jaynamburi

5 ms·

1.
GPU at $2.25/HR or $12.29/HR: The Infrastructure Layer That Determines Price
2 points by jaynamburi 5mo ago|0 comments
2.
Modular DC construction at $4.5-6.5M/MW vs. $11.3M/MW traditional
1 points by jaynamburi 5mo ago|0 comments
3.
1% Vacancy, 81% Preleased: Where Midmarket Compute Deploys in 2026
1 points by jaynamburi 6mo ago|0 comments
4.
Power Density at 50 KW/Rack: What It Costs and What It Breaks(syaala.com)
1 points by jaynamburi 6mo ago|0 comments
5.
GPU Rack Power Density, 2015–2025(syaala.com)
11 points by jaynamburi 7mo ago|4 comments
6.
by jaynamburi 7mo ago
The AI revolution has created a thermal management crisis. GPU power densities have increased dramatically, and the physics are clear: above 50-100kW per rack, air cooling fails. 1,000W Per Blackwell Chip 132kW Current Rack Density 240kW Ex
7.
Colocation Evaluation Framework for AI Infrastructure (2026)(syaala.com)
1 points by jaynamburi 8mo ago|0 comments
8.
by jaynamburi 8mo ago
Interesting work floor plans are a great real world testbed for data centric AI because the bottleneck is almost always annotation quality, not model architecture. We’ve seen similar patterns in document layout and indoor mapping projects:
9.
by jaynamburi 8mo ago
Consistency in AI generated apps usually comes down to treating prompts + outputs like real software artifacts. What’s worked for us: versioned system prompts, strict schemas (JSON + validators), golden test cases, and regression evals on e
10.
by jaynamburi 8mo ago
Nice work interactive tutorials are one of the best ways to actually understand Docker instead of just reading syntax. What stands out is how you show the full container lifecycle with live, runnable examples: building images, running conta
11.
by jaynamburi 8mo ago
The Georgia proposal to pause new datacenters is a sign that infrastructure scaling is finally colliding with real-world constraints. These facilities aren’t just server racks they’re multi-GW industrial power consumers and massive water lo
12.
by jaynamburi 8mo ago
The Meta–Corning $6B fiber deal highlights a real constraint in AI infrastructure that often gets less attention than GPUs: optical fiber availability, long lead times for high-count fiber, and the physical reality of interconnect density.
13.
by jaynamburi 8mo ago
Docker started as a simple, opinionated UX around Linux containers and became a product company wrapping an ecosystem that moved on without it. The original breakthrough wasn’t containers themselves (LXC already existed), but the combinatio
14.
by jaynamburi 8mo ago
Desktop Kubernetes tooling like this is an interesting counterpoint to the “everything is CLI” philosophy. For teams managing multiple clusters and contexts, a well designed desktop app can surface state, resource relationships, and misconf
15.
by jaynamburi 8mo ago
This is an interesting direction for “open” tooling. Combining containerization (Docker) with reproducible environments (Nix) addresses two of the biggest pain points in developer workflows: environment drift and opaque build/runtime a
16.
by jaynamburi 8mo ago
We went through a similar arc. Kubernetes gave us a lot of theoretical upside, but for a small team with predictable workloads it mostly translated into operational drag: YAML sprawl, slow feedback loops, and time spent maintaining the plat
17.
by jaynamburi 8mo ago
Microsoft has publicly confirmed it’s the company behind the controversial data center proposal in Lowell Charter Township, Michigan a project tied to roughly $500M–$1B in investment on a 237-acre site near Interstate-96. Locals have pushed
18.
by jaynamburi 8mo ago
Meta launching its own AI infrastructure is a logical move at their scale—control over compute, networking, and software stacks can significantly improve cost efficiency and model iteration speed. It also signals a shift away from reliance
19.
by jaynamburi 8mo ago
A native desktop UI for Kubernetes is an interesting angle, especially as clusters get more complex and distributed. Most existing tools lean heavily on CLIs, browser based dashboards, or cloud specific consoles, which can make cross cluste
20.
by jaynamburi 8mo ago
A $480M “seed” at a $4.5B valuation is extraordinary by any historical standard. It would be interesting to understand what’s being labeled as “seed” here whether this is effectively a late stage round with a seed label, or if there’s somet
21.
by jaynamburi 8mo ago
The concentration of new data center capacity in the U.S. makes sense when you look at the inputs: access to capital, hyperscaler demand, relatively predictable regulation, and deep energy and fiber infrastructure. Regions like Northern Vir
22.
by jaynamburi 8mo ago
Defending critical infrastructure with AI is one of those areas where the upside and the risk are both very real. On the positive side, ML is well suited for anomaly detection in environments like ICS/SCADA, where “normal” behavior is