Vaccine Distribution Exposes Gaps in Logistics

 

As the US ramps up its COVID vaccine distribution, major gaps in the supply chain and logistics strategy are becoming clear. Healthcare agencies and public health officials alike are scrambling to get the vaccines to the people who need it most, but so far, the country is falling far short of its vaccination goals.

The federal government aimed to reach 20 million vaccinations by the end of 2020. However, recent numbers have revealed that 22 million doses have been distributed so far and only 6.7 million people have been vaccinated.

Daniel Litwin meets with Justin Beck, the founder of Contakt World, to learn why these challenges are happening in the first place and provide solutions to help public health officials pick up the pace.

The struggle that healthcare officials are dealing with right now comes from two things, according to Beck: “a lack of a federally-coordinated response — meaning standards, procedures, and funding that comes from the federal government — and a historical dearth of resources to public health agencies.”

“The reason we’re in this spot today is because we have historically provided 2-3% of funding that goes to healthcare providers in this country to public health agencies,” he continued. “So when they’re tasked with managing testing, contact tracing, vaccination, and being involved in those things, it’s impossible when they’re already underfunded to perform the basics, and then you throw a pandemic in their lap.”

Follow us on social media for the latest updates in B2B!

Twitter – @MarketScale
Facebook – facebook.com/marketscale
LinkedIn – linkedin.com/company/marketscale

Follow us on social media for the latest updates in B2B!

Image

Latest

AI costs
QumulusAI Brings Fixed Monthly Pricing to Unpredictable AI Costs in Private LLM Deployment
February 18, 2026

Unpredictable AI costs have become a growing concern for organizations running private LLM platforms. Usage-based pricing models can drive significant swings in monthly expenses as adoption increases. Budgeting becomes difficult when infrastructure spending rises with every new user interaction. Mazda Marvasti, CEO of Amberd, says pricing volatility created challenges as his team expanded its…

Read More
GPU infrastructure
Amberd Moves to the Front of the Line With QumulusAI’s GPU Infrastructure
February 18, 2026

Reliable GPU infrastructure determines how quickly AI companies can execute. Teams developing private LLM platforms depend on consistent high-performance compute. Shared cloud environments often create delays when demand exceeds available capacity Mazda Marvasti, CEO of Amberd, says waiting for GPU capacity did not align with his company’s pace. Amberd required guaranteed availability to support…

Read More
private LLM
QumulusAI Secures Priority GPU Infrastructure Amid AWS Capacity Constraints on Private LLM Development
February 18, 2026

Developing a private large language model(LLM) on AWS can expose infrastructure constraints, particularly around GPU access. For smaller companies, securing consistent access to high-performance computing often proves difficult when competing with larger cloud customers. Mazda Marvasti, CEO of Amberd AI,  encountered these challenges while scaling his company’s AI platform. Because Amberd operates its own…

Read More
custom AI chips
Custom AI Chips Signal Segmentation for AI Teams, While NVIDIA Sets the Performance Ceiling for Cutting-Edge AI
February 18, 2026

Microsoft’s introduction of the Maia 200 adds to a growing list of hyperscaler-developed processors, alongside offerings from AWS and Google. These custom AI chips are largely designed to improve inference efficiency and optimize internal cost structures, though some platforms also support large-scale training. Google’s offering is currently the most mature, with a longer production…

Read More