Sharon AI Announces Closing of Private Offering of Convertible Senior Notes With Aggregate Gross Proceeds of US$350 Million
Read the full announcement:
🔗https://t.co/6rdnbeBBVi
$SHAZ
We are excited to share that @sharon__ai will be presenting at CG Rapid Insights in Sydney this Thursday.
@CG_Driven Insights brings growth companies and the investor community into one room for direct, focused conversations.
We look forward to sharing more on Sharon AI’s work across AI infrastructure, sovereign compute and the growing demand behind enterprise AI workloads.
$SHAZ
Sharon AI to Participate in Upcoming Macquarie Australia and Canaccord Rapid Insights Conferences
Read the full announcement:
🔗 https://t.co/Avj3jdnDCO
$SHAZ
A few highlights from the #CanvaCreate 2026 keynote
@canva is rolling out a broader suite of agentic tools as the platform quietly becomes one of the most widely used AI services in everyday content work.
Research, creation, brand control, scheduling and delivery are being pulled closer together, with less separation between steps and less back and forth across tools.
The drag is still in the workflow. Too many tabs. Too many fixes. Too much rework between first draft and finished output.
These 3 things stood out
👉 Conversation is becoming the entry point
👉 Brand control is moving closer to the first draft
👉 More of the workflow is staying together from start to finish
We unpack this shift further in our latest article.
🔗 https://t.co/LPAt2kF4Lw
#CanvaCreate #CanvaAI $SHAZ
⚡️ We heard it at GTC.
@nvidia is making a much bigger play than silicon alone.
It is positioning itself as the company shaping the full AI production stack across compute, networking, inference, software, operations and AI factories.
That shift is also raising the importance of #neoclouds.
They are no longer being treated as niche providers around the edge of the market. #NVIDIA is pulling them closer to the centre as strategic infrastructure partners for enterprise AI, sovereign AI and large-scale production workloads.
Three points stand out:
➡️ Speed on land, power and large-scale buildouts now counts more
➡️ Tighter software integration is becoming part of the cloud offer
➡️ The edge is shifting from GPU access to full-stack AI cloud execution
We unpack this further in our latest article.
🔗 https://t.co/jb4I7iWcEL
$SHAZ $NVDA
#AI is here to stay, and the infrastructure layer behind it is becoming harder to ignore.
Strong segment from VAST Data on the AI cloud market, enterprise AI demand and the systems supporting training, inference and agent workloads.
With around 1,000 customers across major enterprises, AI labs and AI cloud providers, the question is becoming less about whether this market is real and more about who can support it properly at scale.
🔗 https://t.co/XbC6r672z7
$SHAZ #VastData
Sharon AI raises $487m ahead of planned ASX listing
Australia-based Sharon AI has taken advantage of investor demand for access to the booming artificial intelligence infrastructure sector, raising $US350 million ($487 million) as it prepares to pitch its initial public offer to Australian investors this week.
Rather than build its own data centres, Sharon AI hosts its equipment in partners’ facilities, such as NextDC, and rents access to AI chips to businesses like Canva
to power their processing.
Sharon AI chief executive James Manning says the company is on-track for an ASX-listing in June.
Louie Douvis
After debuting on the US exchange in February and
raising $US125 million, the Sydney-based company is targeting a secondary listing on the ASX by mid-June. That could put it in competition with major rival Firmus, which is also targeting a mid-year run at the ASX boards.
Chief executive James Manning said the company was hosting a non-deal roadshow with Australian investors this week, alongside its bankers at Canaccord and Macquarie.
“We’re fairly comfortable about converting some of this capital into customer contracts in the near term. We’ve seen phenomenal demand from customers … and significant data centre capacity coming online.
“Being able to lock into both data centre capacity and compute in the near term puts us in a really strong position to win additional customer contracts,” Manning said.
Overnight, Sharon AI announced that private equity giant Oaktree, which backed its US sharemarket float, had returned to anchor the $US350 million convertible note offering, which will allow the company to buy more AI chips.
The five-year notes have a coupon of 6 per cent paid quarterly and an initial conversion price of approximately $US48.24 – a 20 per cent premium to Sharon AI’s share price.
Shares in Sharon AI last closed at $US42.27, up from its IPO price of $US30 a share.
Earlier this month, the company revealed it had signed a $US1.25 billion, five-year AI cloud infrastructure agreement with Indian cloud and data centre services provider, ESDS Software Solutions.
Under the contract, Sharon AI will deploy an 8200-unit cluster of Nvidia’s B300 chips and 17.8 petabytes of storage at one of its existing data centre locations in Australia, with revenue expected to start flowing in the third quarter of 2026.
In a note to investors initiating coverage of Sharon AI, Cantor Fitzgerald said it expected this contract to contribute more than $US60 million per quarter from next year. Sharon AI’s annual revenue was just $US1.6 million in 2025.
“We believe historical financials are less relevant and are focused on the future for Sharon AI, given the revenue ramp we expect from recently announced AI cloud deals,” Cantor Fitzgerald analyst Brett Knoblauch wrote.
Three US investment banks, Cantor Fitzgerald, Compass Point and Lucid Capital Markets, have initiated coverage of Sharon AI, all estimating it would convert Australian data centre space and early contract wins into more than $130 million of revenue this year.
“We view 2026 as a deployment and initial execution year, with capacity arriving through the year and revenue building behind it,” said analysts from Compass Point, which has forecast Sharon AI shares are headed to $US50.
“We initiate with a buy rating… reflecting our bullish view on neoclouds, confidence in management’s ability to build on early execution and contract wins, and a capacity ramp that should support a significantly larger earnings base.”
Alex Fuhrman of Lucid Capital Markets, who also set a $US50 target price on the stock, arguing that Sharon AI’s agreement to lease 70 megawatts of data centre capacity would allow it to grow faster than rivals that are building new facilities.
“If Sharon AI can lock in long-term agreements to monetise 70 megawatts of capacity at $3.50 per GPU-hour… that would translate to nearly $US1 billion in revenue and $US700 million in adjusted earnings before interest, tax, depreciation and amortisation,” Furham wrote.
The forecasts provide investors with a listed comparison for larger rival Firmus, which is progressing towards its own blockbuster initial public offering this year.
Sharon AI Enters Into Definitive Agreements for US$350 Million Convertible Note Offering to Expand GPU and Network Procurement
🔗 Read the full announcement:
https://t.co/i2UbEgcNNW
$SHAZ
Sharon AI Announces Accelerated Receipt of Remaining Consideration from Sale of 50% Ownership in Texas Critical Data Centers Joint Venture
🔗 Read the full announcement: https://t.co/l63wqbVfrf
$SHAZ
Big congratulations to our partners at @wwt_inc for being named @nvidia 2026 Partner of the Year in three global categories! 🏆🚀
Sharon AI ($SHAZ) is proud to collaborate with such an elite team as we build the future of sovereign, high-performance AI infrastructure in Australia and APAC. 🇦🇺⚡️
Full partnership details: https://t.co/cHlEWFZuj2
#WWT #NVIDIA $SHAZ
In today’s 10-K is the news we have been eager to share. Canva is now a SHARON AI customer 🤝
Read the full coverage:
🔗 https://t.co/9YAyv0nVL8
$SHAZ #Canva
Scaling AI infrastructure is not just a technical challenge. It is a commercial one. Speed to deployment, security from day one and operational consistency across distributed environments are now critical requirements for organisations building AI at scale.
Our COO and Co-Founder Andrew Leece joined @Cisco's session at @NVIDIAGTC to explore exactly this.
As AI environments grow, the pressure is no longer only on performance. It is on getting secure infrastructure into production faster, without adding complexity or compromising consistency across deployments.
That was a clear theme in Cisco’s discussion, particularly around validated architectures, protecting data in motion and scaling workloads with greater consistency.
We unpack this further in our latest article.
Read more:
🔗 https://t.co/0yfgbdLhaP
$SHAZ $CSCO