Everyone talks about tokenizing real estate.
The next major RWA category may be compute infrastructure. GPUs, power, cooling, bandwidth, and uptime are real-world assets with measurable cash flow.
@gpunet transforms idle GPU hardware into productive infrastructure for the AI economy. RWA is physical compute powering real AI workloads.
Explore at https://t.co/JYmpUt1PbP 🚀
This Makes More Sense Than Space Datacenters.
I Love Spacetech but I know Datacenters firsthand. It’s too early for business maturity and was just good enough for IPO buzz.
Retail investors need to know humanity has to perfect Gigawatt scale stuff in remote locations then go for megawatt scales in Space.
Pretty obvious to anyone in Deeptech.
AI Supply chain is a 1.5 Trillion Compute Ecosystem:
AI infrastructure spending is on track to cross $1 trillion before the end of this decade. The question is not whether the market will be huge. It is who will own which part of the layers that support it:
🔸Applications
🔸Models
🔸Datacenters
🔸GPUs
🔸Energy
GPUNET, has been an aggregator of datacenters primarily. Started in 2022, we added a layer of models also where you can directly rent the models and pay per token basis instead of renting the GPUs and then loading the models.
You can rent models on gpu dot net /models and rent gpus on gpu dot net/dapp 🧡
We are actively moving towards deploying our first datacenter, where we buy the chips and deploy them in some of the largest colocation facilities in India, UAE and SEA.
Starting with 300Kw in this quarter, GPUNET is expanding its colocation portfolio by adding 45MW in capacity by 2027. This is not just about adding servers.
Energy industry which is currently the slowest at adapting and literally running out of grid power in USA, forms the basis of our industry. This industry sees mature power purchase agreements starting from 10yr upto 25years. Debt and Financing models follow large capex investments.
GPU Capex uptill now has occupied over 85% of the overall and we predict will see massive Arbitrage Opportunities in the upcoming two years. Different GPU architectures will be more cost effective to run different type of models.
If you are planning your compute budget for 2027, let's talk. By leveraging the right combination of models + GPUs + geographic regions, we can reduce your costs by 50%.
Bridge Update ‼️
Bridge transaction processing is now underway.
If you have a pending bridge transaction, please allow up to 24 to 48 hours for it to be completed as we safely process the backlog.
Thank you for your patience and continued support 🧡
Update from the @gpunet team:
🔸 Website services are being restored.
🔸 All critical systems have been secured.
🔸 The bridge remains temporarily unavailable while final checks are completed.
🔸 Pending bridge transactions will be processed within the next 24 to 48 hours.
🔸 We are conducting a full review and strengthening additional security controls before restoring bridge operations.
Thank you for your patience. We’ll continue to share verified updates as we make progress.
GM! Deal #001 is now 70% filled.
Reserve your allocation and target an estimated 20% APR:
https://t.co/08H5CVwPKk
Have questions? Join us for a live AMA on July 8 at 9 AM EST or 6.30 PM IST
Link: https://t.co/PZnvhyuvEm
Deal #001 is now live.
🔸$1,000 minimum
🔸20% APR
🔸Paid in USDC at the end of term
🔸Target term under 12 months
Link: https://t.co/GlUrlEld9u
Due to strong early demand, we've increased the Batch 1 target to $125,000.
Deal #001 opens Wednesday, July 1.
🔸Minimum allocation: $1,000 🔸 Target return: ~20% APR 🔸 Paid in USDT at the end of the term 🔸 Target duration: under 12 months
AI infrastructure should produce cash flow, not only headlines.
If you're new here: @gpunet buys real AI servers, the physical hardware, not tokens, not compute rental.
We deploy and resell that hardware. The resale margin is the return.
More details soon on Deal #001
If you're new here: @gpunet buys real AI servers, the physical hardware, not tokens, not compute rental.
We deploy and resell that hardware. The resale margin is the return.
More details soon on Deal #001
Why is Tenstorrent a third of the price?
Nvidia's hardware locks you into their software, their networking gear, and water cooling systems. All of that costs money on top of the chip itself.
Tenstorrent skips all three. Open software, regular networking cables, air cooling.
Competitive AI performance, way less to build around it.
Deal #001 runs on that math.
Stay Tuned 👀