AI Compute Wars: How Decentralization is Shaping the Market
Exabits x Mira Network AMA
Last updated
Exabits x Mira Network AMA
Last updated
Mira Network has a dual focus: providing low-code building blocks for AI implementation and utilizing ensemble evaluation with multiple LLMs to ensure accuracy. Their node delegator program, launched in December, invites users to experience their verification power, though sophisticated machines are required. Partnering with Exabits has allowed Mira to handle technical complexities efficiently. With their test net recently launched, the daily inference volume has soared from 100,000 to over 200,000 queries.
Exabits delivers stable, managed GPU compute critical for Mira's verification nodes. This partnership guarantees high-quality service and support, cutting dependence on major cloud GPU providers like Amazon and Google. It fosters innovation and prevents centralized control.
Decentralization prevents any single entity from monopolizing AI compute, promotes open access, and supports independent projects. This balance is essential for competing against major players and maintaining a fair ecosystem.
As technology progresses, more efficient, business-specific custom solutions emerge. Mark Zuckerberg likened this evolution to the transition from Linux to open-source software. OpenAI's massive model, despite its sophistication, still feels like "intern quality" work. Over time, AI solutions will become more tailored to specific business needs, driven by cost-efficiency and technological advancements. Mira Network, in partnership with Exabits, offers tools for AI implementation and cost-effective, high-quality compute.
Independent AI companies prioritize transparency, privacy, and ethical data collection. Large tech companies often have opaque practices and profit-driven biases, leading to potential exploitation and ethical dilemmas. Independent companies operate with ethical autonomy, avoiding the influence and control exerted by tech giants. This ensures fair access to resources and a balanced AI ecosystem.
The AI compute landscape will see more efficient resource usage, with providers switching to the most lucrative inference options. AI agents will become more prevalent, handling transactions and on-chain activities. AI will become ubiquitous in daily life, with applications like personalized AI concierges, health monitors, and business assistants. Decentralized AI networks will drive innovation and foster peer-to-peer AI marketplaces, promoting a collaborative ecosystem.
Mira Network ensures reliability through a trustless verification system and decentralized network. Their ensemble approach reduces error rates from 35-40% to below 5%, providing enhanced reliability, especially in fields with clear-cut rules like legal applications.
Mira partners with established projects like Exabits and Genesis partners such as Aether, Hyperbolic, Ionet, and Sphero. These collaborations decentralize the network and ensure access to various GPUs, optimizing compute resources.
Mira simplifies processes and focuses on clear objectives, partnering with credible projects. Their refined go-to-market strategy ensures they stay competitive and responsive to technological advancements.
The Trump administration's pro-crypto stance and reduced regulation are expected to boost innovation. Appointing David Sachs as the crypto AI czar indicates a commitment to minimizing government intervention and fostering technological advancement. The focus is on making the US competitive and ensuring it remains a leader in innovation.
The future of AI is incredibly exciting. Imagine having a workforce of intelligent agents helping you achieve your goals, increasing efficiency, and driving innovation. Companies like Exabits and Mira are at the forefront, making it possible. Decentralized networks will play a crucial role in driving progress and innovation, fostering a bright future for AI.
