There’s a myth that GPU prices always fall fast. H100 hourly pricing data shows the opposite in many cases.

Super Thrilled to have such an amazing Panel speaker!

There’s a common belief that GPUs depreciate fast and prices collapse over time. The data says otherwise. Here’s a comparison of H100 hourly pricing from Sep 2024 to Feb 2026. In most cases, prices are up, not down. @shadeformai @CoreWeave @denvrdataworks @SemiAnalysis_ – at Canada

While people are getting excited with #vibecoding and Claude code as it will replace Salesforce. But in reality it will eat lunch of many single feature Tools who are charging decent price. My take is that this whole tech interview/test market will look much different in few years @hackerrank @codility – at Mississauga, Ontario

LLMOps Essentials User impact → TTFT, p99 latency Load → RPS, tokens/sec Backpressure → waiting vs running Memory → KV cache usage Errors → 4xx / 5xx / aborts GPU health → util, VRAM, throttling #LLMOps – at Mississauga, Ontario

Want to kickstart your tech career in DevOps or AI like Marvin? Check out our Launchpad program! becloudready.com/for-devops-… @becloudready

As the AI leaderboard keeps shifting with Google Gemini now taking the spotlight one thing remains constant: the value of small language models and RAG is stronger than ever, especially for small businesses, healthcare practitioners, and researchers. If you're a developer, researcher, or startup looking to cut through the AI hype and see real, practical use cases, join us for our upcoming Demo Night. We've already crossed 100+ RSVPs, and seats are limited — reserve your spot now! - luma.com/kh8za3i4 – at Mississauga, Ontario

Healthcare remains one of the most underrated sectors when it comes to AI adoption—and it stands to benefit the most. From patient care and drug discovery to simply making life easier for healthcare professionals and researchers, AI has tremendous potential. And often, you don’t even need fancy LLMs or expensive hardware to make an impact. Join our next TorontoAI Demo Night, where we’ll tackle these challenges head-on. One of the demos will showcase how we can use Falcons.AI with the mission of AI for Good, leveraging their lightweight Sentiment Analytics model from Hugging Face to measure fear in content—whether it’s a simple news article or a YouTube video. This prototype may look simple, but it could become a powerful tool for medical researchers. By combining this base model with vital monitoring data (heart rate, blood pressure), they could explore whether fear-inducing content has measurable health impacts, especially for vulnerable individuals and seniors. @mikestattelman @FALCONS_AI @TorontoAIMeetup @becloudready @ShyftLabs_io – at Mississauga, Ontario

Surprisingly I was unaware about one of most powerful features of @NotionHQ that you could SEO index them to showcase your past projects and case studies #consulting #TechInnovation accurate-hiss-631.notion.sit…

Deploy your own Vibe Coding IDE with @allhands_ai on @denvrdataworks to quickly and dramatically boost your productivity. #vibecoding #copilot #developer denvrdata.com/post/deploy-a-…

Top 5 challenges faced by Recruiters when it comes to Hiring for AI 1. Ambiguous Requirements 2. Information leak 3. Looking for Unicorns 4. Evolving AI Tech stack 5. Lack of Training #recruitment #recruiter #GenAI

I have been using @shadeformai as reference to check price for GPUs across the globe. Often I use them to test different types of GPUs to test or benchmark opensource models from Huggingface. I love their intuitive UI