AxeCompute

Welcome to the new era of GPU compute—global, scalable, cost-efficient, and built for real enterprise choice.
NASDAQ: AGPU

[AxeCompute @AxeCompute]

$AGPU just closed a $260M enterprise contract — 2,304 NVIDIA B300 GPUs, dedicated, U.S.-based, deploying Q3 2026.

Enterprise AI buyers are done waiting. They want dedicated infrastructure, their hardware, their location, their terms.

That is exactly what Axe Compute delivers.

$AGPU #AI #neocloud #EnterpriseAI

https://t.co/pMmFxGN3gN

[AxeCompute @AxeCompute]

When egress is free, you can design infrastructure around performance and resilience.

When it is not, teams quietly constrain their architecture to avoid the next invoice: fewer regions, less replication, more risk.

That trade-off is avoidable with our zero-egress model.

Read more here: https://t.co/YJp8d8taFq

[AxeCompute @AxeCompute]

Axe CEO Christopher Miglino just took the stage at @proofoftalk with a global breakdown of GPU infrastructure.

He spoke about who owns the compute, where the bottlenecks are, and what is coming next.

The Axe Compute team is here on the ground for the rest of the day. Come find us.

[AxeCompute @AxeCompute]

Who actually owns the world's GPU fleet? Where is capacity scarce, where is it sitting idle, and how is AI infrastructure really being built right now?

Hear from our CEO Christopher Miglino @chrismiglino, when he takes the stage at @ProofOfTalk!

[AxeCompute @AxeCompute]

Cloud GPU or bare metal GPU?

The answer comes down to 4 variables:

1. Workload duration (72-hour training threshold)
2. GPU utilization rate (55-65% crossover point)
3. Data residency requirements
4. MLOps team maturity

Read more: https://t.co/MRHUJcK6X9
$AGPU #AI

[AxeCompute @AxeCompute]

Training and inference are two different jobs.

We see enterprise teams running both on the same cluster every week.

That gets expensive fast.

In this article we break down what each job actually demands and where the cost of the wrong mix shows up.

https://t.co/lvU4wMIT6c

[AxeCompute @AxeCompute]

AI inference costs at scale grows fast from proof-of-concept to production.

Three variables drive this growth: request volume, context length, and concurrent sessions. Most teams model one. All three compound.

Hyperscaler H100 rates: $6.88 to $12.29 per hour, before egress adds another 20% to 40%. Bare-metal: $2.00 to $3.50 fixed.

The window to make the right infrastructure decision is before scaling, learn more about this here:

https://t.co/FVoJ9SbmlQ

[AxeCompute @AxeCompute]

Axe Compute (NASDAQ: $AGPU) has received $43M in prepayment against its $260M enterprise GPU contract.

This is the first contracted cash milestone under the agreement and confirms the build is underway and on track for Q3 2026 deployment.

CEO Christopher Miglino - We are committed to continued execution and delivering on schedule, and proving that Axe Compute’s build program does what we said it would do. There are many other prospects for large-scale deployments and we are doing our job to get them launched -

Full release: https://t.co/ff8AadaIlP

[AxeCompute @AxeCompute]

Axe Compute's CEO, Christopher Miglino, will be speaking at Proof of Talk - happening June 2 & 3 at the Louvre Palace.

His presentation: "The Compute Capital Stack: A View of AI's Global Infrastructure Buildout."

If you're attending Proof of Talk, come find us. If not, stay tuned for updates before, during, and after the event.

#AxeCompute #AI #GPUCompute #ProofOfTalk #AIInfrastructure #AGPU

[Proof of Talk @proofoftalk]

25+ years in tech and fintech. CEO and co-founder of a NASDAQ-listed data company. Now leading a $260 million push into decentralized GPU compute and AI infrastructure.

Christopher Miglino @chrismiglino, CEO of @AxeCompute (NASDAQ: AGPU), takes the Proof of Talk stage this June.

Christopher co-founded and ran SRAX, a NASDAQ-listed fintech and data company, then co-founded DNA Holdings Venture, a blockchain and Web3 firm.

He was appointed CEO of Axe Compute in February 2026 to scale the company's decentralized GPU compute and AI infrastructure business, and quickly followed with a $260 million Nvidia deal.

Passes are moving.
https://t.co/q3BI14qsUI

[Proof of Talk @proofoftalk]

25+ years in tech and fintech. CEO and co-founder of a NASDAQ-listed data company. Now leading a $260 million push into decentralized GPU compute and AI infrastructure.

Christopher Miglino @chrismiglino, CEO of @AxeCompute (NASDAQ: AGPU), takes the Proof of Talk stage this June.

Christopher co-founded and ran SRAX, a NASDAQ-listed fintech and data company, then co-founded DNA Holdings Venture, a blockchain and Web3 firm.

He was appointed CEO of Axe Compute in February 2026 to scale the company's decentralized GPU compute and AI infrastructure business, and quickly followed with a $260 million Nvidia deal.

Passes are moving.
https://t.co/q3BI14qsUI

[AxeCompute @AxeCompute]

Training, inference, and burst workloads need different hardware. Running all three on one cluster means paying training prices for jobs that do not need them.

Axe lets teams match workload to hardware across 200+ locations, without locking into a single cluster or a single price.

Full strategy breakdown: https://t.co/RYedq5P5W0

[AxeCompute @AxeCompute]

Half of planned US AI data center builds in 2026 are delayed or canceled.

Grid interconnection queues: 4 to 7 years in major hubs.
Power is no longer a background risk for AI infrastructure teams.

The fix is distributing the load across hundreds of smaller sites that do not trigger large-load thresholds or sit in a 2,600 GW queue.

Full analysis: https://t.co/h1uMbfoGd6

[AxeCompute @AxeCompute]

Starting in 1 hour, $AGPU Q1 2026 earnings call.
8:30am ET | 1:30pm GMT | 2:30pm CET | 9:30pm SGT

Join us here:
https://t.co/6CKmKqnZ33

#AIInfrastructure #Neocloud #Earnings #AGPU

[AxeCompute @AxeCompute]

Axe Compute (NASDAQ: AGPU) is hosting its Q1 2026 financial results call on May 18 at 8:30 a.m. ET. Register, join the webcast or dial in to hear updates on our neocloud AI infrastructure platform. More details here:

https://t.co/CeUnUtoxxh

#AIInfrastructure #Neocloud #Earnings #AGPU

[AxeCompute @AxeCompute]

Axe Compute (NASDAQ: $AGPU) announced Q1 2026 financial results and a business update today.

Read the full release: https://t.co/KBokPg4L8m

[AxeCompute @AxeCompute]

Big Tech will spend $725 billion on AI capex in 2026.
McKinsey says the world needs $6.7 trillion in data center investment by 2030 and TSMC is reporting 50% annual growth in AI chip demand.

Everyone is chasing the same constrained supply.

Axe Compute runs 435,000+ GPUs across 93 countries today. Provisioned in 48 hours, at up to 80% below hyperscaler rates.

The capacity exists. The question is who you reserved it with.

Full market analysis: https://t.co/NLGybvNryq

[AxeCompute @AxeCompute]

Axe Compute (NASDAQ: AGPU) is hosting its Q1 2026 financial results call on May 18 at 8:30 a.m. ET. Register, join the webcast or dial in to hear updates on our neocloud AI infrastructure platform. More details here:

https://t.co/CeUnUtoxxh

#AIInfrastructure #Neocloud #Earnings #AGPU

[AxeCompute @AxeCompute]

Kevin O'Leary's take from the D. Boral Capital Conference:

AI won’t be shaped only at the model layer. It will also be shaped by infrastructure.

Power, data centers, fiber, land, and permitting are becoming some of the key constraints.

That is where a lot of long-term value may be created.

#AxeCompute #AIInfrastructure #Compute #DataCenters #AI

[AxeCompute @AxeCompute]

AGPU CEO @chrismiglino and legendary options trader @jonnajarian together at Nasdaq, celebrating innovation and the future of AI-powered infrastructure.

From Wall Street expertise to next-generation global AI infrastructure leadership, this connection represents the convergence of capital markets, technology, and AI at scale.

Great companies are built on strong relationships, shared vision, and the ability to see what’s coming next. Chris and Jon have built exactly that as friends, collaborators, and believers in the future of AGPU.

The momentum is just getting started.

#AGPU #AxeCompute #Nasdaq #AI #GPU #ArtificialIntelligence #WallStreet #TechInnovation #OptionsTrading #CapitalMarkets

[AxeCompute @AxeCompute]

What does $37.5M in compute reserves actually mean?
On the Axe dashboard:
• ~1,278 NVIDIA B300 GPUs/year
• ~2,314 H200 GPUs/year
• ~2,594 H100 GPUs/year

That’s real infrastructure power.

Track it live 👇
https://t.co/O7OR1HDd3p

#AI #GPU #NVIDIA #DataCenters #CloudComputing #AIInfrastructure #TechInvesting #Semiconductors #AGPU #H100