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Infrastructure

AWS extends Lambda SnapStart to container-image functions

AWS said Lambda SnapStart is now available for functions packaged as container images. The opt-in feature snapshots an initialized execution environment during deployment, caches it and resumes it on invocation, which AWS says can reduce startup times from several seconds to as low as sub-second. SnapStart had previously been limited to managed Python, .NET and Java runtimes. The container-image capability is available in commercial AWS Regions except New Zealand and Taipei.
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Capital AI
Capital AI

Nevis raises $70M with Schwab joining wealth software investors

Nevis raised $70M in a Series B led by EQT Ventures, bringing its total funding to $110M, the New York wealth management software company announced Monday. Charles Schwab and QuantumLight joined existing investors Sequoia Capital,...

The Next Web
Robotics Capital
Robotics Capital

Bedrock Robotics raises $600M at a $4.1B valuation

Bedrock Robotics raised a $600M Series C at a $4.1B valuation, Bloomberg reported. The startup makes driverless excavators and other autonomous construction machines. The financing adds capital to a company developing autonomous ...

Techmeme
Capital
Capital

Matiks raises $10 million to expand puzzle games and game creation

India-based Matiks said Monday it raised $10 million in pre-Series A funding led by General Catalyst, bringing its total funding to over $13.5 million. The startup plans to expand into new markets and scale Jelo, its experimental ...

TechCrunch
AI Products
AI Products

AWS makes GPT-6.1 Terra generally available on Bedrock

AWS announced general availability of OpenAI's GPT-6.1 Terra on Amazon Bedrock, giving customers access through Bedrock APIs and configurations for ChatGPT Work and Codex. The model accepts text and images and supports up to 1 mil...

Recent Announcements
AI
AI

OpenAI releases GPT-6.1 Terra at $1 per million input tokens

OpenAI has released GPT-6.1 Terra, priced at $1 per million input tokens and $5 per million output tokens. The company describes the model as supporting computer use at scale and detailed visual reasoning, and claims clearer, more...

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