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Applied Compute
@appliedcompute
The best AI is built, not bought.
We partnered with @harvey to train a model for Review Table, achieving state-of-the-art accuracy at a fraction of the cost and latency of frontier alternatives. Review Table is one of Harvey’s highest inference volume products. Training an open source model for production- At Applied Compute, we're not just training models, we're building a model factory. To help researchers scale, we built Ari, our in-house AI research agent. Ari diligently sifts through gigabytes of logs to find evidence of unhealthy behavior, remembers results the team has
- Nemotron 3.5 Lightning by @NVIDIAAI is now supported for training and inference on the Applied Compute Platform. On our agentic coding benchmark, decode throughput, time to first token, and median user latency remained effectively unchanged as concurrency and total token
- You can now post-train a model inside your existing production harness with our platform, AC2. A production harness is a whole engineered system around the LLM, with its own context management, tools, sandboxing, and control flows. Porting that into a new training runtime can be
