode thumbnail for AI Video Forensic Validity – Hailo AI Ep 7

April 1, 2025

AI Video Forensic Validity – Hailo AI Ep 7

Hailo AI's Edge Aisle podcast interviews industry experts on how AI video enhancement impacts forensic validity, emphasizing provenance and metadata integrity for reliable evidence.

9 total episodes available

Deep-dive analytics for Hailo AI - The Edge AI-sle

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What is Hailo AI - The Edge AI-sle?

"The Edge AIsle" brings you to the forefront of artificial intelligence and edge computing, powered by Hailo.ai. In this podcast, we explore how edge AI is reshaping industries from smart cities and intelligent video analytics to autonomous vehicles and retail innovation. Join industry experts and thought leaders as they share insights into how Hailo’s AI processors are transforming the way industries function, enabling real-time deep learning and AI-driven applications directly on edge devices. This isn’t just a podcast about technology—it's about how AI is empowering industries and improving lives across the globe. Whether it’s smart cameras making our cities safer or AI accelerators driving innovation in autonomous vehicles, the possibilities are endless. If you're passionate about the nuts and bolts of AI processors and how they integrate with edge platforms to deliver unparalleled performance, "The Edge AIsle" is the podcast for you. Expect detailed analysis and a peek behind the curtain at the future of edge computing AI.

How often does this podcast release new episodes?

This podcast updates weekly.

Where can I listen to this podcast?

This podcast is available on 7 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.

Does this podcast accept guests?

Yes, this podcast regularly features guests.

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