Jeffrey Burt

2 weeks ago | nextplatform.com | Jeffrey Burt

For much of the two-plus years since ChatGPT hit the market and kicked off the generative AI frenzy, the market tilted toward well-resourced hyperscalers like Google, Amazon Web Services, and Microsoft as well as Tier 2 cloud service providers, with powerful – and expensive – accelerators and massive large language models like Meta’s Llama with 405 billion parameters. But that’s beginning to change as enterprise adoption continues to rise.

3 weeks ago | nextplatform.com | Jeffrey Burt

The rapid changes Broadcom instituted after buying virtualization stalwart VMware for $61 billion in late 2023 continue to shape the virtualization and cloud spaces, with some enterprises facing significant higher pricing, new licensing plans, and bunding options looking for alternatives, vendors offering them alternatives, and companies rolling out plans to help with the migrations.

1 month ago | nextplatform.com | Jeffrey Burt

For decades, discussions around quantum computing for decades has felt similar to family driving vacations, with someone in the back seat constantly asking “are we there yet?” And like those long drives, the answer usually has been “not yet, but soon,” with “soon” doing a lot of the work in the reply. That said, the vibe around the technology seems comparably different these days, with significant steps seemingly being made every week toward creating a useful, fault-tolerant quantum system.

1 month ago | nextplatform.com | Jeffrey Burt

Last year, amid all the talk of the “Blackwell” datacenter GPUs that were launched at last year’s GPU Technicval Conference, Nvidia also introduced the idea of Nvidia Inference Microservices, or NIMs, which are prepackaged enterprise-grade generative AI software stacks that companies can use as virtual copilots to add custom AI software to their own applications.

1 month ago | devops.com | Jeffrey Burt

AI hallucinations – the occasional tendency of large language models to respond to prompts with incorrect, inaccurate or made-up answers – have been an ongoing concern as the enterprise adoption of generative AI has accelerated over the past two years. They’re also an issue for developers using AI-based tools when building code, including generating names of packages that don’t exist.