From concept to deployment, our latest guide shows how to run secure AI agents with NVIDIA #NemoClaw# on Bitdeer AI Cloud🤖. Learn how to launch a fully sandboxed #agent# in minutes, connect to powerful models like NVIDIA-Nemotron-3-Super-120B-A12B, Moonshot AI’s Kimi-K2.5 through Bitdeer AI’s high performance inference endpoints, and apply network policy controls with greater operational visibility. Explore the guide and start deploying your own secure AI agents on Bitdeer AI Cloud today: #AgenticAI# #AIInfrastructure# #AIInference# #neocloud#

AI adoption shouldn’t require rebuilding your data center. AMD Instinct MI350P PCIe GPUs are designed to deliver production AI inference performance in standard air-cooled servers, helping enterprises scale AI with existing infrastructure. Learn more:

UK sovereign AI is becoming reality. Together with Argyll , we’ve launched a sovereign AI inference cloud built on SambaNova’s full-stack AI platform — designed for performance, efficiency, and control without the trade-offs of traditional infrastructure. As AI adoption scales, sovereignty can’t just be a label. It has to be demonstrated through infrastructure ownership, operational control, energy efficiency, and where intelligence is deployed. This deployment delivers: ⚡ High-performance AI inference 🌍 Renewable-powered infrastructure 🔋 ~10kW rack density with air-cooled systems 🏗️ Disaggregated architecture across UK data centers 🧠 SambaNova RDUs for efficient large-scale AI This is what the next generation of AI infrastructure looks like. Read more via DatacenterDynamics ⤵️

FOMO Reward Season 1 is live. AI inference now fuels an onchain reward loop on @base. Rewards are now open for users to earn and claim — through real AI usage. This is not an incentive program for speculators, but real AI users.

Everyone is counting megawatt additions to power AI. The real constraint is millisecond reaction to demand fluctuations. Most storage wasn’t built for that. We tested it. We validated it. Millisecond response. Sustained rapid cycling. No measurable degradation. This is not storage adapted for AI. It’s storage engineered for the realities AI inference creates. Full technical breakdown:

$FLOCK continues the base incentive asset across the economy built around AI models. What's different now is that $FLOCK is driven by AI inference usage from FLock API Platform, triggering organic $FLOCK demand ties to modern AI developments.

The mechanism is simple: FLock API Platform usage → AI inference spend → FOMO's Model Token (MT) demand → stake MT of the model you use → increase reward weight and enjoy inference discounts at the same time → earn more $FLOCK emissions + MT incentives. Rewards are now tied to real model usage, not just staking.

I think $WARD might be one of the most interesting AI x crypto infrastructure plays right now. Most AI inference today runs on blind trust: send prompt → receive output → assume the model actually did the work. But autonomous agents are already trading, managing capital, and making real economic decisions onchain. So the real question becomes: How do you verify the computation actually happened? That’s the thesis behind Warden Halo. It’s basically BitTorrent for AI inference: a peer-to-peer compute marketplace where idle GPUs, Mac Minis, Ollama nodes, and self-hosted agents serve inference across a global mesh. Tasks get distributed across independent operators and verified through SPEX fingerprints instead of centralized trust. The clever part: SPEX uses Bloom-filter fingerprints of model outputs to statistically verify whether computation was honestly performed. Honest runs converge. Fake outputs don’t. Meaning AI computation can be verified in seconds without massive latency overhead. The token design is clean too: Users pay in USDC. Operators earn in USDC. $WARD becomes the value-capture layer through automatic buybacks, staking rewards, and token burns tied directly to network usage. This feels less like an “AI coin” and more like infrastructure for the autonomous agent economy.

.@ZyphraAI’s AMD-first Inference Cloud is built for long-context, agentic AI, powered by AMD Instinct GPUs and optimized software for scalable open model serving. Follow us as AMD ROCm and AMD Instinct help enable the next wave of AI inference. Learn more: