Introducing the Applied Compute Agent CloudRead more

Like our models, we keep learning

CompanySEP 24, 2026

Securely Deploying Open-Weight Models

PlatformSEP 23, 2026

Billion-Token Scale Trace Analysis: Jev vs LLMs

Case studySEP 4, 2026

Training a Specialist Code Search Agent with turbopuffer

ResearchAUG 28, 2026

Frontier-scale RL with Kimi K3

PlatformAUG 25, 2026

Applied Compute Agent Cloud

Case studyAUG 14, 2026

Training Frontier Review Table Agents with Harvey

PlatformAUG 12, 2026

Ari, Applied Compute's in-house AI research agent

PlatformAUG 6, 2026

Bring Your Own Harness to AC2

Case studyAUG 5, 2026

Post-Training Collaboration with NVIDIA

PlatformAUG 3, 2026

Productionizing self-distillation methods

PlatformJUL 28, 2026

Scaling RL training in the age of multi-agent systems

ResearchJUL 3, 2026

Predicting and Controlling Staleness in Fully Asynchronous RL Training

ResearchJUN 26, 2026

Neural Cheat Sheets: Learning to Summarize with Reinforcement Learning

Case studyJUN 22, 2026

Training a State-of-the-Art Legal Agent with Harvey

ResearchJUN 16, 2026

Continued Training with Entropy Preserving RL

CompanyJUN 10, 2026

Moats Need Models

ResearchJUN 4, 2026

Training an Agentic Router for Optimal Cost-Performance on SWE Tasks

ResearchMAY 22, 2026

Bringing Capabilities in Distribution via Relevance-Masked Self-Distillation

Case studyMAY 11, 2026

Unlocking Real-Time Bug Detection at Cognition

ResearchMAY 8, 2026

Memory in the wild: how we use Context Engine on our own code

ResearchMAY 1, 2026

Remember, Refine, Retrieve: A Context Engine for Enterprise Agents

ResearchAPR 22, 2026

Benchmarking Inference Engines on Agentic Workloads

CompanyAPR 10, 2026

Unlocking the AI Overhang

CompanyAPR 8, 2026

The Advantage You Own

ResearchMAR 24, 2026

Speeding up RL with high-leverage samples

Case studyFEB 24, 2026

Building State-of-the-Art Agents with Mercor

Case studyFEB 17, 2026

Automating Merchant Onboarding at DoorDash

CompanyOCT 29, 2025

It's time to get specific