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WHTop → 📋 News → Backblaze to Deliver $335M Storage Capacity to AI Firm CoreWeave
Backblaze to Deliver $335M Storage Capacity to AI Firm CoreWeave
📅 - Backblaze has signed a five-year, $335 million multi-exabyte storage agreement with CoreWeave, adding lower-cost HDD-based capacity to parts of the AI cloud provider's managed storage infrastructure. The arrangement gives CoreWeave customers new object storage tiers without code changes, while underscoring a less glamorous constraint in AI infrastructure: where all the data actually sits during production workloads too.
For CoreWeave, the deal is not about headline GPU capacity. It is about the storage architecture surrounding that capacity. AI clouds are often discussed as if compute is the whole machine. It is not. Training runs, checkpoints, model outputs, retrieval-augmented [...][... Check source for end of article ...]
📅 - Schneider, HPE Lay Hybrid Cloud Groundwork for Software-Defined Automation - Schneider Electric and HPE are packaging industrial automation modernization as a managed service, combining Schneider's EcoStruxure Automation Expert with HPE SimpliVity infrastructure for factories, utilities, and other operators trying to update aging control systems without shutting production down. The offer targets a stubborn industrial problem - how to modernize operational technology while keeping plants running safely today.
Industrial automation has become one of the less glamorous bottlenecks in digital transformation. Everyone talks about AI in factories, autonomous plants, predictive maintenance, and software-defined operations. Then the conversation hits the control layer. [...]
📅 - Groq Raises $650 Million for AI Inference Cloud - Groq has secured $650 million in new funding as the AI infrastructure market increasingly pivots from model training toward inference, the stage where AI systems generate responses at scale. The company plans to use the capital to expand its global cloud footprint, deploy new NVIDIA-linked systems, and compete for a growing share of enterprise AI workloads worldwide.
The financing arrives at a moment when investors are recalibrating how they think about artificial intelligence infrastructure.
For the past several years, the industry's attention has largely centered on training. Bigger models. Larger GPU clusters. Ever-growing capital expenditures. Yet many infrastructure operators [...]
📅 - U.S. Quantum Coalition Targets Future Space Infrastructure - A new U.S.-led coalition bringing together quantum computing specialists, aerospace companies, researchers, and investors is attempting to tackle a problem that has lingered for years: quantum technology has generated impressive demonstrations, but far fewer operational systems.
The newly launched America's Quantum Space Initiative aims to accelerate deployment of quantum technologies in future space infrastructure, defense platforms, navigation systems, communications networks, and exploration missions across government and commercial markets.
For all the excitement surrounding quantum computing, many of the most immediate opportunities in space may have little to do with processing [...]
📅 - Telefónica Germany Builds Private Cloud for Telco Workloads - Telefónica Germany is expanding its relationship with Tech Mahindra to build a private cloud platform for telecom and enterprise workloads, underscoring a broader shift underway across the telecom industry. Operators increasingly want cloud-native flexibility and automation, but many remain reluctant to hand critical network infrastructure entirely to public cloud providers amid sovereignty, control, and resilience concerns today.
For years, telecom operators were told they should behave more like cloud companies. Virtualize network functions. Automate operations. Abstract hardware. Build software-driven infrastructure capable of launching services faster and operating more [...]
📅 - NetApp Targets AI Data Bottlenecks Beyond GPU Clusters - NetApp is expanding its AI infrastructure portfolio around a growing enterprise concern: GPUs are expensive, but poorly managed data may be even more costly. The storage and data management vendor is introducing new capabilities aimed at helping organizations move, govern, and feed massive AI workloads more efficiently across hybrid environments, as enterprise deployments begin scaling beyond pilot projects.
The AI infrastructure conversation has spent the last three years obsessing over compute.
NVIDIA chips. GPU clusters. Power capacity. Cooling systems.
All important. None of them particularly useful if organizations cannot find, govern, secure, move, and prepare the data those [...]
📅 - GitLab Finds AI Coding Boom Creating Control Gaps - GitLab has found that companies are adopting AI coding tools faster than they can control the software those tools produce, raising questions about provenance, security, and accountability inside enterprise development teams. The survey, conducted by Harris Poll, covered 1,528 developers and technology buyers and points to a widening gap between AI-assisted output and software governance controls.
The first wave of AI coding adoption was sold around speed. Faster developers. Shorter release cycles. Less repetitive work.
That part appears to be happening.
GitLab's research found that 78% of respondents said AI tools are helping teams write and commit code faster, while 79% reported [...]