Multiverse Computing Raises $217M to Revolutionize AI Model Compression
6 Sources
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Spain's Multiverse raises $217 million for compressing AI models
PARIS, June 12 (Reuters) - Spanish AI firm Multiverse Computing said on Thursday it has raised 189 million euros ($217 million) from investment firm Bullhound Capital, HP Inc (HPQ.N), opens new tab, Forgepoint Capital and Toshiba, to compress AI language models. The company said it has developed a
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Multiverse Computing Raises $215M At A 5x Valuation Jump To Help Speed Up LLM Rollout
Spain's quantum software startup Multiverse Computing has secured $215 million in Series B funding, the company told Crunchbase News. Of the $215 million in funding, $170 million was in the form of equity and $45 million in "grants and partnerships," according to Enrique Lizaso Olmos, founder and
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Big Brains, Tiny Models: Spain's Multiverse Computing Bags $215M to Shrink AI for Smartphones - Decrypt
The method uses tensor networks from quantum physics to compress models and "heals" them with fast retraining, claiming 50% faster performance at inference. A Spanish AI startup has just convinced investors to hand over $215 million based on a bold claim: they can shrink large language models by
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Multiverse Computing bags $215M for its quantum-inspired AI model compression tech - SiliconANGLE
Multiverse Computing bags $215M for its quantum-inspired AI model compression tech Multiverse Computing S.L. said today it has raised $215 million in funding to accelerate the deployment of its quantum computing-inspired artificial intelligence model compression technology, which promises to
[5]
Spain's Multiverse raises $217 million for compressing AI models
The company said it has developed a compression technology capable of reducing the size of large language models (LLMs) by up to 95% without hurting performance and reducing costs by up to 80%.Spanish AI firm Multiverse Computing said on Thursday it has raised 189 million euros ($217 million) from
[6]
Spain's Multiverse raises $217 million for compressing AI models
PARIS (Reuters) -Spanish AI firm Multiverse Computing said on Thursday it has raised 189 million euros ($217 million) from investment firm Bullhound Capital, HP Inc, Forgepoint Capital and Toshiba, to compress AI language models. The company said it has developed a compression technology capable
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Spanish AI startup Multiverse Computing secures $217 million in funding to advance its quantum-inspired AI model compression technology, promising to dramatically reduce the size and cost of running large language models.
Spanish AI Startup Secures Major Funding
Multiverse Computing, a Spanish AI firm, has successfully raised €189 million ($217 million) in a Series B funding round led by Bullhound Capital, with participation from HP Inc, Forgepoint Capital, Toshiba, and others
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. This significant investment positions Multiverse as the largest Spanish AI startup, joining the ranks of top European AI companies1
.Revolutionary AI Compression Technology
Source: Decrypt
At the heart of Multiverse's appeal is its groundbreaking CompactifAI technology, which promises to revolutionize the AI industry by dramatically reducing the size of large language models (LLMs)
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. The company claims its compression method can shrink LLMs by up to 95% without compromising performance, while simultaneously reducing operational costs by up to 80%1
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.Quantum-Inspired Approach
Source: SiliconANGLE
Multiverse's technology uniquely combines concepts from quantum physics and machine learning
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. The CompactifAI system utilizes tensor networks, mathematical structures originally developed for tracking particle interactions in quantum physics3
. This approach allows for the preservation of meaningful correlations within AI models while discarding redundant patterns, resulting in significantly smaller yet equally capable models3
.Practical Applications and Performance
The company has already launched compressed versions of popular open-source LLMs, including Meta's Llama, China's DeepSeek, and France's Mistral
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. In one example, Multiverse demonstrated that their compressed Llama-2 7B model runs 25% faster at inference while using 70% fewer parameters, with only a 2-3% drop in accuracy3
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.Industry Impact and Future Prospects
Source: ET
Multiverse's technology has far-reaching implications for the AI industry:
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Cost Reduction: By significantly decreasing the hardware requirements for running AI models, Multiverse aims to make AI more accessible and affordable for companies of all sizes
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Edge AI Deployment: The ability to run sophisticated models locally on devices like smartphones, laptops, and IoT devices opens up new possibilities for edge computing
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Energy Efficiency: Compressed models require less computational power, potentially leading to more environmentally friendly AI applications
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Market Position and Client Base
With over 100 clients, including Bosch and the Bank of Canada, Multiverse is rapidly gaining traction in the industry
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. The company's compressed models are available on the Amazon Web Services AI marketplace, making them easily accessible to a wide range of businesses1
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.Future Developments
Multiverse plans to expand its offerings to include more reasoning models and continue refining its compression technology
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. The substantial funding is expected to accelerate the deployment and further development of their quantum-inspired AI model compression technology4
.As the AI industry grapples with the challenges of scaling and cost, Multiverse Computing's innovative approach could play a crucial role in shaping the future of AI deployment and accessibility across various sectors.
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