Newsroom

Nebula Block is heading to GTC2025

Nebula Block

28 Feb 2025 — 1 min read

Nebula Block is heading to hashtag#GTC2025! Join us as we showcase the latest innovations in serverless AI infrastructure and discover how our platform can simplify AI adoption and drive business success. Stay tuned for updates! hashtag#NebulaBlock hashtag#GTC2025 hashtag#AI hashtag#Serverless hashtag#NVidia hashtag#CSP

Follow Us for the latest updates via our official channels:

Website: nebulablock.com
Twitter: @nebulablockdata
Discord: Join the Community
Blog: https://www.nebulablock.com/blog
Medium: https://nebulablock.medium.com
LinkedIn: https://www.linkedin.com/company/nebula-block
YouTube: https://youtube.com/channel/UCkiFox7uP-vKn-ZSpFomz2A

Qwen2.5-Omni-7B: Versatile Multimodal AI for Next-Gen Applications

The world of AI continues to evolve at lightning speed, and with the release of Qwen2.5-Omni-7B, we’re witnessing a leap toward seamless multimodal interaction. Developed by the team behind Qwen at Alibaba Cloud, this 7-billion-parameter model isn't just another large language model (LLM)—it's

LLaMA 4: Open-Weight Giant or Overhyped Drop? Nebula Block’s Perspective

Meta's LLaMA 4 Breakdown: Should You Deploy It Now? Meta's latest large language model release, LLama 4, has shaken up the AI community with its impressive claims and headline-grabbing benchmarks. But with great promise comes great scrutiny, and the question arises: should infrastructure providers like Nebula

Nebula block has been selected to be Canada’s delegation to VivaTech 2025

Exciting news from Nebula Block! 🇨🇦🚀 We’re honored to share that Nebula Block has been selected as part of Canada’s official delegation to VivaTech 2025 in Paris! 🇫🇷✨ As one of the leading AI infrastructure and serverless API providers, we’re proud to represent Canada on the global stage, showcasing

Unlocking Advanced NLP with Nebula Block Embeddings: A Technical Deep Dive

Introduction Nebula Block’s Embeddings Endpoint empowers developers to harness state-of-the-art text representation models for tasks like semantic search, RAG (Retrieval Augmented Generation), and content classification. This article explores its architecture, integration workflows, and practical applications, with a focus on bridging the gap between research and production. What Are Embeddings?

Read more

Qwen2.5-Omni-7B: Versatile Multimodal AI for Next-Gen Applications

LLaMA 4: Open-Weight Giant or Overhyped Drop? Nebula Block’s Perspective

Nebula block has been selected to be Canada’s delegation to VivaTech 2025

Unlocking Advanced NLP with Nebula Block Embeddings: A Technical Deep Dive