Last week Axe Compute rang the @NasdaqExchange Opening Bell in Times Square.
A milestone for the team, and a marker on the way to something bigger. The building is just beginning, and we’re here to define the next generation of AI infrastructure.
We’re just getting started.
$AGPU #AIInfrastructure
Power. Financing. Execution.
Axe Compute CEO @chrismiglino on what separates AI infrastructure providers after this week’s election results, via @briefsfinance: tighter state rules on new builds in some places, no national pause, and customers moving toward operators who can deliver.
$AGPU
Axe Compute (NASDAQ: $AGPU) CEO Chris Miglino was quoted in @CNBC on the evolving AI infrastructure landscape.
“If you’ve already secured power, have the financing in place and understand how to deploy and operate compute infrastructure efficiently...”
Axe Compute is at @SiGMAworld_ 2026 in Rome.
We’re meeting with technology leaders, investors, and innovators to discuss the infrastructure required to support the next generation of AI workloads.
Attending SiGMA? Connect with the Axe Compute team.
$AGPU #AIInfrastructure #SiGMAWorld
Axe Compute’s move to Miami is making headlines.
The @MiamiHerald covers $AGPU’s new global headquarters, local hiring and the Company’s growing presence in Miami’s international business and technology ecosystem.
Read the coverage:
https://t.co/FY9Cb3ttqj
#AxeCompute #AIInfrastructure #Miami
Axe Compute (NASDAQ: $AGPU) is making Miami its new global headquarters.
The move strengthens our presence in a major international business and financial hub as we expand our global AI infrastructure operations, partnerships and enterprise relationships.
#AxeCompute #AIInfrastructure
A new @Investingcom analysis breaks down the model behind $AGPU: long-term contracts, owned GPU infrastructure and customer-funded expansion.
It puts the portfolio in context ($3.45B+ in signed contracts, $184M+ in prepayments) and frames the next phase as execution: deployed capacity, recurring revenue and cash flow.
Third-party content; views are the author’s own.
#AxeCompute #AGPU #AIInfrastructure
A factory digital twin runs three GPU workloads at once: rendering, physics, and AI.
All three compete for the same GPU memory. NVIDIA’s engineering-twin blueprint needs 16 GB to show pre-computed results, and two 40 GB GPUs to run the AI physics live.
BMW Group already runs twins of 30+ production sites, cutting collision checks from almost four weeks to three days.
Our new article explains what a twin is for AI builders, and how to size the cluster for the live twin, not the demo.
Full article below.
Demand for Axe Compute Build is surging. Today AGPU announced a multi-year partnership with Penguin Solutions (NASDAQ: PENG) to expand capacity and accelerate delivery to meet it.
Penguin will support multiple sites as we work to bring $3.45B+ in contracted AI infrastructure projects to production globally.
#AIInfrastructure $AGPU $PENG #AIInfrastructure @WeAre_Penguin
A milestone moment for Axe Compute.
Yesterday, $AGPU had the honor of ringing the @NasdaqExchange Opening Bell in Times Square.
A moment to celebrate the progress so far, the people who helped make it possible, and everything still ahead.
Thank you to our team, board, partners, customers and shareholders for being part of the journey.
#AxeCompute #Nasdaq #AIInfrastructure
Today, Axe Compute (NASDAQ: $AGPU ) rings the @Nasdaq Opening Bell from Times Square.
Watch live at 9:30 a.m. ET as we mark an important milestone in Axe Compute’s growth and continued expansion in AI infrastructure.
#AxeCompute#Nasdaq
Vera Rubin or Blackwell? We updated our comparison with NVIDIA’s latest specs.
Where Vera Rubin earns its place:
• Agents that plan across many steps and hold memory for the whole task.
• Long-context serving: coding assistants over a full repository, research agents, document and log analysis at a million tokens.
• Mixture-of-experts at production scale, where expert routing leans on the interconnect.
• High-volume copilots and search, where cost per token decides the margin.
Where Blackwell stays the better buy:
• Training and fine-tuning that cannot wait, on a mature software stack shipping in volume today.
• Dense, short-context inference: chatbots, classification, ranking, recommendation, embeddings, moderation.
• Cost-sensitive inference across fraud detection, medical imaging, industrial vision, and transcoding.
The two run side by side. Axe Compute Build delivers dedicated, single-tenant clusters on Vera Rubin NVL72, GB300 NVL72, and B300, on a 36 or 60 month term with a committed delivery date and a mid-term GPU upgrade path, so capacity can move to Rubin as the workload calls for it.
Full report in the replies.