Puget Systems

We've built benchmarks for Premiere, After Effects, Photoshop, DaVinci Resolve, and more. Yesterday we launched one that's been a long time coming: Puget Bench for Unreal Engine.

The challenge with benchmarking UE is that no two users are doing the same thing. A game dev building an open world stresses hardware completely differently than a virtual production studio rendering cinematic content in real time even though they're both using the same engine.

So we built around real workflows:
🔧 Shader compilation
🖥️ Viewport performance
🎬 Movie Render Queue output
📦 Asset processing
💡 Lighting builds

The goal isn't a flashy score; it's data that tells you exactly what to upgrade to improve your specific workflow.

Read the full blog post and join the beta program below.
And if you're heading to Unreal Fest in Chicago next week, come find us! We'll be showing this off live!

Is AI just a bubble?

Maybe but if your team is actually using AI to get work done, the more important question is whether you have enough compute to keep up.

In this article Dustin makes the case that AI is becoming a new layer of compute, and the bottleneck is moving from the model itself to the machine running it. That matters a lot once your workflows need privacy, low latency, and serious VRAM.

Read more:

The Shovel is Real: Why AI is the New Layer of Compute GTC was intense, and there is a massive debate raging right now: Is AI a bubble? Is Jensen just a shovel salesman? Or are we looking at the new bedrock?

The Intel Arc Pro B70 is a good example of why GPU buying decisions should start with the workload.

If you need a strong all-around pro GPU for apps like Premiere, After Effects, or Revit, there are better options. But if you need lots of VRAM for AI inference and local model work, the B70’s 32GB of VRAM starts to look very appealing.

Full review:

Intel Arc Pro B70 Review How does Intel's new Arc Pro B70 32GB professional GPU stack up against the competition in media editing, rendering, AI, CAD, and BIM applications?

The Intel Arc Pro B70 is a reminder that not every GPU is built to do the same job.

The B70 brings something interesting to the table: 32GB of VRAM at a price that makes multi-GPU AI workstations more realistic. That matters if your team is trying to run larger models locally or reduce cloud dependency.

In traditional creative and engineering apps, the B70 is more mixed. It’s fine in some workflows, competitive in others, and not the right choice if you need the strongest all-around GPU for Premiere, After Effects, or Revit. But if your priority is AI inference and memory capacity, that changes the conversation.

That’s the real benefit: this card gives teams another way to build for local AI without jumping straight to the most expensive options.

Full review:

Intel Arc Pro B70 Review How does Intel's new Arc Pro B70 32GB professional GPU stack up against the competition in media editing, rendering, AI, CAD, and BIM applications?