This feature benchmark dives into one of the top requests we received from our Patreon backers: Undervolt Vega: Frontier Edition and determine its peak power/performance configuration. The test roped us in immediately, yielding performance uplift largely across the board from preliminary settings tuning. As we dug deeper, once past all the anomalous software issues, we managed to improve Vega: FE Air’s power available to the core, reduce power consumption relative to this, and improve performance in non-trivial ways.

Although power target and core voltage are somewhat tied at the hip, both being tools for overclocking, they don’t govern one another. Power target offset dictates how much additional power budget we’re willing to provide the GPU core (from the power supply) in order to stabilize its clock. GPU Vcore governs the voltage supplied, and will generally range from 900 to 1250mv on Vega: FE cards.

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Vega’s native DPM configuration runs its final three states at 1440MHz, 1528MHz, and 1600MHz for the P-states, with DPM7 at 1600MHz/1200mv. This configuration is unsustainable in stock settings, as the core is both power-starved and thermally throttled (we’ll show this in a moment). The thermal limiter on Vega: FE is ~85C, at which point the power and clock will fluctuate hard to try and maintain control of the core temperature. The result is (1) spikey frequencies and frametime latencies, worsening perceived performance, and (2) reduced overall performance as frequency struggles to maintain even 1528MHz (let alone the advertised 1600MHz). To resolve for the thermal issue, we can either configure a more intelligent fan curve than AMD’s stock configuration or create a Hybrid card; unfortunately, we’re still left with a new problem – a power limit.

The power limit can be resolved in large part by offsetting power target by +50%. Making this modification is easy and “fixes” the issue of clock-dropping, but introduces (1) new thermal issues – resolvable by configuring a higher fan RPM, of course, and (2) absurdly high power consumption for a non-linear scaling in performance. In order to truly get value out of this approach, undervolting seems the next appropriate measure. AMD’s native core voltage is far higher than necessary for the card to operate at its 1600MHz target, and so lowering voltage improves performance from the out-of-box config. This is for thermal and power reasons alike. We ultimately see significantly reduced power consumption, to the tune of ~90W in some cases, a more stable core clock and thereby higher performance, and lower temperature – and thereby controllable noise.

Power BI is a powerful BI tool, but it sadly doesn't support Mac devices.

1. Then PowerDraw is the tool for you. It is particularly useful when giving presentations / lectures using a ModBook (this is a tablet MacBook). Here is an overview of the features: Overdraw mode.
2. Manually activating power management on Macs. Follow the instructions below for Mac OS X Version 10.4, nicknamed 'Tiger'. Steps for activating sleep settings in other versions of OS X will be very similar. Click on the apple symbol (Apple Menu) in the upper left of your screen. Go to 'System Preferences' Click 'Show All' (if necessary).

A couple of years ago, I was working for a company where 90% of our staff had a MacBook and loved it, but there was no way for our Data Team to work with Power BI to build out reporting. Then we turned into another tool named Holistics, a cloud-based one.

In this post, I will share my experiences implementing Power BI on Mac OS, which I hope is helpful to you if you are looking for a solution.

Disclaimer: I fell in love with Holistics at the previous company, and am now working for Holistics!

Since Power BI can't run on a Mac, here are our recommendations to run Power BI on Macintosh Devices.

1. Install and run Power BI on a Virtual Machine, then remote in to that Virtual Machine.
2. Install and run Power BI on a PC, then use a remote viewer to control that PC.
3. Use an alternative BI solution.
4. Install Windows on Mac using Boot Camp

To give you a little context about Microsoft's plan on supporting Power BI on Mac devices, they are not considering developing Power BI desktop for Mac devices anytime soon.

You can also visit this link to keep track of their upcoming plans.

You can set-up a Windows Virtual Machine on Azure, Google Cloud or AWS.

• Azure: https://azure.microsoft.com/en-us/services/virtual-machines/ (starting from $61/month)
• AWS: https://aws.amazon.com/getting-started/tutorials/launch-windows-vm/

Then you install and run Power BI on that Virtual Machine.

Finally, install Microsoft Remote Desktop for Mac on each device to give your team access to that VM.

There are a couple of disadvantages to this approach, however:

• It's difficult to control permission access and version history.
• You can only have one person working on a machine at a time, since Power BI for desktop is not a collaborative tool.

It's a little bit the same with the first method, however, this time, you use a physical machine.

You set-up a Windows PC, install and run Power BI on that PC.

Install TeamViewer, AnyDesk, or MS Remote Desktop to give people access to that PC and use Power BI from their Macs.

Cons: same with the first method, and you have to maintain a physical PC.

Power BI is powerful — it helps your team consolidate data and build dashboards and reports with a powerful data modeling layer. It's not easy to find a great tool in the market to replace Power BI, but here are two alternative solutions I recommend which is 100% cloud-based, can replicate its functionalities, and in some cases do even more.

1. Holistics

Holistics is a powerful full-stack data platform that allows companies to set up an end-to-end, reusable, and scalable data analytics stack with minimal engineering resources.

It not only gives data analysts a powerful SQL-based data modeling approach, but it also helps them build a data warehouse and automate reporting. Holistics is also designed to empowers non-technical users to get insights with a strong self-service analytics offering.

Holistics vs Power BI: https://www.holistics.io/compare/holistics-vs-powerbi/

2. Looker + StitchData

Looker is a business intelligence and big data analytics platform that helps you explore, analyze and share real-time business analytics easily.

Mac Os Download

Looker is also a powerful server-based Data Modeling BI tool, however, they don't support Data Transforms and Data Imports, so you will need another tool for that called StitchData. Together, you get all the power of Power BI with none of the Windows lock-in.

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Boot Camp is a utility that helps you install Microsoft Windows 10 on your Mac, then switch between macOS and Windows when restarting your Mac.

You can learn more about how to use it here

I like Power BI's product, but it is difficult to keep using Power BI given that the tool is built exclusively for the Windows Desktop. Instead of allowing your data team to work collaboratively, your data pipeline will depend on Windows. This is difficult and restrictive if your organization works primarily on Mac.

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The upshot here is that if you do not use a Microsoft-stack at your organization, a 100% cloud-based solution would be a better fit for your needs.