venturebeat
ScaleOps' new AI Infra Product slashes GPU costs for self-hosted enterprise LLMs by 50% for early adopters

ScaleOps has expanded its cloud resource management platform with a new product aimed at enterprises operating self-hosted large language models (LLMs) and GPU-based AI applications. The AI Infra Product announced today, extends the company’s existing automation capabilities to address a growing need for efficient GPU utilization, predictable performance, and reduced operational burden in large-scale AI deployments. The company said the system is already running in enterprise production environments and delivering major efficiency gains for early adopters, reducing GPU costs by between 50% and 70%, according to the company. The company does not publicly list enterprise pricing for this solution and instead invites interested customers to receive a custom quote based on their operation si [...]

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venturebeat
Perplexity takes its ‘Computer’ AI agent into the enterprise, taking aim at Microsoft and Salesforce

Perplexity, the AI-powered search company valued at $20 billion, announced on Wednesday at its inaugural Ask 2026 developer conference that its multi-model AI agent, Computer, is now available to ente [...]

Match Score: 104.83

venturebeat
Why your LLM bill is exploding — and how semantic caching can cut it by 73%

Our LLM API bill was growing 30% month-over-month. Traffic was increasing, but not that fast. When I analyzed our query logs, I found the real problem: Users ask the same questions in different ways.& [...]

Match Score: 98.74

Destination
How to buy a GPU in 2025

One of the trickiest parts of any new computer build or upgrade is finding the right video card. In a gaming PC, the GPU is easily the most important component, and you can hamstring your experience b [...]

Match Score: 93.49

thenextweb
ScaleOps raises $130M to autonomously manage cloud and AI infrastructure

The New York and Israel-based startup, founded by a former Run:ai engineer and professional triathlete, has grown 350%+ year-on-year and counts Adobe, Wiz, DocuSign, and Salesforce among its customers [...]

Match Score: 89.94

venturebeat
GitHub leads the enterprise, Claude leads the pack—Cursor’s speed can’t close

In the race to deploy generative AI for coding, the fastest tools are not winning enterprise deals. A new VentureBeat analysis, combining a comprehensive survey of 86 engineering teams with our own ha [...]

Match Score: 86.98

venturebeat
Meta researchers introduce 'hyperagents' to unlock self-improving AI for non-coding tasks

Creating self-improving AI systems is an important step toward deploying agents in dynamic environments, especially in enterprise production environments, where tasks are not always predictable, nor c [...]

Match Score: 80.29

venturebeat
Self-improving language models are becoming reality with MIT's updated SEAL technique

Researchers at the Massachusetts Institute of Technology (MIT) are gaining renewed attention for developing and open sourcing a technique that allows large language models (LLMs) — like those underp [...]

Match Score: 72.95

venturebeat
Black Forest Labs' new Self-Flow technique makes training multimodal AI models 2.8x more efficient

To create coherent images or videos, generative AI diffusion models like Stable Diffusion or FLUX have typically relied on external "teachers"—frozen encoders like CLIP or DINOv2—to prov [...]

Match Score: 68.94

venturebeat
While everyone talks about an AI bubble, Salesforce quietly added 6,000 enterprise customers in 3 months

While Silicon Valley debates whether artificial intelligence has become an overinflated bubble, Salesforce's enterprise AI platform quietly added 6,000 new customers in a single quarter — a 48% [...]

Match Score: 68.74