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Beam (Beam) is an open source serverless platform for AI apps. Run GPU inference, background jobs, and sandboxes with ultrafast boot times and no vendor lock-in.

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Y Combinator

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11,750 просмотров • 6 месяцев назад •via X (Twitter)

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#mixtral #mistral #LLM360 Serving Mixtral and LLM360 on FEDML Nexus AI ( We offer Mixtral model endpoints the cheapest in the market: only $0.0005 / 1K tokens! FEDML embraces open source and open model weights. We believe the future of AI belongs to large-scale open collaboration. Today we are excited to support new advances in open-source foundation models: Mixtral, the latest open-source LLM beating Llama2-70B with Mixture-of-Experts (MoE) architecture, and Amber and CrystalCoder backed by LLM360, the framework for open-source LLMs to foster transparency, trust, and collaborative research. Compared to existing fragmented ML products in the market, FEDML Nexus AI is the next-gen cloud service for LLM and Generative AI. It provides an end-to-end platform backed by serverless/decentralized AI infrastructure. Specifically: 1. Economical Serving Engine, ScaleLLM, is where you run your model in cheaper price by optimizing GPU memory and with fully optimized throughput for supporting more concurrent requests. 2. FEDML® Deploy simplifies CLI and MLOps workflow for model deployment on a serverless GPU cloud or on-premise cluster. 3. Serverless Endpoint runs on serverless GPU clouds. With our pay per use policy, we abstract the responsibility of acquiring or leasing an extensive GPU inventory when your are uncertain about your future AI service traffic. The autoscaling feature seamlessly adjusts the backend GPU resources in response to your service traffic. 4. On-premise Deployment helps you own your LLM model on your local environment with AI safety support. 5. FEDML® Launch for serverless GPU clouds. With one-line CLI, it swiftly pairs AI jobs with the most economical GPU resources, auto-provisions, and effortlessly runs the job, abstracting complex environment setup and management. 6. Zero-code Fine-tuning supported by FEDML® Studio optimizes your model on your domain-specific data without writing any line of source code. 7. Pre-training LLM supports cluster management and experimental tracking. You maintain your training clusters for your urgent needs in your vertical domain. As a closing note, FEDML is gearing up to unveil a cutting-edge service for LLM-based agents and our own cost-effective LLM. Please stay tuned and keep an eye out for upcoming announcements!
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#mixtral #mistral #LLM360 Serving Mixtral and LLM360 on FEDML Nexus AI ( We offer Mixtral model endpoints the cheapest in the market: only $0.0005 / 1K tokens! FEDML embraces open source and open model weights. We believe the future of AI belongs to large-scale open collaboration. Today we are excited to support new advances in open-source foundation models: Mixtral, the latest open-source LLM beating Llama2-70B with Mixture-of-Experts (MoE) architecture, and Amber and CrystalCoder backed by LLM360, the framework for open-source LLMs to foster transparency, trust, and collaborative research. Compared to existing fragmented ML products in the market, FEDML Nexus AI is the next-gen cloud service for LLM and Generative AI. It provides an end-to-end platform backed by serverless/decentralized AI infrastructure. Specifically: 1. Economical Serving Engine, ScaleLLM, is where you run your model in cheaper price by optimizing GPU memory and with fully optimized throughput for supporting more concurrent requests. 2. FEDML® Deploy simplifies CLI and MLOps workflow for model deployment on a serverless GPU cloud or on-premise cluster. 3. Serverless Endpoint runs on serverless GPU clouds. With our pay per use policy, we abstract the responsibility of acquiring or leasing an extensive GPU inventory when your are uncertain about your future AI service traffic. The autoscaling feature seamlessly adjusts the backend GPU resources in response to your service traffic. 4. On-premise Deployment helps you own your LLM model on your local environment with AI safety support. 5. FEDML® Launch for serverless GPU clouds. With one-line CLI, it swiftly pairs AI jobs with the most economical GPU resources, auto-provisions, and effortlessly runs the job, abstracting complex environment setup and management. 6. Zero-code Fine-tuning supported by FEDML® Studio optimizes your model on your domain-specific data without writing any line of source code. 7. Pre-training LLM supports cluster management and experimental tracking. You maintain your training clusters for your urgent needs in your vertical domain. As a closing note, FEDML is gearing up to unveil a cutting-edge service for LLM-based agents and our own cost-effective LLM. Please stay tuned and keep an eye out for upcoming announcements!

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Gitlip Launch 🌷🚀 Gitlip is an all-in-one coding platform for shipping micro apps 👼💫 It features: 🌷Git repositories, 🤝 collaborative and ✨ AI assisted coding and ☁️ serverless deployments. No login required to try out!
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Gitlip Launch 🌷🚀 Gitlip is an all-in-one coding platform for shipping micro apps 👼💫 It features: 🌷Git repositories, 🤝 collaborative and ✨ AI assisted coding and ☁️ serverless deployments. No login required to try out!

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BrowserOS (Browser OS) is an open-source, privacy-first alternative to ChatGPT Atlas & Perplexity Comet. No vendor lock-in: use any LLM or search engine AI agents run locally. No tracking you for ads or data collection. Available for Mac/Win/Linux. Congrats on the launch, Nikhil Sonti, Nithin!
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BrowserOS (Browser OS) is an open-source, privacy-first alternative to ChatGPT Atlas & Perplexity Comet. No vendor lock-in: use any LLM or search engine AI agents run locally. No tracking you for ads or data collection. Available for Mac/Win/Linux. Congrats on the launch, Nikhil Sonti, Nithin!

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What is AI inference engineering, why is it such an in-demand skill, and how do you break into the field? With author of Inference Engineering Philip Kiely and head of training at Baseten Charlie O'Neill 0:00: What is inference? 2:47: History of inference 4:59: Downstream effects of AI research on inference 13:54: What you'll learn from Inference Engineering 16:14: Advice for engineers transitioning into AI 19:00: Open source models driving inference growth 20:55: Specialization vs. frontier closed models 23:51: "Big Token" and the importance of open source AI 27:18: Where to get Inference Engineering
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What is AI inference engineering, why is it such an in-demand skill, and how do you break into the field? With author of Inference Engineering Philip Kiely and head of training at Baseten Charlie O'Neill 0:00: What is inference? 2:47: History of inference 4:59: Downstream effects of AI research on inference 13:54: What you'll learn from Inference Engineering 16:14: Advice for engineers transitioning into AI 19:00: Open source models driving inference growth 20:55: Specialization vs. frontier closed models 23:51: "Big Token" and the importance of open source AI 27:18: Where to get Inference Engineering

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Introducing Chroma Cloud: an open-source serverless search database that is fast, cost-effective, scalable, and reliable.
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Chroma

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announcing spanDEX: the first Free & Open Source Meta-Aggregator for developers, traders, and AI agents: - expand tokens/pools/chains beyond a single provider - get multiple quotes to find the best price - redundancy when an aggregator fails - no vendor lock-in spandex dot sh

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Hugging Face CEO Clem Delangue predicts that a growing share of AI inference will run locally, on-device. It's faster. Cheaper. Private by default. And as open source AI moves from apps to machines, it could trigger “some sort of ChatGPT moment for robotics.” The next AI breakthrough will happen where intelligence becomes embodied, cheap, private, and open.

vitrupo

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Beam Node Token Mint - NOW LIVE. Empower the Beam Network and earn rewards in $BEAM, $ATH, $ZENT, $SAGA and many more. More information and instructions below.
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Beam Foundation

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The building sequence is a showcase of how denji needs beam. He loses immediately when beam falls. Action masterclass aside theres an obvious reason he hangs on a beam "wink" to save himself while waiting in beam to save him and keep him in the fight. ALL ANIME ORIGINAL BTW.
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The building sequence is a showcase of how denji needs beam. He loses immediately when beam falls. Action masterclass aside theres an obvious reason he hangs on a beam "wink" to save himself while waiting in beam to save him and keep him in the fight. ALL ANIME ORIGINAL BTW.

debunkedbyeren

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Today’s the day🚀 We’re opening the doors to the Daydream platform - API + Playground Experience🌊 We’re the world’s first hosted StreamDiffusion platform: 1⃣ No GPU required 2⃣Sub-second latency 3⃣Advanced controls that let you experiment quickly and scale seamlessly. This is the start of an open ecosystem for real-time video and world models. Your home for open source, real-time video AI 👇🧵
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Today’s the day🚀 We’re opening the doors to the Daydream platform - API + Playground Experience🌊 We’re the world’s first hosted StreamDiffusion platform: 1⃣ No GPU required 2⃣Sub-second latency 3⃣Advanced controls that let you experiment quickly and scale seamlessly. This is the start of an open ecosystem for real-time video and world models. Your home for open source, real-time video AI 👇🧵

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In the portfolios run by DA Ministers, we have decided to focus like a laser beam on growth and jobs. South Africa today is immeasurably better for having the DA in government. The DA in the GNU will continue to fight for more growth, more jobs, and to drive the reforms.

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Thank you to Markku Räsänen, CEO of ConfidentialMind for sitting down with us and sharing his thoughts on: - Whether open source models are undervalued - Changes in AI infrastructure & inference - Power consumption & efficiency in Europe - The future of open source AI
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Thank you to Markku Räsänen, CEO of ConfidentialMind for sitting down with us and sharing his thoughts on: - Whether open source models are undervalued - Changes in AI infrastructure & inference - Power consumption & efficiency in Europe - The future of open source AI

SambaNova

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"Inference, if you look at it as a market, will be much, much bigger than cloud computing was pre-ChatGPT." Lightspeed’s Bucky Moore says inference is an underrated investment category in AI, and expects the market to break up into large, specialized platforms for each modality: "The GPU supply crunch that we're seeing right now is largely, as Dylan Patel has said on the show before, due to the fact that not only these consumer products, but also B2B products like Claude Code and Codex are just really taking off and creating insane demand for inference." "We're talking hundreds of billions in spend every year. And if that's true, I think there will be very, very large inference platforms built in each modality." "So there will be an inference platform for real-time video models, there will be an inference platform for open-source and custom language models, there will be an inference platform built specifically for long-running agents." "So I think we're just going to see that industry, which today looks like one industry, break up into many because of how big it is and how much room for specialization there is."
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"Inference, if you look at it as a market, will be much, much bigger than cloud computing was pre-ChatGPT." Lightspeed’s Bucky Moore says inference is an underrated investment category in AI, and expects the market to break up into large, specialized platforms for each modality: "The GPU supply crunch that we're seeing right now is largely, as Dylan Patel has said on the show before, due to the fact that not only these consumer products, but also B2B products like Claude Code and Codex are just really taking off and creating insane demand for inference." "We're talking hundreds of billions in spend every year. And if that's true, I think there will be very, very large inference platforms built in each modality." "So there will be an inference platform for real-time video models, there will be an inference platform for open-source and custom language models, there will be an inference platform built specifically for long-running agents." "So I think we're just going to see that industry, which today looks like one industry, break up into many because of how big it is and how much room for specialization there is."

TBPN

33,278 просмотров • 2 месяцев назад

⚡️Today marks a big milestone for Nebius. We’re launching Nebius Token Factory, the evolution of Nebius AI Studio, built to make open-source AI production-grade. Token Factory transforms raw open models into governed, scalable systems with dedicated inference, sub-second latency, 99.9% uptime and zero-retention compliance. It’s where inference, post-training and governance converge, turning raw compute into reliable intelligence. Run AI inference at scale:
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⚡️Today marks a big milestone for Nebius. We’re launching Nebius Token Factory, the evolution of Nebius AI Studio, built to make open-source AI production-grade. Token Factory transforms raw open models into governed, scalable systems with dedicated inference, sub-second latency, 99.9% uptime and zero-retention compliance. It’s where inference, post-training and governance converge, turning raw compute into reliable intelligence. Run AI inference at scale:

Nebius Token Factory

259,764 просмотров • 7 месяцев назад

Immutable 🤝 You are looking for Beam Immutable, the leading web3 gaming platform, is joining forces with Merit Circle DAO, the world's largest gaming-focused DAO to unlock Beam's future gaming and trading experience! The Beam network is an open-source, multi-chain gaming ecosystem tailor-made to make it easy for game studios to build. It is a platform that: ✅ Simplifies game development complexities ✅ Enhances user experience ✅ Puts focus back on the player Beam will launch on Immutable zkEVM, powered by @0xPolygonLabs. They will incorporate our one-stop shop of solutions like Orderbook and Passport to help builders increase their revenue and liquidity by sharing digital assets across the world's leading marketplaces. “At the Merit Circle DAO, we want Beam – our gaming ecosystem – to be wherever games, players and developers are. This collaboration with Immutable and Polygon Labs represents a huge leap towards that vision,” said Marco van den Heuvel, CGO and Co-founder, Merit Circle. Dive into the partnership:
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Immutable 🤝 You are looking for Beam Immutable, the leading web3 gaming platform, is joining forces with Merit Circle DAO, the world's largest gaming-focused DAO to unlock Beam's future gaming and trading experience! The Beam network is an open-source, multi-chain gaming ecosystem tailor-made to make it easy for game studios to build. It is a platform that: ✅ Simplifies game development complexities ✅ Enhances user experience ✅ Puts focus back on the player Beam will launch on Immutable zkEVM, powered by @0xPolygonLabs. They will incorporate our one-stop shop of solutions like Orderbook and Passport to help builders increase their revenue and liquidity by sharing digital assets across the world's leading marketplaces. “At the Merit Circle DAO, we want Beam – our gaming ecosystem – to be wherever games, players and developers are. This collaboration with Immutable and Polygon Labs represents a huge leap towards that vision,” said Marco van den Heuvel, CGO and Co-founder, Merit Circle. Dive into the partnership:

Immutable

13,079,345 просмотров • 2 лет назад

No single vendor will win the AI race, but open ecosystems might. Real velocity in AI comes from interoperability, not lock-in. And AMD just made all of its software open source. At last week’s Advancing AI 2025, we sat down with AMD’s VP of AI Software Anush Elangovan and Sharon Zhou VP of AI at AMD, to discuss their case for why an open, multi-partner ecosystem will accelerate AI innovation faster than any proprietary alternative. AMD’s announcements last week double down on this OSS focus and their commitment to AI infrastructure, including: ✅ Open Source Ecosystem: ROCm 7, AMD’s latest open-source AI software stack, introduces kernel-level improvements for GEMM operations, optimized attention mechanisms, and expanded support for distributed inference. The update brings substantial speedups for inference workloads, with average performance increases of 3.2x to 3.8x ✅ Hardware: New MI355X GPU delivers up to 40% more tokens per dollar vs competition & the MI350 Series has seen a 35x generational leap in AI inference performance ✅ Infrastructure Investments: Oracle just committed to zettascale (‼️) clusters with up to 131,072 MI355X GPUs and AMD showcased their new $10 billion partnership with Saudi Arabian AI firm HUMAIN to build AI infrastructure, including data centers, powered by AMD chips. ✅ Partnership Momentum: 7 out of 10 top AI companies now run production workloads on AMD Instinct accelerators (including Meta, OpenAI, Microsoft & xAI) By inviting interoperability and contribution at every layer, AMD is enabling developers to build faster, optimize deeper, and deploy with flexibility. Listen to Anush and Sharon’s Chain of Thought Podcast episode with host Conor Bronsdon in the next tweet to get all the details and a deep dive into AMD’s strategy 👇
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No single vendor will win the AI race, but open ecosystems might. Real velocity in AI comes from interoperability, not lock-in. And AMD just made all of its software open source. At last week’s Advancing AI 2025, we sat down with AMD’s VP of AI Software Anush Elangovan and Sharon Zhou VP of AI at AMD, to discuss their case for why an open, multi-partner ecosystem will accelerate AI innovation faster than any proprietary alternative. AMD’s announcements last week double down on this OSS focus and their commitment to AI infrastructure, including: ✅ Open Source Ecosystem: ROCm 7, AMD’s latest open-source AI software stack, introduces kernel-level improvements for GEMM operations, optimized attention mechanisms, and expanded support for distributed inference. The update brings substantial speedups for inference workloads, with average performance increases of 3.2x to 3.8x ✅ Hardware: New MI355X GPU delivers up to 40% more tokens per dollar vs competition & the MI350 Series has seen a 35x generational leap in AI inference performance ✅ Infrastructure Investments: Oracle just committed to zettascale (‼️) clusters with up to 131,072 MI355X GPUs and AMD showcased their new $10 billion partnership with Saudi Arabian AI firm HUMAIN to build AI infrastructure, including data centers, powered by AMD chips. ✅ Partnership Momentum: 7 out of 10 top AI companies now run production workloads on AMD Instinct accelerators (including Meta, OpenAI, Microsoft & xAI) By inviting interoperability and contribution at every layer, AMD is enabling developers to build faster, optimize deeper, and deploy with flexibility. Listen to Anush and Sharon’s Chain of Thought Podcast episode with host Conor Bronsdon in the next tweet to get all the details and a deep dive into AMD’s strategy 👇

Galileo

78,922 просмотров • 11 месяцев назад