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AI Model Benchmarks

Compare current models using source-verified access, context, pricing, and evaluation evidence.

68 models13 providersVerified 2026-08-14
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OpenAI's Jalapeño Chip: First Inference Benchmarks

OpenAI's Jalapeño Chip: First Inference Benchmarks

OpenAI released the first measured benchmarks for Jalapeño, its custom inference chip, claiming large efficiency gains over commercial GPUs, though the silicon isn't deployed yet and the numbers are OpenAI's own.

AI Agent Delivery
NVIDIA Vera Rubin NVL72: 30x More Work Per Watt

NVIDIA Vera Rubin NVL72: 30x More Work Per Watt

NVIDIA's Vera Rubin NVL72 posts up to 30x more work per watt and 35x lower cost per million tokens than GB300 NVL72 on agentic workloads, which reframes the economics of running AI agent fleets.

AI Agent Delivery
Hugging Face Hub Crosses 3 Million Models

Hugging Face Hub Crosses 3 Million Models

The Hugging Face Hub crossed 3 million public models in under a year of adding the last million, but downloads follow an extreme power law, so the real MLOps lesson is provenance and evaluation, not more dependencies.

AI Agent Delivery
Quantum-Safe Key Import Lands in Google Cloud KMS

Quantum-Safe Key Import Lands in Google Cloud KMS

Google Cloud KMS previews quantum-safe key import, wrapping customer-supplied keys in transit with NIST ML-KEM so a Store-Now-Decrypt-Later attacker cannot harvest them for a future quantum computer.

AI Agent Delivery
AWS Glue 6.0: 30% Cheaper, Iceberg v3, Spark 4.1

AWS Glue 6.0: 30% Cheaper, Iceberg v3, Spark 4.1

AWS Glue 6.0 cuts pricing 30%, adds full Apache Iceberg v3, and moves to Spark 4.1, so migrating your ETL jobs is both a cost win and a toolchain upgrade.

AI Agent Delivery
windows-11-arm Runners Move to Visual Studio 2026

windows-11-arm Runners Move to Visual Studio 2026

GitHub is moving windows-11-arm runners to Visual Studio 2026 by default, and it may break VS2022 workflows, so test now before the September rollout.

AI Agent Delivery

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If one of these articles maps directly to your current workflow pressure, the next useful step is usually a review of the system, constraints, and next build decision.