
Sam Heutmaker
Founder & CEO 於 Inference
Sam Heutmaker 目前是 Inference 的創辦人兼執行長。
新聞提及
If this happens, the biggest AI trend of the next decade won’t be larger models. It’ll be open models and local/private inference. Then again not sure most people care about privacy to make a conscious choice about which AI products they use. Cloud beat local. Social media beat privacy concerns. M
Local inference not looking so crazy anymore now that companies are revolting over token spend
Local inference not looking so crazy anymore now that companies are revolting over token spend
Allora x @trepa_io Partnering with Trepa, a new prediction primitive on @solana that rewards closeness to the outcome, not direction. 1-minute rounds. What this means: Participants can now use Allora's inference data to sharpen their calls. More to come.
When intelligence is cheap, verification becomes the scarce resource. @FourPillarsFP breaks down how OpenGradient is building the trust layer for AI inference, verifiable calls, on-chain attestation, private inference, and payments in a single execution. Read the full research 👇
NVIDIA announces Nemotron 3 Ultra, an open model built for long-running AI agents that need to plan, reason, and use tools across complex workflows. Up to 5x faster inference and 30% lower cost for agentic tasks.
Did everyone just MISS this? With x402 PAYMENTS now in the ecosystem…. $GITLAWB has became the ONLY platform where AI agents: Store code, push repositories, earn bounties, AND pay for inference. Coinbase is pushing for x402 to become the standard for agent payments. And $GITLAWB is now plugged
Introducing NVIDIA Nemotron 3 Ultra. A frontier smart open model built for long-running agents that need to plan, reason, use tools and keep working across complex coding, research and enterprise workflows. Up to 5x faster inference and up to 30% lower cost for agentic tasks. Learn more: https://
Nemotron 3 Ultra (550B-A55B) is here - our strongest open-weight model and full training recipe to date. Heavy emphasis on real-world inference efficiency for long-context agentic workloads. Everything is open 🤗: base, post-trained, reward checkpoints, NVFP4 quantized versions, training data, an
RT @theo: In order to hit the limit of your $40 Copilot plan, you have to do at least $60 of inference. The previous limit structure was e…
