beCloudReady

Helping startups & SMBs build scalable AI & data platforms with Databricks, Snowflake & modern DevOps.

[beCloudReady @becloudready]

2019-20: 1 of 70 of our training outlines was a workshop.
2026: 29 of 62, and 37 of 62 are about AI.

Teams now want hands-on AI training workshops on their own work, not multi-week courses.

Five waves, Hadoop to AI: https://t.co/k53BihiXAf

[beCloudReady @becloudready]

beCloudReady has been accepted into the Claude Startups program.

We run hands-on AI workshops for data and AI teams, on real infrastructure, not slides.

What we teach today:
- AI Playbook for Data Teams
- AI FinOps
- Snowflake + dbt
- Databricks

[beCloudReady @becloudready]

𝐀𝐈 𝐢𝐬 𝐑𝐞𝐝𝐞𝐟𝐢𝐧𝐢𝐧𝐠 𝐭𝐡𝐞 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐞𝐫 𝐑𝐨𝐥𝐞

https://t.co/3x4eT9SGKE

#vibecoding

[Chandan @kchandanAI]

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

[TorontoAI Meetup @TorontoAI_]

Had great energy and ideas in Startup Pitch Night #Toronto

[Chandan @kchandanAI]

Super Thrilled to have such an amazing Panel speaker!

[Chandan @kchandanAI]

https://t.co/YFsZQAzHBD

[Chandan @kchandanAI]

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_

[Chandan @kchandanAI]

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

[beCloudReady @becloudready]

@dittops92 May I know which model/inference engine you are using?

[beCloudReady @becloudready]

Not all LLM workloads stress infrastructure in the same way.

Input/output token patterns directly influence GPU utilization, KV cache pressure, batching efficiency, and serving cost.

#LLM #inference_labs

[beCloudReady @becloudready]

Checkout our Blog series on vLLM Inference and LLM Benchmarking using GenAI-Perf by @kchandanAI

https://t.co/3qPbzHnAi7

If you are start and looking to collaborate for DevRel projects or anyone just curious about LLMOps, please DM

[Chandan @kchandanAI]

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

[Chandan @kchandanAI]

Want to kickstart your tech career in DevOps or AI like Marvin? Check out our Launchpad program!

https://t.co/q5sQCbZCbM

@becloudready

[Chandan @kchandanAI]

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! -
https://t.co/PIRNpaMfMA

[Chandan @kchandanAI]

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 https://t.co/due4ghF9wo 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

[TorontoAI Meetup @TorontoAI_]

Packed house at our #TorontoAI Summit Huge energy, great talks on AI Security + Multi-Agent Systems, and amazing community vibes at @ShyftLabs 🙌

We’re open for collabs → Demos, Hackathons, Talks, Webinars (all free + food 🍕). DM us! @ShyftLabs_io @becloudready

#Toronto

[TorontoAI Meetup @TorontoAI_]

TorontoAI invites you to an evening of cutting-edge AI insights, live demos, and networking with expert speakers who are shaping the future of artificial intelligence.

👉 Please note: we will only consider registrations made through Luma: https://t.co/EStJIXCIDd

[TorontoAI Meetup @TorontoAI_]

Ready to future-proof your career? Join AI consultant Anna Romanovska for a free webinar on boosting productivity by up to 30% with AI prompting & smart automation.

📅 Aug 27 | 5:30–7:30 PM | Online

Reserve your spot 👉 https://t.co/CraNRxn8Ri

[beCloudReady @becloudready]

Want to land a DevOps job in just 60 days?

Start learning the fundamentals, build real projects, and get interview‑ready — without spending a dime.

DM Launchpad to join. Link: https://t.co/uoej17Iy9X

#TrendingNow #DevOpsSolutions #fypシ