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Model Deployment

249 summarised stories about Model Deployment, each linking back to the original source. Browse all topics →

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Friday, 14 August 2026

Touchmark wants to turn AI inference into a futures market

Tech Funding News 2 months ago 40

Touchmark launched a futures-style market where companies can prepay for AI inference capacity as tradable token contracts tied to delivery windows. The platform offers discounts of up to 30% for tokens covering September based on prepaid timing. Buyers get standardized forward pricing and delivery through an API contract system, while providers can sell capacity months ahead instead of relying on private one-off deals.

Your container images are unsigned. In the AI era, that’s a ticking time bomb.

The New Stack 2 months ago 45

Amazon ECR Managed Signing was introduced to address how unsigned container images leave organizations unable to cryptographically prove image origin or prevent tampering in AI-era delivery pipelines. It uses AWS Signer with a default signature validity of 135 months and signs a Notary payload that binds the image manifest digest to an identity. With registry-backed signing plus Kubernetes enforcement (e.g., Kyverno/Gatekeeper/Ratify), unsigned or untrusted images are blocked from running and compromised signer identities can be revoked to stop trust fleetwide.

The Sequence Opinion - Issue 914: From Prompt to Token: How AI Inference Really Works

TheSequence 2 months ago 51

Inference systems turn a trained model into a streaming service that handles asynchronous user traffic, varying prompt sizes, and GPU scheduling for transformer computation. A described example uses a 4,000-token prompt requesting a 300-token answer. The shift is that “inference” is treated as a full request/token pipeline (tokenization, context assembly, routing, memory management, sampling, and streaming) rather than a single forward pass.

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