FLUX.2 Dev
Sub-second image generation. 4x faster than PyTorch torch.compile.
Generate and edit high-quality images from text prompts — in under a second. Modular compiles the full FLUX.2 pipeline into a single optimized graph. Optimized on NVIDIA B200s and AMD MI355X.
<1s
Generation time
4.1x
$0.001
per image
GPUs
NVIDIA or AMD
Modular Performance⚡️ vs. PyTorch Diffusers
No visible image quality loss ✅
The figure below shows the results from both torch.compile (left) and Modular's MAX Framework (right). The image quality is virtually identical, while the performance of MAX is noticeable - a 4x that of torch.compile. The tolerance for image quality is configurable, and we are able to get good quality images in sub-second. This opens up a large amount of workflows that were otherwise blocked because the lack of almost real time image generation.
99% Cheaper than Nano Banana 🍌
Why Modular outperforms
Deploy Anywhere. Run Optimally.
We’ll handle the autoscaling of your traffic across hardware. Our AI infrastructure runs across NVIDIA and AMD without code changes, so future flexibility is also baked in.
Supported hardware:
Full production support for the following NVIDIA GPUs
B200
H200
H100
A100
Full production support for the following AMD GPUs
MI355X
MI300X
MI250X
MI210
Achieve 30-60% lower costs with Modular on AMD hardware - Read More
Coming soon:
Custom accelerators - let us know what you want!
Hardware Independence = Business Resilience
Why Portability Matters to Your Business:
Choice & Flexibility
Not locked to single GPU vendor. Drive 30-60% cost savings. Better supply availability. Flexibility of deployment.
Risk Mitigation
No single point of failure. Multi-cloud without complexity. Platform vendor independence.
Deployment Flexibility:
Our Cloud or Yours
Deploy on our cloud or in your own environment, with the same capabilities and performance.
See Deployment Options
Why teams are switching to Modular
“~70% faster compared to vanilla vLLM”
"Our collaboration with Modular is a glimpse into the future of accessible AI infrastructure. Our API now returns the first 2 seconds of synthesized audio on average ~70% faster compared to vanilla vLLM based implementation, at just 200ms for 2 second chunks. This allowed us to serve more QPS with lower latency and eventually offer the API at a ~60% lower price than would have been possible without using Modular’s stack."
Igor Poletaev
Chief Science Officer - Inworld
Latest customer case studies:
Start building!
Get Sandbox Access
Evaluate real performance and reliability in a live environment before committing to a deployment path.
Pre-configured DeepSeek V3 environment
100M free inference tokens
14-day full-featured trial
Talk to us!
Get expert guidance on architecture, performance tradeoffs, and migration paths tailored to your system.
Architecture review
Performance validation
Migration planning
Custom demo of FLUX.2
We'll show you Modular's benchmarks on workloads similar to yours.
Thank you for your submission.
Your report has been received and is being reviewed by the Sales team. A member from our team will reach out to you shortly.
Thank you,
Modular Sales Team
Thank you for your submission.
Your report has been received and is being reviewed by the Sales team. A member from our team will reach out to you shortly.
Thank you,
Modular Sales Team
Developer Approved
works across the stack
scrumtuous
“Mojo can replace the C programs too. It works across the stack. It’s not glue code. It’s the whole ecosystem.”
impressed
justin_76273
“The more I benchmark, the more impressed I am with the MAX Engine.”
potential to take over
svpino
“A few weeks ago, I started learning Mojo 🔥 and MAX. Mojo has the potential to take over AI development. It's Python++. Simple to learn, and extremely fast.”
one language all the way through
fnands
“Tired of the two language problem. I have one foot in the ML world and one foot in the geospatial world, and both struggle with the 'two-language' problem. Having Mojo - as one language all the way through is be awesome.”
easy to optimize
dorjeduck
“It’s fast which is awesome. And it’s easy. It’s not CUDA programming...easy to optimize.”
pure iteration power
Jayesh
"This is about unlocking freedom for devs like me, no more vendor traps or rewrites, just pure iteration power. As someone working on challenging ML problems, this is a big thing."
high performance code
jeremyphoward
"Mojo is Python++. It will be, when complete, a strict superset of the Python language. But it also has additional functionality so we can write high performance code that takes advantage of modern accelerators."
huge increase in performance
Aydyn
"C is known for being as fast as assembly, but when we implemented the same logic on Mojo and used some of the out-of-the-box features, it showed a huge increase in performance... It was amazing."
The future is bright!
mytechnotalent
Mojo destroys Python in speed. 12x faster without even trying. The future is bright!
actually flies on the GPU
Sanika
"after wrestling with CUDA drivers for years, it felt surprisingly… smooth. No, really: for once I wasn’t battling obscure libstdc++ errors at midnight or re-compiling kernels to coax out speed. Instead, I got a peek at writing almost-Pythonic code that compiles down to something that actually flies on the GPU."
feeling of superpowers
Aydyn
"Mojo gives me the feeling of superpowers. I did not expect it to outperform a well-known solution like llama.cpp."
surest bet for longterm
pagilgukey
“Mojo and the MAX Graph API are the surest bet for longterm multi-arch future-substrate NN compilation”
impressive speed
Adalseno
"It worked like a charm, with impressive speed. Now my version is about twice as fast as Julia's (7 ms vs. 12 ms for a 10 million vector; 7 ms on the playground. I guess on my computer, it might be even faster). Amazing."
completely different ballgame
scrumtuous
“What @modular is doing with Mojo and the MaxPlatform is a completely different ballgame.”
was a breeze!
NL
“Max installation on Mac M2 and running llama3 in (q6_k and q4_k) was a breeze! Thank you Modular team!”
amazing achievements
Eprahim
“I'm excited, you're excited, everyone is excited to see what's new in Mojo and MAX and the amazing achievements of the team at Modular.”
performance is insane
drdude81
“I tried MAX builds last night, impressive indeed. I couldn't believe what I was seeing... performance is insane.”
very excited
strangemonad
“I'm very excited to see this coming together and what it represents, not just for MAX, but my hope for what it could also mean for the broader ecosystem that mojo could interact with.”
Community is incredible
benny.n
“The Community is incredible and so supportive. It’s awesome to be part of.”
12x faster without even trying
svpino
“Mojo destroys Python in speed. 12x faster without even trying. The future is bright!”
Sign up today
Signup to our Cloud Platform today to get started easily.
Sign Up
Browse open models
Browse our model catalog, or deploy your own custom model
Browse models
.png)
.png)
