AI Wiki — Knowledge Base

Agentic inference is set to be different than today's inference, and will change compute infrastructure because speed won't matter when humans aren't involved (Ben Thompson/Stratechery)

Ben Thompson / Stratechery: Agentic inference is set to be different than today's inference, and will change compute infrastructure because speed won't matter when humans aren't involved — Subscribe t

agentstechmeme

11 May 2026

Search: “inference”

fyi @FireworksAI_HQ launched inference AND training for K3 on day 0. having 'specialized intelligence' isn't just inference, it's inference …

DigitalOcean Inference Router, Now Cache-Aware: Why the Cheapest Model Isn't Always the Best Deal

Inference Headroom Ratio: A Diagnostic and Control Framework for Inference Stability Under Constraint

SOTA Apple Silicon Inference (August 15, 2026)

Networking for AI inference model serving - GKE only and for all other backends

how inference engines actually work - releasing full talk slides! i cover everything in the lifetime of a request e2e: > the inference engin…

Next YC Paper Club: Inference Inference is no longer just: y = model.forward(x) It has now become as complex and important as training. The …

Global AI routing with <1% overhead on multi-cluster GKE Inference Gateway

Amortized Factor Inference Networks for Posterior Inference

Post-ADC Inference: Valid Inference After Active Data Collection

The Economics of AI Inference: Inflation Dynamics, Welfare Costs, and Optimal Monetary Policy under the Inference-Cost Phillips Curve

Inference is becoming the largest compute market and energy consumer in AI. Pearl turns inference CapEx of hyperscalers into a profit center…

From Inference Engine to Inference Control Plane: Connecting vLLM, llm-d, and the Evolution of Efficient Distributed LLM Serving

Report: GKE Inference Gateway delivers up to 92% faster AI responses

What Type of Inference is Active Inference?

Minimax M3 is a remarkable model in many ways, but esp for inference efficiency. Minimax model designers and @togethercompute inference team…

Together AI has long been a proud supporter of open-source innovation in inference. We're excited for the new TokenSpeed inference engine, a…

Really excellent work by the inference team to serve this model so efficiently! To a significant degree, we have to become an AI inference c…

High-Dimensional Simulation-Based Inference in Latent Spaces

Web agent economics are set by inference volume and each step is one inference call. A simple task (extract a field, fill a form, navigate a…

2/ New deep dive: Autoscaling endpoints for LLM inference. Dedicated Inference can scale on eight metrics. inflight_requests is the default …

Outperforming Fable 5 at half the price: meet model synthesis, a new server-side tool on DigitalOcean Inference Engine

Scaling AI Inference Across Multiple GPUs Using NVIDIA TensorRT with Multi-Device Inference Support

Many research labs only consider inference efficiency after the fact. Step 3.7 Flash is a 196B MoE model, and built for inference from the s…

Agentic inference is set to be different than today's inference, and will change compute infrastructure because speed won't matter when humans aren't involved (Ben Thompson/Stratechery)

DigitalOcean Inference Router Enhancements: Performance Tuned Routing, No Rules to Write

Demystifying LLM-as-a-Judge: Analytically Tractable Model for Inference-Time Scaling

From Interface to Inference: Eliciting Any-Order Inference from Any-Order Models

Deterministic Inference across Tensor Parallel Sizes That Eliminates Training-Inference Mismatch

RAT+: Train Dense, Infer Sparse -- Recurrence Augmented Attention for Dilated Inference

Inference-Layer Security: Defending Against Adversarial Inference and Infrastructure Abuse

Joint Optimization of Memory and Computing Frequency for Energy-Efficient DNN Inference

Flying by Inference: Active Inference World Models for Adaptive UAV Swarms

Spectra: Exact Component Transport for Test-Time Prior Adaptation in Simulation-Based Inference

Inference Engines will become a series of one-offs

Channel-Adaptive Edge AI: Maximizing Inference Throughput by Adapting Computational Complexity to Channel States

DART-FL: Burst-Aware Multitask Federated Learning under Dynamic Inference Demand at the Edge

Optimizing Likelihoods via Mutual Information: Bridging Simulation-Based Inference and Bayesian Optimal Experimental Design

Agree on the Model, Verify the Inference: GKR Protocols for HND-Based Transformer Inference

Enabling Scalable Topology Inference in Distribution Systems via Constrained Multi-Source Inference

Efficient and Privacy Aware Edge Cloud Collaborative Inference for Large Language Models

DPU or GPU for Accelerating Neural Networks Inference -- Why not both? Split CNN Inference

Experimenting with GPUs: GKE managed DRANET and Inference Gateway AI Deployment

Amazon SageMaker Inference: 2026 year-to-date launches in review

The Invisible Editorial Layer: Formalizing Undisclosed Inference-Time Steering, Probability Placement, and the Attribution Problem in Deployed Language Models

Algorithm-Architecture Co-Design for Efficient VLA Inference via Speculative Inference and Verification

BALANCE: Hybrid Autoregressive-Speculative LLM Inference in Wireless Edge Networks

Deltoris: Enabling Real-time VLA Inference in Embodied AI via Bit-level Sparsity and Speculative Inference