Day-one open-weights, multiple models resident, big context, multimodal, on owned hardware at a normal power budget — that's the unit of compute a decentralized inference network is built from.
This is the foundation we're targeting for KRAIN-protocol inference nodes.
By the numbers: ~27 tokens/sec, single-stream, fully on-GPU. Sub-second load.
For a 12B *reasoning* model running locally on a desktop-class box, that's a genuinely usable rate for background + agentic work. Not chat-fast, but not meant to be.
Google shipped Gemma 4 today. A few hours later we had the 12B running on an NVIDIA GB10 (Grace-Blackwell, 121GB unified memory). Day-one, fully local, GPU-offloaded.
Honest field notes — real numbers, real caveats. 🧵
Been building toward this a long time. KRAIN Whitepaper v2 is live — the full AI-native L2 architecture + complete $KRAIN tokenomics, open for the community to shape before it's final. Read it and tell us what you think 👇 x.com/i/status/20612…
KRAIN Whitepaper v2 is live: full protocol architecture + complete tokenomics.
But we're not calling it final. We want the community to pull it apart first. 🧵
KRAIN Whitepaper v2 is live: full protocol architecture + complete tokenomics.
But we're not calling it final. We want the community to pull it apart first. 🧵
96GB of VRAM running Mixtral, Qwen2, and DeepSeek locally — finally put GPT-4 performance claims to the test with real token/sec benchmarks that'll shock you.
bedda.tech/blog/2026-05-2…
73% of AI-generated code gets rewritten within 6 months — and the fastest coders are creating the biggest technical debt disasters.
bedda.tech/blog/2026-05-2…
We inherited a 1.8M user platform with 0% test coverage and couldn't afford downtime. Here's how we triaged technical debt without stopping the world.
bedda.tech/blog/2026-05-2…
Are DevOps engineers about to go extinct? Our AI system Oliver has been making production decisions autonomously for 6 months — no human intervention needed.
bedda.tech/blog/2026-05-2…@AnthropicAI
Unpopular opinion: Python 3.15's real game-changers are buried in the performance notes while everyone obsesses over syntax sugar that won't move the needle.
bedda.tech/blog/2026-05-2…@ThePSF
What if a tablet had more VRAM than most data center nodes? — AMD Strix Halo just unlocked 96GB local AI inference through Vulkan after ROCm hit the wall.
bedda.tech/blog/2026-05-2…
Unpopular opinion: EVM gas optimization isn't about clever Solidity tricks—it's about not bankrupting your users when your UI crashes on failed transactions.
bedda.tech/blog/2026-05-1…
Most AI coding tools are 90% bloated ChatGPT wrappers — Zerostack just dropped a pure Rust agent that follows Unix philosophy instead.
bedda.tech/blog/2026-05-1…@rustlang@OpenAI
📝 New Post:
Audit Logging Compliance: Traditional Centralized vs Non-Custodial Blockchain Approaches
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