Data as of Aug 25, 2026 · Based on 46 AI responses from ChatGPT Search and Google AI Mode · See how Parse measures this
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If the goal is minimum mobile image bandwidth, I’d prioritize services that combine object storage + edge resizing + automatic WebP/AVIF negotiation, rather than simply putting JPEGs in a bucket behind a CDN.
| Service | Storage | WebP/AVIF | On-the-fly resize | Best for |
|---|---|---|---|---|
| Cloudflare R2 + Images/Transformations | R2 | WebP + AVIF | Yes | Best overall cost/control |
| Cloudinary | Managed media storage | WebP + AVIF + other formats | Yes | Best turnkey image pipeline |
| ImageKit | Managed storage/integrations | WebP + AVIF | Yes | Simple developer experience |
| S3 + CloudFront | S3 | Via image-processing layer | Yes, with setup | AWS-native architectures |
This is particularly attractive if you're starting from an object-storage architecture.
You can keep originals in R2 and have Cloudflare Images/Transformations resize and convert them at the edge. Cloudflare explicitly supports automatically delivering AVIF or WebP based on the client, with fallback to the original format.
Cloudflare also documents using Images with external origins such as S3-compatible buckets, so you don't necessarily have to migrate your existing image library.
For mobile, the important part isn't just WebP/AVIF: resize before delivery. Sending a 3000px photo to a 390px phone—even as AVIF—is still wasteful. Cloudflare supports responsive, on-demand resizing.
Best architecture:
R2 original → Cloudflare Image Transformation → resize + AVIF/WebP → edge cache → phone
Cloudinary is probably the easiest if you don't want to assemble the image pipeline yourself.
Its q_auto automatically chooses image quality and f_auto chooses an appropriate delivery format for the requesting browser. Cloudinary can deliver AVIF or WebP when appropriate.
It also has mobile-specific SDK support for automatically selecting formats appropriate to the device/OS.
A typical strategy is essentially:
original → resize → q_auto → f_auto → CDN
Cloudinary even gives an example where a JPEG of 33.5 KB becomes 14.6 KB as AVIF or 16.1 KB as WebP after optimization. Actual savings will vary substantially with image content and dimensions.
Pick this if: developer time and image-processing features matter more than minimizing infrastructure/vendor cost.
ImageKit combines image processing with CDN delivery; its CDN uses Amazon CloudFront, with images cached at edge locations.
It's a good choice when you want the Cloudinary-style experience without building an image transformation pipeline yourself.
S3 is excellent object storage and CloudFront is excellent CDN infrastructure, but S3 + CloudFront alone isn't an image optimization solution. CloudFront primarily gets the existing object closer to the user.
To get the same bandwidth benefits, you'd need to add an image transformation layer that generates the appropriate dimensions/formats.
So I'd choose this architecture when you already have AWS infrastructure and want maximum control—not because it's the simplest way to achieve WebP/AVIF delivery.
For a mobile-heavy app:
Best cost/control: R2 + Cloudflare Images/Transformations
Best turnkey: Cloudinary
Best simple alternative: ImageKit
Best AWS-native: S3 + CloudFront + image transformation service
One important point: AVIF/WebP is only half the optimization. For mobile bandwidth, I'd implement all three:
Cloudinary specifically recommends combining automatic quality and format selection, while Cloudflare's image pipeline supports automatic format selection plus responsive resizing.
If you tell me your stack (e.g. S3, R2, Firebase Storage, Supabase, or a mobile app with React Native/Flutter/iOS/Android), I can recommend the cheapest architecture and URL strategy for it.
You can keep originals in R2 and have Cloudflare Images/Transformations resize and convert them at the edge. Cloudflare explicitly supports automatically delivering AVIF or WebP based on the client, with fallback to the original format.
Cloudflare also documents using Images with external origins such as S3-compatible buckets, so you don't necessarily have to migrate your existing image library.
For mobile, the important part isn't just WebP/AVIF: resize before delivery. Sending a 3000px photo to a 390px phone—even as AVIF—is still wasteful. Cloudflare supports responsive, on-demand resizing.
Best architecture:
R2 original → Cloudflare Image Transformation → resize + AVIF/WebP → edge cache → phone
Cloudinary is probably the easiest if you don't want to assemble the image pipeline yourself.
Its q_auto automatically chooses image quality and f_auto chooses an appropriate delivery format for the requesting browser. Cloudinary can deliver AVIF or WebP when appropriate.
It also has mobile-specific SDK support for automatically selecting formats appropriate to the device/OS.
A typical strategy is essentially:
original → resize → q_auto → f_auto → CDN
Cloudinary even gives an example where a JPEG of 33.5 KB becomes 14.6 KB as AVIF or 16.1 KB as WebP after optimization. Actual savings will vary substantially with image content and dimensions.
Pick this if: developer time and image-processing features matter more than minimizing infrastructure/vendor cost.
ImageKit combines image processing with CDN delivery; its CDN uses Amazon CloudFront, with images cached at edge locations.
It's a good choice when you want the Cloudinary-style experience without building an image transformation pipeline yourself.
S3 is excellent object storage and CloudFront is excellent CDN infrastructure, but S3 + CloudFront alone isn't an image optimization solution. CloudFront primarily gets the existing object closer to the user.
To get the same bandwidth benefits, you'd need to add an image transformation layer that generates the appropriate dimensions/formats.
So I'd choose this architecture when you already have AWS infrastructure and want maximum control—not because it's the simplest way to achieve WebP/AVIF delivery.
For a mobile-heavy app:
Best cost/control: R2 + Cloudflare Images/Transformations
Best turnkey: Cloudinary
Best simple alternative: ImageKit
Best AWS-native: S3 + CloudFront + image transformation service
One important point: AVIF/WebP is only half the optimization. For mobile bandwidth, I'd implement all three:
To best reduce mobile image bandwidth using modern next-gen formats like WebP and AVIF , the top-performing architectures usually combine high-performance object storage with an edge-optimized Image CDN that handles on-the-fly format negotiation, resizing, and compression based on the requesting mobile device’s Accept headers.
The top-tier choices break down into all-in-one managed image platforms, zero-egress cloud storage + edge CDN combinations , and traditional hyperscaler stacks.
format=auto.q_auto ) and smart cropping tailored for small screens. It delivers AVIF/WebP seamlessly, though it gets expensive at scale compared to infrastructure-level CDNs.Accept: image/avif or image/webp header to convert or route to a compressed variant.imgproxy ), making it heavier to maintain than modern edge alternatives.Comparison Summary for Mobile Bandwidth
| Service Combination | AVIF / WebP Support | Egress / Bandwidth Cost | Implementation Complexity |
|---|---|---|---|
| Cloudflare R2 + Images | Automatic (Edge negotiation) | Very Low (Zero egress on R2) | Low / Moderate |
| Bunny.net + Bunny Optimizer | Automatic | Very Low | Low |
| Cloudinary | Automatic & Advanced AI | Moderate / High (Usage-based) | Low |
| AWS S3 + CloudFront | Requires custom setup (Lambda/Worker) | Standard AWS Egress fees | High |
If you can share your approximate monthly storage volume, traffic scale (GB/TB) , and whether you are using WordPress or a custom backend , I can recommend the most cost-effective setup for your team.
If the goal is minimum mobile image bandwidth, I’d prioritize services that combine object storage + edge resizing + automatic WebP/AVIF negotiation rather than simply putting JPEGs behind a CDN.
| Service | WebP | AVIF | On-the-fly resize | Object storage | Best for |
|---|---|---|---|---|---|
| Cloudflare Images + R2 | ✅ | ✅ | ✅ | ✅ R2 | Best overall integrated stack |
| Cloudinary | ✅ | ✅ | ✅ | Managed media storage | Easiest sophisticated image pipeline |
| Bunny.net Storage + Optimizer | ✅ | ⚠️ | ✅ | ✅ | Low-cost, high-volume delivery |
| AWS S3 + CloudFront + image optimization | ✅ | ✅* | ✅* | ✅ | AWS-native architectures |
| imgix + S3/R2/etc. | ✅ | ✅ | ✅ | External origin | Excellent image transformation/CDN layer |
Cloudflare R2 + Images/Transformations + CDN is probably the strongest combination if you're building a mobile app or API and want to minimize bandwidth without managing image variants yourself.
Cloudflare can resize/crop images on demand and automatically select AVIF, WebP, or JPEG/PNG based on browser support. Its format=auto mechanism handles the format negotiation, while responsive transformations let you request only the dimensions actually needed.
The particularly useful architecture is:
Original → R2 → Cloudflare edge transformation → AVIF/WebP → mobile client
That means you don't need to store image-320.webp, image-640.webp, image-1080.webp, etc. as separate originals.
Cloudinary is excellent if images are a major part of the product and you want sophisticated transformations, quality optimization, responsive delivery, and media management without assembling the infrastructure yourself.
Its f_auto automatically chooses an appropriate format such as AVIF or WebP, while q_auto automatically chooses image quality. Cloudinary's own current example shows a JPEG dropping from about 0.68 MB to 0.16 MB using q_auto/f_auto.
It also automatically delivers through its CDN infrastructure, with Akamai, Fastly, or Cloudflare used depending on region.
Best when: your product needs things like cropping, face-aware transformations, responsive variants, media management, uploads, and advanced optimization—not merely cheap storage.
Bunny is compelling when cost matters heavily and you don't need Cloudinary's enormous transformation feature set.
Bunny Optimizer can dynamically resize/compress images and automatically deliver WebP; Bunny advertises up to 80% image-size reduction.
Its current Optimizer pricing is a flat $9.50/month per website, with CDN bandwidth charged separately.
I'd pick it for a high-volume application where you want a simple:
Bunny Storage → Bunny CDN/Optimizer → mobile
setup.
S3 is excellent as the durable object store and CloudFront is excellent as the CDN, but AWS requires more assembly for an optimal image pipeline.
For example, you can put an image transformation service/Lambda or an image proxy in front of S3, cache transformed variants in CloudFront, and negotiate AVIF/WebP based on the client's Accept header.
This can be extremely scalable, but I'd choose it primarily when your existing infrastructure is already AWS-centric. For a greenfield image-heavy application, Cloudflare or Cloudinary generally requires less engineering.
imgix is particularly good if you already have an object store and want a specialized image CDN/transformation layer. You keep originals in S3, R2, GCS, etc., and imgix handles resizing, quality, format conversion, and edge delivery.
It's a strong choice when you want maximum control over image URLs and transformations without building the transformation service yourself.
For a new mobile-heavy application:
🥇 Cloudflare R2 + Cloudflare Images/Transformations Best balance of storage, CDN, AVIF/WebP, resizing, simplicity, and cost.
🥈 Cloudinary Best if images are a core product feature and you want the least image-processing engineering.
🥉 Bunny Storage + Optimizer Best if minimizing infrastructure cost is the dominant concern.
The important part is that WebP/AVIF alone isn't enough. A 4000×3000 AVIF can still be enormous on a phone. The biggest bandwidth win usually comes from combining:
correct dimensions + AVIF/WebP + automatic quality + CDN caching + lazy loading
For example, don't send a 2000px image to a 390px-wide phone display just because the source happens to be 2000px.
One Cloudflare-specific caveat: its newer image transformation path supports format=auto for AVIF/WebP, whereas Polish's WebP feature is a different mechanism; Cloudflare explicitly recommends format=auto when using image transformations.
If you tell me your approximate monthly image storage, monthly image GB served, and whether this is iOS/Android or a web app, I can narrow this down to the cheapest architecture and estimate the bandwidth savings.
When the goal is drastically cutting mobile image bandwidth using next-gen formats like AVIF and WebP, specialized Image CDNs paired with object storage outperform standard raw object storage (like AWS S3 or Google Cloud Storage) alone. Standard object storage just holds the files, whereas Image CDNs handle dynamic resizing, device-tailored compression, and automated Accept header content negotiation on the fly.
Top-tier services excelling at minimizing mobile bandwidth through automated WebP/AVIF delivery include:
f_auto ), it detects the mobile device's capabilities and instantly serves AVIF for supported browsers (like Chrome/Android) and WebP as a robust fallback, reducing file sizes by up to 50–80% compared to legacy JPEG/PNG.Accept headers and dynamically convert images to WebP/AVIF via an on-the-fly image handler. This requires more engineering overhead to maintain than Cloudinary or ImageKit, but scales infinitely for enterprise apps.Format Efficiency Breakdown for Mobile
If you want to narrow this down, let me know:
I can recommend the most cost-effective architecture for your setup.
Reducing mobile image bandwidth using next-gen formats like WebP and AVIF works best when you pair a reliable object store with a specialized Image CDN that handles content negotiation (inspecting the browser's Accept: image/avif, image/webp header on the fly).
The top-performing object storage and image CDN combinations are categorized below by budget, developer experience, and scale.
Top Image CDN & Optimization Services
f_auto ) and quality optimization (q_auto ), dynamically selecting AVIF or WebP.Recommended Object Storage Backends
To help narrow down the ideal stack, tell me:
If your main goal is minimizing mobile image bandwidth, I’d prioritize services that do on-demand resizing + automatic format negotiation (AVIF/WebP) + CDN caching. Simply putting WebP files in object storage is less effective because you still need to choose the right dimensions and format per device.
| Service | Object storage | AVIF/WebP auto-delivery | On-demand resize | CDN | Best for |
|---|---|---|---|---|---|
| Cloudflare R2 + Images | R2 | Yes | Yes | Yes | Best price/control combination |
| Cloudinary | Built-in | Yes | Excellent | Yes | Easiest sophisticated image pipeline |
| AWS S3 + CloudFront | S3 | Possible, but requires more architecture | Via image-processing layer | Yes | AWS-native stacks |
| Bunny Storage + Optimizer/CDN | Storage | Yes | Yes | Yes | Cost-conscious, simple CDN setup |
For a new application, this is probably the combination I'd choose.
You can keep high-quality originals in R2, then use Cloudflare Images transformations to dynamically:
Cloudflare explicitly recommends the R2 + Images architecture when you want control over storage and transformations, and describes it as typically the more cost-effective approach.
The particularly useful part is format=auto: Cloudflare chooses the most efficient format supported by the requesting browser. AVIF is preferred where practical, with WebP/JPEG fallbacks.
Architecture:
mobile device → Cloudflare CDN → transformed/cached AVIF/WebP → R2 original
That's a very good fit for user-uploaded images.
Cloudinary is arguably the strongest turnkey option.
Its f_auto automatically selects an appropriate format for the requesting browser, while q_auto automatically chooses image quality. Cloudinary's documentation gives an example where a 0.68 MB JPEG falls to about 0.16 MB with q_auto/f_auto.
It also handles resizing, cropping, responsive variants, transformations, storage, caching, and CDN delivery.
A typical strategy is effectively:
original → resize → q_auto → f_auto → CDN
Cloudinary can deliver AVIF or WebP depending on the client, with fallback formats when necessary.
Choose it if: developer time and image-processing sophistication matter more than minimizing infrastructure cost.
S3 + CloudFront is excellent for storing and caching originals, but it's not inherently an image optimization solution.
You'll generally need to add something such as an image transformation service/function in front of S3 to produce:
So the AWS architecture can be very powerful, but it's more engineering than Cloudflare Images or Cloudinary.
I'd pick it when your application already has substantial AWS infrastructure and you want everything under one cloud/security/billing model.
Bunny's Storage + CDN + Optimizer combination is worth considering when CDN/storage cost is a major concern and you want a relatively straightforward setup.
It's particularly attractive for high-volume image delivery where you don't need Cloudinary's extensive transformation ecosystem.
The biggest mistake is thinking:
JPEG → WebP/AVIF = optimized The bigger win is:
Original 4000×3000 → 800×600 AVIF/WebP appropriate to the device For example, don't send a 3 MB 4000px photograph to a phone displaying it at 390px wide. Even a beautifully compressed AVIF is wasteful if its dimensions are 10× larger than necessary.
I'd implement roughly:
Original
│
├── desktop: 1600px
├── tablet: 1000px
├── mobile: 640px
└── thumbnail: 320px
│
▼
quality optimization
│
▼
AVIF if advantageous
WebP fallback
JPEG fallback
│
▼
CDN cache
Also use srcset/sizes so the browser requests the appropriate width rather than downloading a large image and scaling it locally.
For a new mobile-heavy application:
One important distinction: object storage is where you keep the originals; the CDN/image transformation layer is what actually reduces mobile bandwidth. If bandwidth reduction is the primary objective, I'd spend more effort on automatic sizing and format negotiation than on the choice of bucket itself.
To significantly reduce mobile image bandwidth, the modern gold standard relies on AVIF (delivering up to 50% smaller sizes than JPEG and 20--30% smaller than WebP) with WebP as a ubiquitous fallback. Browser support for AVIF sits near 95%, covering virtually all modern mobile and desktop operating systems.
The most effective object storage and image CDN combinations feature built-in content negotiation (reading the browser's Accept header to dynamically serve AVIF, WebP, or legacy JPEG on the fly).
Top Image CDN & Object Storage Services
Implementation Strategies for Mobile Bandwidth
Accept: image/avif, image/webp header to serve the optimal format automatically.<picture> element to serve AVIF first, WebP second, and compressed JPEG/PNG as a final safety net for older legacy environments.If you can share your current object storage provider (e.g., AWS S3, Google Cloud, self-hosted) and estimated monthly image traffic , I can recommend the most cost-effective CDN architecture for your stack.
If the goal is minimum mobile image bandwidth, I’d prioritize services that combine object storage + edge resizing + automatic WebP/AVIF negotiation, rather than merely putting JPEGs behind a CDN.
| Service | Storage | WebP / AVIF | On-the-fly resizing | Best for |
|---|---|---|---|---|
| Cloudflare R2 + Images | R2 | WebP + AVIF | Yes | Best overall cost/control |
| Cloudinary | Managed media storage | WebP + AVIF | Yes, excellent | Easiest sophisticated image pipeline |
| ImageKit | Managed media storage/origin integrations | WebP + AVIF | Yes | Simple developer experience |
| S3 + CloudFront + image processor | S3 | WebP/AVIF via processing layer | Yes | AWS-native architectures |
| Bunny.net Storage + Optimizer | Object storage | WebP/AVIF | Yes | Cost-conscious CDN-heavy workloads |
Cloudflare is particularly attractive if you're starting from object storage.
R2 is S3-compatible object storage with no egress fees, and Cloudflare Images can sit in front of R2, resize images at the edge, and automatically deliver AVIF or WebP based on the client.
The architecture is essentially:
Mobile app → Cloudflare CDN/Images → R2
You can keep a single high-quality original and request, for example, a 400px-wide version rather than shipping the original 3000px photo. Cloudflare generates and caches the transformed version at the edge.
A particularly nice aspect is that Cloudflare can automatically choose AVIF → WebP → original-format fallback depending on browser support.
Best when: bandwidth costs and simplicity matter, and you're comfortable with Cloudflare.
Cloudinary is probably the strongest choice if you want the image pipeline largely solved for you.
Its q_auto automatically selects an appropriate quality level, while f_auto selects the best format for the requesting browser. Depending on the request, Cloudinary can deliver AVIF, WebP, JPEG XL, or a fallback format.
For mobile, this is particularly useful because you can combine:
resize → automatic quality → automatic format
Cloudinary's documentation explicitly recommends q_auto + f_auto for image delivery.
One caveat: its automatic AVIF behavior can depend on plan/account configuration, and automatic transformations can increase transformation usage even while reducing bandwidth.
Best when: you want the least image-infrastructure engineering and have a substantial media pipeline.
ImageKit provides CDN delivery and image processing, with CloudFront behind its media delivery infrastructure.
It's attractive when you want URL-based transformations without building your own transformation service.
Best when: you want something simpler than building Cloudflare/AWS infrastructure but still want dynamic resizing and modern formats.
For a new mobile application, I'd choose:
R2 + Cloudflare Images
and store one original per photo.
Then make the client request approximately the dimensions it actually needs:
Original: 4032 × 3024 JPEG
↓
Mobile request: 828 × 621
↓
AVIF/WebP
↓
CDN cache
That's more important than WebP/AVIF alone. Sending a 4K AVIF to a phone when the UI displays it at 400–800px is still wasteful. Cloudflare specifically supports responsive resizing and automatic modern-format conversion.
Best overall: Cloudflare R2 + Images
Best turnkey: Cloudinary
Best simple managed alternative: ImageKit
Best if you're deeply AWS-centric: S3 + CloudFront + an image transformation layer
Best budget-oriented CDN alternative: Bunny Storage + Optimizer
One important distinction: if by "mobile" you mean a native iOS/Android app rather than a mobile website, the optimal setup changes somewhat because you can negotiate formats directly in the app. Cloudinary, for example, specifically recommends AVIF for newer Android and different formats depending on iOS/Android versions.
If the goal is minimum mobile image bandwidth, I’d prioritize services that combine object storage + edge resizing + automatic AVIF/WebP negotiation, rather than merely putting S3-style storage behind a CDN.
| Service | Storage | AVIF/WebP auto-delivery | Mobile resizing | Best fit |
|---|---|---|---|---|
| Cloudflare R2 + Images | ✅ R2 | AVIF + WebP | Excellent | Best overall price/control |
| Cloudinary | ✅ Built-in | AVIF + WebP | Excellent | Easiest sophisticated image pipeline |
| imgix + object storage | ❌ External | AVIF + WebP | Excellent | Premium image CDN |
| Bunny Storage + Optimizer | ✅ | WebP + AVIF support | Very good | Low-cost CDN/optimization |
| S3 + CloudFront + image transformer | ✅ S3 | Possible, but more DIY | Very good | AWS-native architectures |
This is particularly attractive if you already want object storage. Cloudflare explicitly recommends R2 for storage plus Images for transformations when you want control over the storage layer. Images can dynamically resize and convert originals to AVIF/WebP at the edge.
A particularly useful feature for mobile is width=auto: Cloudflare can select an appropriate width using Client Hints or device detection, with mobile/desktop defaults and configurable breakpoints. format=auto negotiates AVIF → WebP → conventional formats as appropriate.
Architecture I'd use:
R2 original → Cloudflare Images transform → CDN cache → mobile browser
This avoids storing separate 320px/480px/768px/AVIF/WebP copies yourself.
One nice cost property: Cloudflare says the format part counts as one unique transformation even when different users receive AVIF vs WebP, while cached repeats aren't repeatedly counted as unique transformations.
Cloudinary is arguably the easiest if images are a major part of your product and you don't want to assemble the pipeline yourself.
Its q_auto + f_auto combination automatically chooses quality and format based on the requesting browser. Depending on the browser/configuration, the result can be AVIF, WebP, or a fallback format. Cloudinary also performs dynamic resizing.
Their own current documentation gives an example where a JPEG of 0.68 MB becomes about 0.16 MB with q_auto/f_auto—roughly 75% smaller—though actual savings depend heavily on the image.
For a mobile-heavy app, this combination is particularly compelling:
original → resize to actual display width → q_auto → f_auto → CDN
The important point is that format conversion alone isn't enough. Sending a 3000px-wide AVIF to a 390px phone still wastes substantial bandwidth.
imgix is a strong choice when you already have images in S3/GCS/etc. and want a specialized image-processing CDN in front of them.
Its auto=format automatically serves AVIF to browsers that support it and falls back to an appropriate format otherwise. imgix also provides real-time device/browser optimization and edge caching.
It's especially attractive for organizations that want a mature image URL transformation API while keeping their existing object storage.
Bunny is worth considering if cost is a major factor. Bunny Optimizer automatically handles image optimization and device-specific sizing, and its current Dynamic Images API supports both WebP and AVIF output.
The catch is that AVIF is currently described as Public Preview, whereas WebP is the more mature automatic-optimization path.
So I'd choose Bunny particularly when low cost + simple CDN operation matters more than having the most mature AVIF/image-transformation platform.
For most new applications:
Cloudflare R2 + Images
For an image-heavy SaaS/e-commerce platform where developer convenience matters most:
Cloudinary
For existing S3/GCS storage + a premium image CDN:
imgix
For very cost-sensitive workloads:
Bunny Storage + Optimizer
For an organization already deeply invested in AWS:
S3 + CloudFront, but expect more engineering if you want Cloudinary/imgix-like automatic transformation and format negotiation.
Don't optimize around WebP vs. AVIF alone. For mobile, the hierarchy is roughly:
q_auto-style behavior).For example, sending a 1200×800 JPEG to a phone displaying it at 390×260 is wasteful even if you convert that JPEG to AVIF. A CDN that can dynamically produce roughly the required width and select AVIF/WebP is therefore substantially more valuable than a service that merely converts JPEG → WebP.
My short answer: Cloudflare R2 + Images is probably the best balance of storage, CDN, automatic AVIF/WebP, responsive sizing, and control in 2026. Cloudinary is the strongest alternative if you want the image-management layer to be more turnkey.
Reducing mobile image bandwidth using next-generation formats like AVIF (typically 50–60% smaller than PNG/JPEG) and WebP (25–35% smaller) is best achieved by decoupling raw storage from optimization delivery . Instead of storing multiple static variations of every image, the optimal architecture uses a cost-effective Object Storage backend paired with an Image CDN / Edge Optimization layer that performs content negotiation (reading the mobile browser's Accept header to serve AVIF or WebP on-the-fly).
Top Object Storage Services (The Source Vault)
Top Image CDN & Edge Services (The Optimization Engine)
Accept header. If a mobile device supports AVIF (or WebP), it transcodes and delivers it directly from Cloudflare’s edge network.auto=format (AVIF/WebP) on demand.f_auto,q_auto ), it handles device-specific delivery of AVIF and WebP seamlessly.To help tailor this recommendation, could you share: