Really glad to be working with @alibaba_cloud.
Looking forward to what we build together from here, and to giving our clients a better and more rigorous service!
AI models evolve weekly. Your infra shouldn't have to.
With Alibaba Cloud, @InfronAI scales open-source models like Qwen with dedicated capacity across 5 global regions, provisioned in days with verifiable placement.
Read now: click.alibabacloud.com/m/200…
#Qwen #AI #LighthouseCustomerStories
See you tomorrow at Open Infra Night! luma.com/jsu2t3ad
This Thursday, we’re co-hosting Open Infra Night for Agent Builders with @struktoai and @XTrace_ai.
📅 Oct 22 · 17:00–20:30 PT
📍 San Francisco
RSVP: luma.com/jsu2t3ad
#OpenSourceAIWeek #infron
MiniMax M3.1 Flash is now live on Infron ⚡
Try it: infron.ai/models/minimax/min…
MiniMax M3.1 Flash: Space Performance + Bunny Speed
🚀🐰 Yes, Space Bunny - which has topped global leaderboards with 200T+ tokens - was an earlier version of M3.1 Flash.
💰Redefining the performance economics of agentic AI. M3.1 Flash achieves frontier-level intelligence across key tasks such as Cowork (Automation-Bench: 62%; ALE: 30%), Coding (DeepSWE: 74%) and Visual Reasoning (BabyVision: 91%), at 1/3 the cost of M3 and 3x the speed.
API pricing (flat rate): $0.15 / $0.60 per 1M input/output tokens, with cache reads at $0.015 / 1M tokens.
Model weights will arrive on Oct 23.
API: platform.minimax.io
M Plan: minimax.io/m-plan
MiniMax Code for desktop: agent.minimax.io/download
We’ve open-sourced the NVIDIA DGX Spark GB10 Testing Suite. 👀
More throughput ≠ faster responses for every user.
Peak specs ≠ real-world latency.
Two GB10 nodes. Reproducible tests. Real-world inference benchmarks.
➡️ GitHub: github.com/InfronAI/NVIDIA-D…
➡️ Benchmark breakdown: infron.ai/blog/nvidia-dgx-sp…
#Infron #Benchmark
Infron provides Grok Imagine Image 2.0 at 20% off the listed xAI Standard rate.
Text-to-image generation: $0.032 per generation, down from $0.04.
Explore the model and current pricing:
infron.ai/models/x-ai/grok-i…
#infrondiscounts #Grok
Excited to support AgentVFS as a sponsor. The idea of giving AI agents a familiar way to work with service through files and shell commands is really inspiring.
Congrats to the team on the release, and a special thank-you to @cdxy_ and @AndrewHan_Zheng for contributing. Looking forward to seeing what the community builds with it!
We're releasing AgentVFS, a virtual filesystem interface for AI agents agentvfs.org/
AgentVFS unifies every service into one interface and replaces the need of calling MCP. Stored data becomes one virtual filesystem across services, described by VFS.md, and actions become virtual CLIs, so the agent no longer calls MCP tools at all. AI agents work on live data across every service through the terminal-like interface they know best. They use the Unix tools they learned in training (ls, grep, jq, pipes, loops) and the terminal workflows they practiced in post-training on agentic coding.
We're also releasing VFS-Bench 1.0 agentvfs.org/benchmark/vfs-b…, the first systematic study and benchmark to compare a virtual filesystem with MCP on the same tasks. Compared with MCP, AgentVFS uses up to 88% fewer tokens and has about a 5% higher success rate on average.
173 discounted models. 13 model families. 👀
Explore the latest discounts across GPT, Gemini, Qwen, DeepSeek, GLM and more.
Download the full pricing list in Excel or CSV for easy comparison.
Need volume pricing? infron.ai/contact
Explore discounts: infron.ai/dashboard/discount
#infrondiscounts
Two Qwen models, free on Infron.
• Qwen3.8 27B Uncensored
• Qwen3.8 27B Abliterated Cyber
$0 input. $0 output.
Explore the free models:
infron.ai/models?free=true
$5+ balance required. No credit deductions. Usage limits apply.
#infrondiscounts #Qwen
This Thursday, we’re co-hosting Open Infra Night for Agent Builders with @struktoai and @XTrace_ai.
📅 Oct 22 · 17:00–20:30 PT
📍 San Francisco
RSVP: luma.com/jsu2t3ad
#OpenSourceAIWeek #infron
Other speakers:
→ Dewey Fang, Tech Lead for TensorRT Model Connect at NVIDIA
nvidia.com/en-us
→ Vishvesh Bhat, Co-founder at CoreThink AI
corethink.ai
→ Yuan He, Applied Scientist at Amazon Rufus
aboutamazon.com
→ Christine Hu, Co-founder & CEO at Philo Labs
philolabs.ai
→ Yiwen Yuan, Former AI Dev Acceleration Team Lead at xAI
x.ai/
→ Neo Zhang, Co-founder & CEO at DaoBrew AI
daobrew.ai
→ Simantak Dabhade, DevRel & Growth at TinyFish
tinyfish.ai
From the co-hosting teams:
→ Zecheng Zhang @zechengzh, Founder & CEO at @struktoai : strukto.ai
→ Lawrence Xu @cdxy_ , Co-founder & CEO at @InfronAI : infron.ai
→ Felix Meng @felixmeng_ , Co-founder & CEO at @XTrace_ai : xtrace.ai
DeepSeek V4.1 Flash is available on Infron at 60% off. 🎉
Explore the model and current pricing:
infron.ai/models/deepseek/de…
#infrondiscounts #DeepSeek
Joining us:
Dewey Fang · nvidia.com/en-us/
Simantak Dabhade · tinyfish.ai/
Grace Gong (TBC) · smartventuremedia.com/
Yuan He · Amazon Rufus · aboutamazon.com/
Christine Hu · philolabs.ai/
Yiwen Yuan (formerly xAI) · x.ai/
Strukto is the virtual environment layer for AI agents: virtualized terminal, filesystem, CLIs and runtimes that work on any infrastructure. Its core, Mirage, is open source (Apache 2.0).
Infron AI provides AI infrastructure and inference services for open-source models, from serverless and elastic capacity to dedicated and custom deployments.
XTrace helps engineers spend less time correcting agents and more time shipping. It shares lessons across the team, helps enforce coding standards, and exposes wasted token spend.
Tomorrow, we’re co-hosting Agents in Production with @oodleai and @XTrace_ai !
If you’re building agents, come join us for a panel, 4 builder demos, and food. We’d love to hear what you’re working on.
📅 Tuesday, Oct 20
🕒 17:30 - 20:00 PT
📍 Mountain View, CA
RSVP: luma.com/sxuh5nj3
#infron #OpenSourceAIWeek
Meet your hosts for the evening:
Zecheng Zhang · Strukto AI
strukto.ai/
Lawrence Xu (@cdxy_) · Infron
infron.ai/
Felix Meng · XTrace
xtrace.ai/
At @techweeksg , we found the AI infrastructure conversation extending well beyond compute.
At the event, Ally from our GTM team represented Infron in conversations with teams working on AI accelerators, cloud platforms, enterprise software, network performance and security.
Those conversations covered different parts of the stack, but one practical issue kept coming up:
How can teams benefit from a growing choice of models and providers without taking on more integration and operational work?
More choice should not mean more complexity.
This is what we are building at Infron: one OpenAI-compatible API that gives developers access to supported models and providers, with routing, fallbacks, usage and billing managed in one place.
The infrastructure can change without forcing teams to rebuild the application around it.
Explore Infron: infron.ai/
#infron #TechWeekSingapore
Thank you to the @techweeksg for the invitation and for bringing so many parts of the ecosystem together.




















