All Updates

All Updates

icon
Filter
M&A
SoftBank acquires UK AI chipmaker Graphcore to improve AI capabilities
Edge Computing
Jul 11, 2024
This week:
Funding
Foodsi raises EUR 1.2 million in seed funding extension to expand operations
Food Waste
Yesterday
Funding
RYAM raises USD 700 million in debt financing from Oaktree Capital Management
Bio-based Materials
Yesterday
Management news
Consensys conducts layoffs citing regulatory battles and market pressure
Enterprise Blockchain Solutions
Yesterday
Management news
Consensys conducts layoffs citing regulatory battles and market pressure
Web3 Ecosystem
Yesterday
Funding
HOMEE raises USD 12 million in Series C funding to develop smart claims management platform
InsurTech: Infrastructure
Yesterday
Product updates
Snap launches simplified version of Snapchat to drive user engagement; adds new AI features
Creator Economy
Yesterday
Partnerships
Bloomreach partners with Planet to offer unified commerce personalization solution
Marketing Automation
Yesterday
Partnerships
Criteo partners with OMS providers and Salesforce to enhance retail media network solutions
Marketing Automation
Yesterday
Product updates
Basware launches Insights platform with GenAI capabilities to enhance touchless invoicing
Business Expense Management
Yesterday
Product updates
HiBob launches learning and development module Bob Learning to enhance workforce capability
Remote Work Infrastructure
Yesterday
Edge Computing

Edge Computing

Jul 11, 2024

SoftBank acquires UK AI chipmaker Graphcore to improve AI capabilities

M&A

  • SoftBank has acquired UK-based AI chip startup Graphcore. Graphcore has developed a new type of processor called an "intelligence processing unit" (IPU) designed specifically for AI workloads.

  • With the acquisition, SoftBank aims to bolster its AI capabilities and tap into the growing demand for AI hardware. Graphcore will operate as a wholly-owned subsidiary of SoftBank, retaining its name, headquarters in Bristol, and additional offices in the UK, Poland, and Taiwan.

  • Graphcore's IPUs are pitched as a more efficient alternative to traditional GPUs like those from NVIDIA. The IPUs are designed to support large-scale parallel processing and execute complex machine-learning models with tight coupling between the model and data.

Contact us

Gain access to all industry hubs, market maps, research tools, and more
Get a demo
arrow
menuarrow

By using this site, you agree to allow SPEEDA Edge and our partners to use cookies for analytics and personalization. Visit our privacy policy for more information about our data collection practices.