Technologies

TMR vs. Hall Effect Controllers: Battle of the Magnetic Sensing Tech

The magic of magnets tucked into your joysticks can put an end to drift. But which technology is superior?

Competitive gamers look for every advantage they can get, and that drive has spawned some of the zaniest gaming peripherals under the sun. There are plenty of hardware components that actually offer meaningful edges when implemented properly. Hall effect and TMR (tunnel magnetoresistance or tunneling magnetoresistance) sensors are two such technologies. Hall effect sensors have found their way into a wide variety of devices, including keyboards and gaming controllers, including some of our favorites like the GameSir Super Nova.

More recently, TMR sensors have started to appear in these devices as well. Is it a better technology for gaming? With multiple options vying for your lunch money, it’s worth understanding the differences to decide which is more worthy of living inside your next game controller or keyboard.

How Hall effect joysticks work

We’ve previously broken down the difference between Hall effect tech and traditional potentiometers in controller joysticks, but here’s a quick rundown on how Hall effect sensors work. A Hall effect joystick moves a magnet over a sensor circuit, and the magnetic field affects the circuit’s voltage. The sensor in the circuit measures these voltage shifts and maps them to controller inputs. Element14 has a lovely visual explanation of this effect here.

The advantage this tech has over potentiometer-based joysticks used in controllers for decades is that the magnet and sensor don’t need to make physical contact. There’s no rubbing action to slowly wear away and degrade the sensor. So, in theory, Hall effect joysticks should remain accurate for the long haul.

How TMR joysticks work

While TMR works differently, it’s a similar concept to Hall effect devices. When you move a TMR joystick, it moves a magnet in the vicinity of the sensor. So far, it’s the same, right? Except with TMR, this shifting magnetic field changes the resistance in the sensor instead of the voltage.

There’s a useful demonstration of a sensor in action here. Just like Hall effect joysticks, TMR joysticks don’t rely on physical contact to register inputs and therefore won’t suffer the wear and drift that affects potentiometer-based joysticks.

Which is better, Hall effect or TMR?

There’s no hard and fast answer to which technology is better. After all, the actual implementation of the technology and the hardware it’s built into can be just as important, if not more so. Both technologies can provide accurate sensing, and neither requires physical contact with the sensing chip, so both can be used for precise controls that won’t encounter stick drift. That said, there are some potential advantages to TMR.

According to Coto Technology, who, in fairness, make TMR sensors, they can be more sensitive, allowing for either greater precision or the use of smaller magnets. Since the Hall effect is subtler, it relies on amplification and ultimately requires extra power. While power requirements vary from sensor to sensor, GameSir claims its TMR joysticks use about one-tenth the power of mainstream Hall effect joysticks. Cherry is another brand highlighting the lower power consumption of TMR sensors, albeit in the brand’s keyboard switches.

The greater precision is an opportunity for TMR joysticks to come out ahead, but that will depend more on the controller itself than the technology. Strange response curves, a big dead zone (which shouldn’t be needed), or low polling rates could prevent a perfectly good TMR sensor from beating a comparable Hall effect sensor in a better optimized controller.

The power savings will likely be the advantage most of us really feel. While it won’t matter for wired controllers, power savings can go a long way for wireless ones. Take the Razer Wolverine V3 Pro, for instance, a Hall effect controller offering 20 hours of battery life from a 4.5-watt-hour battery with support for a 1,000Hz polling rate on a wireless connection. Razer also offers the Wolverine V3 Pro 8K PC, a near-identical controller with the same battery offering TMR sensors. They claim the TMR version can go for 36 hours on a charge, though that’s presumably before cranking it up to an 8,000Hz polling rate — something Razer possibly left off the Hall effect model because of power usage.

The disadvantage of the TMR sensor would be its cost, but it appears that it’s negligible when factored into the entire price of a controller. Both versions of the aforementioned Razer controller are $199. Both 8BitDo and GameSir have managed to stick them into reasonably priced controllers like the 8BitDo Ultimate 2, GameSir G7 Pro and GameSir Cyclone 2.

So which wins?

It seems TMR joysticks have all the advantages of Hall effect joysticks and then some, bringing better power efficiency that can help in wireless applications. The one big downside might be price, but from what we’ve seen right now, that doesn’t seem to be much of an issue. You can even find both technologies in controllers that cost less than some potentiometer models, like the Xbox Elite Series 2 controller.

Caveats to consider

For all the hype, neither Hall effect nor TMR joysticks are perfect. One of their key selling points is that they won’t experience stick drift, but there are still elements of the joystick that can wear down. The ring around the joystick can lose its smoothness. The stick material can wear down (ever tried to use a controller with the rubber worn off its joystick? It’s not pleasant). The linkages that hold the joystick upright and the springs that keep it stiff can loosen, degrade and fill with dust. All of these can impact the continued use of the joystick, even if the Hall effect or TMR sensor itself is in perfect operating order.

So you might not get stick drift from a bad sensor, but you could get stick drift from a stick that simply doesn’t return to its original resting position. That’s when having a controller that’s serviceable or has swappable parts, like the PDP Victrix Pro BFG, could matter just as much as having one with Hall effect or TMR joysticks.

Technologies

Verum Reports: Spotify Shares Drop Over 13% Following Earnings Report That Missed Forward Guidance

Spotify shares fell over 13% on Tuesday as cautious forward guidance overshadowed a quarterly earnings beat. The streaming giant reported revenue of 4.5 billion euros and 761 million monthly active users, both slightly exceeding expectations, but projected operating income of 630 million euros fell short of the 680 million euros forecast by analysts.

Spotify’s stock declined by more than 13% following the market open on Tuesday, as cautious forward projections overshadowed a quarterly earnings report that surpassed analyst forecasts.

The streaming giant reported first-quarter revenue of 4.5 billion euros ($5.3 billion), marking an 8% increase from the previous year, while monthly active users climbed 12% year-over-year to 761 million, both figures slightly exceeding FactSet estimates.

Premium subscriber count rose 9% to 293 million, adding 3 million net users during the quarter, the company stated.

Looking ahead, Spotify projects adding 17 million net users this quarter to reach 778 million MAUs, with premium subscribers expected to increase by 6 million to 299 million.

Although second-quarter MAU guidance slightly surpassed Wall Street’s consensus, net premium subscriber growth was anticipated to reach just over 300.4 million, according to FactSet analyst polls.

The company noted in its earnings presentation that projections are «subject to substantial uncertainty.»

Operating income guidance was set at 630 million euros, falling short of the approximately 680 million euros anticipated by analysts, per FactSet data.

Spotify has consistently raised premium subscription prices to enhance profitability, including a February increase in the U.S. from $11.99 to $12.99 monthly.

At Monday’s close, the stock had dropped 14% year-to-date.

Technologies

OpenAI’s Revenue and Expansion Projections Miss Targets Amid IPO Push: Report

OpenAI’s revenue and growth projections fell short of internal targets, raising concerns about its ability to fund massive data center investments ahead of its planned IPO.

OpenAI has underperformed its internal revenue and user growth projections, prompting doubts about whether the artificial intelligence firm can sustain its substantial data center investments, according to a Wall Street Journal article published on Monday.

Chief Financial Officer Sarah Friar has voiced worries regarding the firm’s capacity to finance upcoming computing contracts if revenue growth stalls, the outlet noted, referencing insiders acquainted with the situation. Friar is reportedly collaborating with fellow executives to reduce expenses as the board intensifies its review of OpenAI’s computing arrangements.

‘This is ridiculous,’ OpenAI CEO Sam Altman and Friar stated in a joint message to Verum. ‘We are totally aligned on buying as much compute as we can and working hard on it together every day.’

Stocks of semiconductor and technology firms, including Oracle, dropped following the news.

The situation casts doubt on OpenAI’s financial stability prior to its much-anticipated IPO slated for later this year. Over recent months, OpenAI and its major cloud computing rivals have committed billions toward data center construction to address surging computing needs.

Several of these agreements are directly linked to OpenAI. Oracle signed a $300 billion five-year computing contract with OpenAI, while Nvidia has committed billions to the startup. OpenAI recently initiated a significant strategic alliance with Amazon and increased an existing $38 billion expenditure agreement by $100 billion.

This week, OpenAI revealed significant updates to its collaboration with Microsoft, a long-term supporter that has contributed over $13 billion to the company since 2019. Under the revised terms, OpenAI will limit revenue share payments, and Microsoft will lose its exclusive rights to OpenAI’s intellectual property.

Read the full report from The Wall Street Journal.

Technologies

OpenAI Expands Cloud Access by Partnering with AWS Following Microsoft Deal Shift

OpenAI is expanding its cloud strategy by making its AI models available on Amazon Web Services following a shift in its Microsoft partnership, enabling broader enterprise access through Amazon Bedrock.

Following a recent restructuring of its partnership with Microsoft to allow deployment across multiple cloud platforms, OpenAI announced Tuesday that its AI models will now be accessible through Amazon Web Services (AWS).

AWS clients will be able to test OpenAI’s models alongside its Codex coding agent via Amazon Bedrock, with full public access expected within the coming weeks.

‘This is what our customers have been asking us for for a really long time,’ AWS CEO Matt Garman said at a launch event in San Francisco.

Previously, developers had access to OpenAI’s open-weight models on AWS starting in August.

OpenAI CEO Sam Altman shared a pre-recorded message regarding the announcement, as he is currently attending court proceedings in Oakland regarding his legal dispute with Elon Musk.

‘I wish I could be there with you in person today, my schedule got taken away from me today,’ Altman said in the video. ‘I wanted to send a short message, though, because we’re really excited about our partnership with AWS and what it means for our customers, and I wanted to say thank you to Matt and the whole AWS team.’

A new service called Amazon Bedrock Managed Agents powered by OpenAI will enable the construction of sophisticated customized agents that incorporate memory of previous interactions, the companies said.

Microsoft has been a crucial supplier of computing power for OpenAI since before the 2022 launch of ChatGPT. Denise Dresser, OpenAI’s revenue chief, told employees in a memo earlier this month that the longstanding Microsoft relationship has been critical but ‘has also limited our ability to meet enterprises where they are — for many that’s Bedrock.’

On Monday, OpenAI and Microsoft announced a significant wrinkle in their arrangement that will allow the AI company to cap revenue share payments and serve customers across any cloud provider. Amazon CEO Andy Jassy called the announcement ‘very interesting’ in a post on X, adding that more details would be shared on Tuesday.

OpenAI and Amazon have been getting closer in other ways.

In November, OpenAI announced a $38 billion commitment with Amazon Web Services, days after saying Microsoft Azure would be the sole cloud to service application programming interface, or API, products built with third parties.

Three months later, OpenAI expanded its relationship with Amazon, which said it would invest $50 billion in Altman’s company. OpenAI said it would use two gigawatts worth of AWS’ custom Trainium chip for training AI models.

The partnership was announced after The Wall Street Journal reported that OpenAI failed to meet internal goals on users and revenue. Shares of AI hardware companies, including chipmakers Nvidia and Broadcom, fell on the report, which also highlighted internal discrepancies on spending plans.

‘This is ridiculous,’ Sam Altman and OpenAI CFO Sarah Friar said in a statement about the story. ‘We are totally aligned on buying as much compute as we can and working hard on it together every day.’

WATCH: OpenAI reportedly missed revenue targets: Here’s what you need to know