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GPU “price cuts” from AWS aren’t a breakthrough, they’re a well-established trend set to continue. On-demand H100s dropped from $12–15/hr per GPU to ~$10/hr, but most builders already rent equivalent GPUs for $2/hr and H200s for $3.50/hr via neoclouds. Why and how? →

We’re excited to collaborate with Node AI | $GPU to explore the integration between decentralized GPU infrastructure and high-performance AI inference. Here’s what we are exploring together: ⚡️Comput3’s inference API layer running on top of NodeAI’s GPU network 🔁NodeAI powering

Comput3 AI 🌋 is what happens when cloud infra stops LARPing and goes on-chain. real GPUs, real AI workloads, real tokens. $COM fuels the machines. launched via auto.fun, lives inside elizaOS

Good AI🌋 Working on some larger GPU customers in the background. Updates soon. 1) Expanded our GPU supplier network through NodeAI for spillover demand. 2) Currently Access to a lot of ultra-cheap H200's through different sources including Hearst, and Clouds. 3) Expanding

Dont overthink. Stake $COM for free comput3. $COM has intrinsic, measurable, rl value.

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🛞Staking Flywheel in Motion. 🌋Just onboarded 1 new big partner. Comparison: $VVV Venice staking gives you access to multi-model LLM text-Inference. $COM staking is access to Multi-Model, 1000 Hours of Image & Vid Rendering (high-gpu intensity), Custom Model Support

🌋Excited about extending our partnership with Aya Aya Aya staked $58,000 in $COM & $SOL, securing highly-performant dedicated GPU resources (for model training & fine-tuning) & unlimited API access to our Models, Image & Vid Gen. Through staking Aya will receive the

Decentralized AI training faces three critical hurdles: 1) technical feasibility 2) achieving trustless and private handling of data and model weights 3) scaling networks to compete with centralized solutions Comput3 solves for #3 with ultra cheap and scalable GPU access.

render? overpriced. akash? underutilized. Comput3 AI 🌋 running inference today. from A100s to 4090s, the network is optimized for AI tasks. no buzzword stacking. elizaOS agents run on it. solana speed. real revenue.

Thrilled to deepen our collaboration and scale up our compute stack with @Comput3AI 🤝🏽 By staking into their ecosystem, we’ve unlocked Premium Tier: 🔹 1,000 GPU hours of dedicated, high-performance infrastructure for training & fine-tuning 🔹 Unlimited access to Hermes3,

🌋Comput3 demand will continue to increase. Comput3 sources H200's for 40% below current market price through our proprietary sourcing algo. The Comput3 platform is a layer that allows you to access the raw GPU power below through an api key. The GPU is currently used for

craft engine, the open framework for building dynamic, AI-native game worlds, is partnering with Comput3, the decentralized GPU platform powering next-gen compute. Together, we're exploring what’s possible when scalable inference meets interactive gameplay: from rich game

what’s next for Comput3 AI 🌋: - GPU onboarding UX revamp - GPU reward scaling - agent-level compute analytics - deeper Phala TEE integration $COM utility expanding fast. agents need fuel

Guess what we're doing with our H200s?

The answer is yes. Check out this thread 👇

infra that’s live agents that multiply your creativity join for a real-time project updates space on X today 16:00 UTC hosted by auto.fun Comput3 AI 🌋 and Tapestry AI

icymi: Comput3 AI 🌋 = core infra for elizaOS agents. hosting AI workloads. routing GPU power. reducing cloud friction. launched via auto.fun, backed by real users, real usage, and a market cap that’s still criminally low.

Spaces with auto.fun Talking AI, GPU's and where Comput3 is heading. x.com/i/spaces/1rmGP…