Tag: WebDev

Every GPU cluster has dead time. Training jobs finish, workloads shift and hardware sits dark while power and cooling costs keep running. For neocloud operators, those empty cycles are lost margin.The obvious workaround is spot GPU markets — renting spare capacity to whoever needs it. But spot instances mean the cloud vendor is still the one doing the renting, and engineers buying that capacity are still paying for raw compute with no inference stack attached. FriendliAI's answer is different: run inference directly on the unused hardware, optimize for token throughput, and split the revenue with the operator. FriendliAI was founded by Byung-Gon Chun, the researcher whose paper on continuous batching became foundational to vLLM, the open source inference engine used across most production deployments today.Chun spent over a decade as a professor at Seoul National University studying efficient execution of machine learning models at scale. That research p

Multi-agent systems, designed to handle long-horizon tasks like software engineering or cybersecurity triaging, can generate up to 15 times the token volume of standard chats — threatening their cost-effectiveness in handling enterprise tasks. But today, Nvidia sought to help solve this problem with the release of Nemotron 3 Super, a 120-billion-parameter hybrid model, with weights posted on Hugging Face.By merging disparate architectural philosophies—state-space models, transformers, and a novel "Latent" mixture-of-experts design—Nvidia is attempting to provide the specialized depth required for agentic workflows without the bloat typical of dense reasoning models, and all available for commercial usage under mostly open weights.

Anthropic has upgraded its Claude AI model with new capabilities for Microsoft Excel and PowerPoint, marking a strategic move to expand its enterprise footprint and potentially challenging Microsoft’s newly launched Copilot Cowork — which Claude also partially powers. The updated add-ins are available to Mac and Windows users on paid Claude plans starting today, March 11. Anthropic is also expanding how enterprises can deploy the tools. Claude for Excel and Claude for PowerPoint can now be accessed either through a Claude account or through an existing LLM gateway routing to Claude models on Amazon Bedrock, Google Cloud Vertex AI or Microsoft Foundry. That gives enterprises more flexibility to use the add-ins within cloud and compliance setups they may already have in place.Shared context across Office apps

Yesterday amid a flurry of enterprise AI product updates, Google announced arguably its most significant one for enterprise customers: the public preview availability of Gemini Embedding 2, its new embeddings model — a significant evolution in how machines represent and retrieve information across different media types. While previous embedding models were largely restricted to text, this new model natively integrates text, images, video, audio, and documents into a single numerical space — reducing latency by as much as 70% for some customers and reducing total cost for enterprises who use AI models powered by their own data to complete business tasks.VentureBeat collaborator Sam Witteveen, co-founder of AI and ML training company Red Dragon AI, received early access to Gemini Embedding 2 and published

For decades, software companies designed their products for a single type of customer: a human being staring at a screen. Every button, menu, and dashboard existed to translate a person’s intention into a machine’s action. But a small startup based in San Francisco and Zurich believes that era is ending — and that the future belongs to companies that build software not for people, but for the artificial intelligence agents that increasingly act on their behalf.Manufact, a three-person company that emerged from Y Combinator’s Summer 2025 batch, announced in February that it raised $6.3 million in seed funding led by Peak XV, the venture capital firm formerly known as Sequoia Capital India and Southeast Asia, which now manages more than $10 billion in assets. Liquid 2 Ventures, Ritual Capital,

Presented by RSACFor two decades, the RSAC Innovation Sandbox contest has been the industry's most reliable crystal ball. With over $50.1 billion in investments and more than 100 acquisitions across its alumni, the contest has an extraordinary track record of spotting cybersecurity's future leaders before the rest of the world knows their names.The contest's track record also offers a story of generational innovation that speaks for itself, says Cecilia Marinier, vice president of innovation and scholars at RSAC."We see one founder buying another founder buying another founder," Marinier says. "Think about the amount of accumulated knowledge, and how powerful it is to continue to build on such solid foundations."It's a pattern that repeats throughout the Sandbox's alumni network. Last year, Donnchadh Casey and James White, CEOs of Calypso AI sold their company to F5, whose current Chief Product Off

Training standard AI models against a diverse pool of opponents — rather than building complex hardcoded coordination rules — is enough to produce cooperative multi-agent systems that adapt to each other on the fly. That's the finding from Google's Paradigms of Intelligence team, which argues the approach offers a scalable and computationally efficient blueprint for enterprise multi-agent deployments without requiring specialized scaffolding.The technique works by training an LLM agent via decentralized reinforcement learning against a mixed pool of opponents — some actively learning, some static and rule-based. Instead of hardcoded rules, the agent uses in-context learning to read each interaction and adapt its behavior in real time.Why multi-agent systems keep fighting each otherThe AI landscape is rapidly shifting away from isolated systems toward a fleet of agents that must negotiate, collabora