2Min ReadThe Real AI Arms Race: Algorithms, Not Data CentersEveryone assumes AI will always demand massive compute. But what if a breakthrough algorithm makes today’s data centers and GPUs obsolete? This post explores why the real AI arms race may be about math, not machines.Read More3Min ReadWhy Enterprise AI Will Stall Without a New Data FoundationLLMs have set a new bar for speed and usability, but enterprises can’t meet this demand with legacy data systems. Only a step-change in data infrastructure will unlock real-time, AI-driven productivity.Read More2Min ReadHas Postgres Won? Or Are Databricks and Snowflake Just Out of Options?When scanning engines like Databricks and Snowflake start turning to Postgres for faster AI queries, it raises a serious question: have they hit a wall? Index-free architectures can’t deliver hot queries at scale—and bolting on Postgres doesn’t solve the root problem. Craxel’s Black Forest solves the indexing bottleneck with an O(1) algorithm that delivers instant access to fully connected data at any scale—without the cost and complexity of legacy tech.Read More3Min ReadCraxel’s Lesson for AI: Scale Comes from Smarter Math, Not More PowerOne podcast guest joked he’d stop worrying about the national debt if we could add a terawatt of power per year to scale AI. But what if we didn’t need that much energy in the first place? This post explores whether algorithmic breakthroughs—like those already proven in data infrastructure—could reshape AI’s future without the massive energy bill.Read More1Min ReadScaling and Speeding Up Knowledge Graphs for AI-Powered Decision MakingCraxel’s Black Forest™ makes it possible to build and update massive knowledge graphs in real time—enabling AI at unprecedented scale and speed. Looking forward to the discussion at the Data Centric Architecture Forum, hosted by Semantic Arts in Fort Collins, Colorado.Read More2Min ReadStop Pushing the Boulder: Why AI Can't Win Without a New Approach to DataTo maintain strategic advantage in AI, the U.S. must replace brute-force data architectures with real-time, secure knowledge infrastructure—Craxel’s Black Forest enables mission-critical decision making by delivering instant access to connected information at scale.Read More1Min ReadRevolutionizing Government Data for the AI Era: Craxel’s Black Forest Leads the WayCraxel shared with senior government leaders how Black Forest can transform decision making across agencies. With breakthrough speed, efficiency, and security, Black Forest empowers the U.S. government to unlock critical insights from massive data assets—accelerating missions and strengthening national capabilities.Read More2Min ReadWhy the World's Data Engines Are Broken—and How to Fix ThemToday’s dominant data engines were built for an earlier era and are struggling to meet the speed, efficiency, and scalability demands of AI. Craxel’s Black Forest offers a new knowledge infrastructure that unlocks the full potential of AI-powered decision making at massive scale.Read More2Min ReadAI at Scale Requires a New Foundation: Meet Your Knowledge InfrastructureAI-powered decision making demands more than legacy data infrastructure can deliver. Craxel’s Black Forest provides the universal knowledge infrastructure needed to scale AI—combining high-speed, multidimensional indexing with ACID-compliant knowledge graphs and real-time vector search. This is the future of AI at scale.Read More2Min ReadBeyond Amdahl’s Law: The Algorithmic Revolution Reshaping AI’s Knowledge InfrastructureLegacy data algorithms are holding back the future of AI. Built on decades-old foundations, today’s data engines struggle under the weight of complexity, scale, and cost—crippled by bottlenecks like Amdahl’s Law and brute-force inefficiencies. In contrast, Craxel’s Black Forest delivers a revolutionary knowledge infrastructure purpose-built for AI-powered decision making. With massively parallel algorithmic innovation, Black Forest turns wasted compute into warp-speed performance—ushering in a future that’s faster, smarter, and more secure. The era of legacy is over. The algorithmic revolution has begun.Read MoreNext
