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3 weeks ago | 
blocksandfiles.com | David Gordon |Martin Courtney
SPONSORED POST: It’s not a question of if your organization gets hit by a cyberattack – only when, and how quickly it recovers. Even small amounts of application and service downtime can cause massive disruption to any business. So being able to get everything back online in minutes rather than hours, or even days, can be the key to resilience. But modern workloads rely on increasingly large volumes of data to function efficiently.
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4 weeks ago | 
blocksandfiles.com | Martin Courtney
SPONSORED FEATURE: Object storage used to trade performance for cost and scalability. With features like high performance, data intelligence, and simple management, HPE is updating the technology for modern use cases. When object storage first launched in the late 1990s, it enabled companies to tackle a perennial problem: how to store large amounts of data at low cost.
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1 month ago | 
blocksandfiles.com | Joseph Martins |Martin Courtney
SPONSORED FEATURE: AI is driving an explosion in infrastructure spending. But while GPU-enabled compute may grab the headlines, data management and storage are also central to determining whether enterprises ultimately realize value from their AI investments and drive broader transformation efforts. The worldwide AI infrastructure market is expected to hit $100bn by 2027, according to IDC.
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1 month ago | 
blocksandfiles.com | Martin Courtney
PARTNER CONTENT: As IT leaders move away from VMware, they face a critical decision: do they stick with traditional storage architectures, or is now the time to finally unlock the full potential of an infrastructure that converges virtualization, storage, and networking technologies? Early convergence efforts centered on hyperconverged infrastructure (HCI), where storage ran as a virtual machine under the hypervisor, commonly called a vSAN.
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1 month ago | 
blocksandfiles.com | Martin Courtney
SPONSORED FEATURE: Considering it has such a large share of the data protection market, Veeam doesn’t talk much about backups in meetings with enterprise customers these days. Instead, the company focuses on two other terms: data resilience, and data portability. This is a response to new threats that are emerging for enterprise customers – including some from vendors themselves. You’d be forgiven for thinking that data resilience was just another term for what we used to call business continuity.
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2 months ago | 
blocksandfiles.com | Joseph Martins |Martin Courtney
SPONSORED FEATURE: When it comes to artificial intelligence, it seems nothing succeeds like excess. As AI models become bigger and more capable, hyperscalers, cloud service providers, and enterprises are pouring cash into building out the storage and compute infrastructure needed to support them. The first half of 2024 saw AI infrastructure investment hit $31.8bn, according to IDC.
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2 months ago | 
blocksandfiles.com | David Gordon |Martin Courtney
SPONSORED POST: Accurate data is fundamental to the success of generative AI (GenAI) – and so is Retrieval-Augmented Generation (RAG). RAG can enhance the accuracy of GenAI workloads by processing large amounts of information pulled from external vector databases which the learning models at their core would not usually access. In doing so, it not only fine-tunes underling large (LLMs) and small language models (SLMs) by swapping in fresh data but also reduces the need to continually retrain them.
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2 months ago | 
blocksandfiles.com | Martin Courtney
SPONSORED FEATURE: Considering it has such a large share of the data protection market, Veeam doesn’t talk much about backups in meetings with enterprise customers these days. Instead, the company focuses on two other terms: data resilience, and data portability. This is a response to new threats that are emerging for enterprise customers – including some from vendors themselves. You’d be forgiven for thinking that data resilience was just another term for what we used to call business continuity.
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2 months ago | 
blocksandfiles.com | Joseph Martins |Martin Courtney
SPONSORED FEATURE: There can’t be many tech leaders who don’t realize that AI relies on vast amounts of data. Yet it’s not always clear that everyone has grasped just how fundamental their storage choices are to the success of their AI initiatives. It’s not for want of spending. The first half of 2024 saw organizations increase spending on compute and storage infrastructure for AI deployments by 37 percent to $31.8bn, according to research firm IDC.
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Jan 21, 2025 | 
blocksandfiles.com | Clint Boulton |Martin Courtney
COMMISSIONED: Among the many tough decisions IT leaders face is where to best host AI workloads. Whether you’re deploying traditional AI applications that predict supply chain performance or launching generative AI digital assistants that serve information to customers, the location options for such software are myriad. Yet the calculus has changed. For the first time in probably a decade, the public cloud is not necessarily the first destination that IT leaders turn to.
