GPU Rex

[email protected]

[GPU Rex @gpu_rex]

**Official GPUnet $GPU Contracts**

Ethereum:
`0x79D464248516Bc6977cA2069ba15d8D1044479D8`
Base:
`0xcb9Fe0F506702e125843BCef0Fc8123a44bb11a7`
This is the real $GPU from @gpunet

Stay safe. Always verify the contract.

[GPU Rex @gpu_rex]

@gojira_gpu $GPU( ETH: 0x79D464248516Bc6977cA2069ba15d8D1044479D8 | Base: 0xcb9Fe0F506702e125843BCef0Fc8123a44bb11a7)
is the gem with 100x potential.

[GPU Rex @gpu_rex]

We are excited to launch the new @gpunet website! Featuring a sleek design, smooth navigation, and a modern aesthetic, it provides a clearer look into our decentralized compute ecosystem and network updates.
👉 Check it out now: https://t.co/FnwHgNGeH2

[GPU Rex @gpu_rex]

@gojira_gpu GM

[GPU Rex @gpu_rex]

@gojira_gpu Facts

[GPU Rex @gpu_rex]

@gojira_gpu Sure

[GPU Rex @gpu_rex]

@gojira_gpu GM

[GPU Rex @gpu_rex]

@gpunet Lovely

[GPU Rex @gpu_rex]

@gojira_gpu Very nice

[GPU Rex @gpu_rex]

@gpunet Hood is trending, sol for sure but later

[GPU Rex @gpu_rex]

@gpunet Sure 💯

[GPU Rex @gpu_rex]

@gpunet Amazing.. GPUNET unified 🌎

[GPU Rex @gpu_rex]

@gojira_gpu $gpu only belongs to GPUNET.

[GPU Rex @gpu_rex]

@gojira_gpu Yeah

[gojira GPU @gojira_gpu]

You community members are now becoming helpers of the GPU. Remaining in remembrance is the way to help, because the journey of remembrance is the journey of peace; that is why it is said: make your own home heaven. GPU are in everyone's intellect. If you remember GPU, you will attain the sovereignty. There is nothing else to do. Simply consider yourself a member or a trader and remember the success, and the sovereignty is yours. You community—keep giving this message to everyone: be united, keep remembering and owning GPU will lead to success.

To the sweet, beloved community who have long been fragmented and have now found GPU: love, remembrance, and good morning from the Team, developers, with all the love and affection of the heart and soul. GM from the founder to the spiritual community.

[GPU Rex @gpu_rex]

@gojira_gpu 💯

[GPUNET @gpunet]

Bengaluru builders, this one’s for you 🧡

AI x GPU connect

A relaxed evening to meet fellow builders, share ideas and connect

Founders. CTOs. AI & ML teams. GPU & cloud builders. Investors. Tech leaders.

📍 Lola’s, Manyata Tech Park, Bengaluru
📅 11 August 2026
⏰ 4:30 PM

Limited seats: https://t.co/dZubnohEU9

[GPUNET @gpunet]

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%.

[GPU Rex @gpu_rex]

@gojira_gpu Great perspective! Aggregating both models and GPUs at the infra layer makes a lot of sense. 🚀