Dario Amodei estimates that around $1b per AI company will be spent on compute this year, around $10b in 2025 and $100b in 2026.
This shows that only a few can afford this race.
COMPUTING
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AI Compute Spending Estimates Reach $100B by 2026
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Databricks Marketplace Expands to 2500+ Listings Across 250 Providers
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#DatabricksMarketplace offers 2500+ listings across 250 providers – with many more to come. Want tips on evaluating the right provider for your use cases? Or best practices for providers to maximize the reach of their offerings? Check out our new FAQ. https://
dbricks.co/4hIGtAc -
Quantum Memory Advances Revolutionize Computing Algorithms
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Quantum Leap: Revolutionizing Quantum Simulations with Memory Quantum memory is unlocking new frontiers in quantum computing and information processing. Recent breakthroughs have shown that algorithms leveraging quantum memory can dramatically reduce the number of
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32B Open Source LLM Fits Affordable GPU Hardware
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If this doesn’t make you bullish on Open Source – I don’t know what will! That’s a 32B LLM that can easily fit on a ~0.8 USD/ hour GPU – spitting ungodly num of tokens Back of the napkin math:
– fp16/ bf16 – 32GB VRAM (would fit on a L40S)
– 8-bit – 16GB VRAM (L4)
– 4-bit – -
Scaling laws diminishing returns for OpenAI GPT models
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> Are scaling laws over? A report from the Information announced that @OpenAI is seeing diminishing returns from scaling up the next GPT models. What are scaling laws? These are empiric laws that say "Every time you increase compute spent in training 10-fold, your LLM's
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Quantum Batteries May Output More Energy Than Stored
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Quantum batteries could give off more energy than they store. Simulations suggest that when a quantum battery shares a quantum state with the device it is powering, the device can gain more charge than was stored in the battery to begin with
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On-Device AI: Faster Performance and Enhanced Data Security
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Hi Thorsten, Here are 4 highlights: 1.Enhanced AI Capabilities: On-device AI delivers faster experiences with minimal lag compared to cloud-based solutions.
2. Reduced Security Risks: Protect data with on-device AI that minimizes vulnerabilities associated with network -
AI Redesigning Its Silicon Infrastructure Foundation
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AI is redesigning the melted sand upon which it runs.
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AI Intelligence Costs Plummet: Token Prices Drop Rapidly
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AI-driven intelligence costs are falling fast: token prices are dropping faster than nearly anything in tech. We might see intelligence (compute, inference) become a renewable, fungible resource, fueled by inputs like hardware (GPUs, TPUs, ASICs), electricity, and the supply