Marc Suidan

[Marc Suidan @MarcoSuid]

AI agents crave a rock-solid, reliable spot for their creations.

Enter the open-source Backblaze B2 MCP Server. It offers AI agents a secure, standardized path to cloud object storage. Leveraging standard B2 application keys, it ensures least privilege access. Plus, it directs hefty file transfers straight to storage, keeping your model running smoothly.

Check out the 1-click install for Claude Desktop and dive into all the launch details here: https://t.co/OdGIthHe7d https://t.co/KXAzJV4g1j

[Marc Suidan @MarcoSuid]

Four Platforms, One Timeline: Bringing TAMS Workflow to Life on Backblaze B2 https://t.co/UAYQGWllpU

[Marc Suidan @MarcoSuid]

Is your costly #GPU fleet just cooling its heels?

At NVIDIA's GTC, Adobe lit up the room with a revelation: in their initial generative #AI training phases, about two-thirds of GPU time was wasted waiting for data. That's like tossing 60 cents of every dollar spent on compute. 🤯

The villain of the piece? A jammed #DataPipeline.

Conventional storage and networking aren't cut out for the relentless, petabyte-scale parallel data movement needed for training cutting-edge models. If your storage lags, even the slickest data loader won't stop your compute from twiddling its thumbs.

Don't let storage bottlenecks drain your compute dollars. Discover how to keep your clusters bustling: https://t.co/dOJPMsxsyM https://t.co/eaSVAU6D0B

[Marc Suidan @MarcoSuid]

Thrilled to see the magic the data science and tech communities create with our open-source Drive Stats data! 📊

Economists just released a peer-reviewed study via IEEE, diving into 12 years of our public data, spanning over 443,000 hard drives and 1.66 million drive-years.

The study went beyond simple manufacturer rankings, uncovering some intriguing insights:
🌡️ Temperature impact: A 1°C rise in average drive temp increased failure rates by 2.1%.
📈 Capacity advantage: Larger drives had lower failure rates, thanks in part to those newer helium-filled designs.
🏆 Brand champions: HGST and WD led the pack in long-term reliability.

Get the full scoop and analysis here:🔗 https://t.co/v9kPbV5xA4 https://t.co/8fY9Kps2aw

[Marc Suidan @MarcoSuid]

#B2Overdrive won SiliconANGLE's 2025 #TechForward Award in #CloudNetworking less than six months after launch. 🏆

That's because it's an unusual solution in the market: one predictable monthly price, unlimited API calls, unlimited egress to other cloud providers and on-prem, and up to 1Tbps throughput.

https://t.co/OuiYgQmZxZ https://t.co/y0Qm332Sxe

[Marc Suidan @MarcoSuid]

Curious about which drives come out on top in the #DataCenter showdown? ⚡ Blocks & Files has just dissected our latest Drive Stats report, shedding light on the actual #HardDrive failure rates from different manufacturers. Check out the data and discover whose drives dominate the racks! 📊
https://t.co/yYSQmjBwQY https://t.co/LzWzkOUiSF

[Marc Suidan @MarcoSuid]

Most enterprise data, around 90%, is unstructured, posing a challenge for GenAI. It can't tap into this data effectively without improved storage solutions. https://t.co/2YcthGOSge

[Marc Suidan @MarcoSuid]

AI Data Pipeline Essentials: Capture and Store 📊
Kick off your AI projects right. Discover key strategies for data pipelines that boost model accuracy and dependability. https://t.co/W3Ralo55nG

[Marc Suidan @MarcoSuid]

Cloud Vendors Make It Easy to Get In. They’re Counting on It Being Hard to Leave. https://t.co/QCxw14s9EZ

[Marc Suidan @MarcoSuid]

You can balance flash optimization with open, retrievable data architecture. Our upcoming webinar in our latest #AICampfire series breaks down the exact architecture you need to scale.  

Stop fighting infrastructure costs. Build a pipeline that scales without surprise bills.

🎙️ Maddie Presland + Kevin Lott
📅 July 23, 1:00 PM ET  

Secure your spot 🔥➡️ https://t.co/NQ2aTp8D5J https://t.co/UuxRNWflf0

[Marc Suidan @MarcoSuid]

Solid hardware performance is key to keeping enterprise TCO in check. That's why we’re all about drive performance and reliability in our quarterly #DriveStats report.

Check out the latest insights from our Q1 2026 Drive Stats, and see what surprising behavior made us dig even deeper into the data.

Catch the full report here 🔥➡️ https://t.co/pgBhqzghHf https://t.co/qqvG8ROFnN

[Marc Suidan @MarcoSuid]

The future of AI isn't just about picking the right model, it's about the teams who can smartly build, manage, and expand their own multimodal datasets. 🚀

Discover how top AI teams:
  • Establish robust data foundations for AI
  • Strategize storage costs to avoid growth bottlenecks
  • Approach every AI choice as a data infrastructure move

Check out Navigating Multimodal Dataset Economics. https://t.co/sRsrSQIu3l

[Marc Suidan @MarcoSuid]

AI now handles 73% of expert-level cyberattacks. Here's what IT leaders should do. https://t.co/ypQgsFF4PC

[Marc Suidan @MarcoSuid]

Welcome to the Backblaze Generative Media Hackathon.

We aren't looking for basic UI wrappers. We want to see how you engineer reactive, multi-provider pipelines that stream progress as events, handle provider backpressure, track cryptographic asset provenance, and failover seamlessly.

The Stack:

💠Backblaze B2: Durable object storage for assets, metadata, and event-driven automation.

💠Genblaze SDK: Our open-source Python SDK for unified multi-provider orchestration.

💠GMI Cloud: High-throughput open-source AI inference platform.

The Stakes:

💰 $7,000 Grand Prize ($10,000 total cash pool)

⚡ Free GMI Cloud credits for the first 270 eligible participants

📅 Submission Deadline: August 3, 2026

What is your most ambitious multi-provider pipeline idea? Video-to-audio-to-upscale loops? Agentic media evaluation chains? Drop your pipeline architecture concept in the comments below. Let’s see who has the engineering figured out. 👇

Register on Devpost to claim your credits and start building: 🔥➡️ https://t.co/On5V1tjqzO https://t.co/o5V0RtPTDl

[Marc Suidan @MarcoSuid]

Paris is buzzing with the AI crowd. 🚀

Working on foundation models, AI infrastructure, or cutting-edge AI apps? Let’s chat!

Catch up with Backblaze about storage solutions tailored for AI workloads, offering predictable costs, high throughput, and S3 compatibility.

Don’t miss Gleb Budman on the sovereign cloud panel, or book a meeting with our team at RAISE. https://t.co/vf3BPO635e

[Marc Suidan @MarcoSuid]

How much GPU time is being wasted waiting on data? Slow storage can quietly drain performance and increase costs. Fix the bottleneck without a full re-architecture. https://t.co/AS27cGNzga

[Marc Suidan @MarcoSuid]

Backblaze announces a five-year deal with CoreWeave for multi-exabyte data storage 📦💾. We are excited to partner with CoreWeave! https://t.co/8h8BcTBtvQ

[Marc Suidan @MarcoSuid]

Hardwiring a single AI provider into a synchronous loop might work for a quick hackathon demo, but in the real world, that setup will crumble in weeks. Enter Genblaze—our open-source Python SDK that ditches the fragile glue code for a sleek orchestration layer. It offers a unified API, model swaps, asset provenance, and storage integration.

Are you crafting event-driven pipelines or still tangled in blocking loops? Let’s dive into architecture discussions in the comments. 👇

Check out the launch breakdown: 🔥➡️ https://t.co/RRitJOio28 https://t.co/qkGkivuQTn

[Marc Suidan @MarcoSuid]

Gartner's forecast: 60% of AI projects will be ditched due to lack of AI-ready data. That's a costly landscape littered with wasted hours and budgets blown.

The real issue isn't picking the right model. It's when unstructured data like customer calls, support transcripts, and video logs get stuck in silos. Data without management isn't an asset—it's a liability.

Dive into our latest guide, "Navigating Multimodal Dataset Economics." It helps align your data pipeline with smart financial models, avoiding bottlenecks and understanding the true cost across your infrastructure's lifecycle.

Grab the full roadmap handbook. ����➡️ https://t.co/BLYyw5kCvo https://t.co/kvNcqY8Cfn

[Marc Suidan @MarcoSuid]

AI cloud customers are after more than just GPUs. They want results: speedier training, consistent scaling, reliable performance, and quicker journeys from trial to production.

This is why storage is now the heart of performance infrastructure.

Backblaze B2 Neo offers AI cloud platforms a high-throughput, customizable object storage backbone. It's crafted to power downstream performance tiers, support private connections, and provide a branded storage experience.

While compute often grabs the spotlight, it's the data movement that decides if it shines.

https://t.co/JGSHzEa1lv https://t.co/DzporEROQ4