Mithril (formerly Foundry)
@mithrilcompute
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Foundry is now Mithril - the AI omnicloud
Palo Alto & SF, CA
Joined April 2023
Foundry is now Mithril - the AI omnicloud We're excited to share what this next chapter will bring
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Introducing Locus: the first AI system to outperform human experts at AI R&D Locus conducts research autonomously over multiple days and achieves superhuman results on RE-Bench given the same resources as humans, as well as SOTA performance on GPU kernel & ML engineering tasks.
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ARC Virtual Cell Challenge made possible by using Mithril https://t.co/V90LFKyyLy
#mithril #mithrilcompute #mithrilai #arcinstitute #ml #machinelearning
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A lot of the compute powering our AI models has been through @mithrilcompute
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The only viable future for AI is non-autoregressive. It's upon this founding principle that we built Logical Intelligence — a company dedicated to making mission-critical software secure through AI formal verification. We’re launching two AI agents + a new foundation model to
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Dear SF, finding compute should be simple 😌
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Read the full blog and get started →
mithril.ai
Mithril batch inference prioritizes what matters most for large-scale workloads: massive‑throughput, lower costs, and a familiar developer experience.
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Familiar dev experience, built for large-scale batch: → API-first implementation → 500M tokens per day by default → @OpenAI SDK compatible
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@OpenAI gpt‑oss‑120b and gpt‑oss‑20b coming soon ⏳
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Models available now (create a job to start experimenting in ~5 mins) → Llama 4 Maverick 17Bx128E Instruct FP8 → Llama 4 Scout 17Bx16E Instruct → Llama 3.1 8B Instruct → Qwen2.5 72B Instruct Request something else, open or custom →
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Omnicloud batch inference is here: efficient, high-throughput inference for your largest workloads. ✅ Evals across 1000s of prompts ✅ Embedding gen and label prep ✅ Reasoning traces and synthetic data gen Models, details, blog → 🧵
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Introducing Mithril Batch Inference A plug-and-play API built for massive-scale inference workloads! MBI leverages Mithril's global and dynamic omnicloud pool to push the frontier on: 🚀 Throughput: process 500 M tokens/day (higher on request) across models from OpenAI,
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Foundry → Mithril (@mithrilcompute): The AI Omnicloud. Now generally available! We’re redefining GPU cloud economics, workload flexibility, and ease-of-use—for the compound AI & agentic era. 🧵 (1/8)
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Congratulations to our friends over at @reflection_ai on launching Asimov!
Engineers spend 70% of their time understanding code, not writing it. That’s why we built Asimov at @reflection_ai. The best-in-class code research agent, built for teams and organizations.
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We've loved watching @chaidiscovery build towards this breakthrough on Foundry compute. Congratulations to the team on launching Chai-2!
We’re excited to introduce Chai-2, a major breakthrough in molecular design. Chai-2 enables zero-shot antibody discovery in a 24-well plate, exceeding previous SOTA by >100x. Thread👇
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Join the waitlist for the Symposium this Friday, May 16th:
luma.com
This symposium brings together leading researchers, funders, and compute providers in the AI for Science space. The goal is to distill replicable strategies…
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Incredibly excited to add Charlélie Laurent, AI for Science @nvidia, to the AI for Science Symposium Compute Panel ⚡️
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