Secure infrastructure
Use AI safely within your own environment, without sending confidential information outside your organization.
Introduction
Common challenges in embedded AI adoption
Fixstars Vega is designed to answer every one of them.
Challenge
How Fixstars Vega solves it
Data that cannot leave the premises
Source code and design documents cannot be sent to cloud AI, limiting where AI can help.
A high barrier to on-premises AI
Deploying and tuning the latest models for fast, team-wide response requires deep expertise.
Latest LLMs, ready to use
Open-weight LLMs verified and optimized by Fixstars are ready to use the moment the system is deployed.
Unpredictable cloud AI costs
Token-based billing grows with usage, making monthly costs difficult to forecast.
A flat monthly fee
A flat rate independent of usage volume keeps AI costs predictable and easy to manage.
Development speed isn't improving
AI handles test code and quick questions well, but full AI-driven development still falls short on quality and productivity.
AI built into your development process
A harness for using AI agents at every stage of development, raising your team's productivity.
What is Fixstars
Vega
What is Fixstars Vega?
A “secure AI appliance” that lets embedded development teams use AI without exposing code or design information externally. Four layers, delivered as a single appliance.
- Developer Tools
- Tools that support development, including a chat UI, coding agents, and a harness for performance optimization
- Management and Control
- A gateway to control access to AI models, a dashboard to visualize usage, and a repository to manage Skills and knowledge
- Open-Weight LLMs
- Verified open-weight LLMs optimized for your inference environment
- Secure Infrastructure
- On-premises GPU servers or a security-hardened cloud environment
Use Case
Built for developers'
Built for developers'
everyday work
AI chat, AI coding agents, and internal knowledge work together to support everyday development — investigation, implementation, review, testing, and maintenance.
Understanding existing code
Grasp the structure of legacy code, control logic, drivers, and middleware.
Referencing specs and design documents
Look up related specifications and past design decisions from your internal documents.
Generating and revising code
Write and fix C/C++, Python, test code, and build scripts.
Code review support
Review against coding standards, design rules, and past defect patterns.
Test creation and debugging
Build unit tests and error-path (negative) tests, analyze logs, and investigate root causes.
Performance engineering support
Analyze the processing performance of AI models and applications, identify bottlenecks, and explore ways to improve them.
Secure Infrastructure
Choose infrastructure
Choose infrastructure
for your security needs
We offer two deployment models, based on data sensitivity, location, and your operations setup: a private model on dedicated hardware, and a shared model you can reach over the API.
Private
On-premises
Dedicated hardware built inside your own facility.
Ideal for
Teams whose code must stay onsite
Private
Hosted
Dedicated hardware built and operated in our data center.
Ideal for
Teams that want security with less operational load
Private
VPC
A dedicated server and VPC on a partner GPU provider's infrastructure.
Ideal for
Teams that need a dedicated environment fast
Shared
Coming
soon
API
Remote access to a Fixstars-managed Vega instance.
Ideal for
Teams that want to get started quickly
Get Started
We'll recommend an AI development environment
that fits your security requirements and use cases.
Latest LLMs
Verified open-weight models,
Verified open-weight models,
ready to deploy
Open-weight model performance is advancing rapidly, making practical development support possible even with local LLMs. Fixstars Vega continuously provides verified open-weight models, tuned to your hardware configuration.
AI models we provide
GLM-5.2
- Top-tier coding performance among open-weight models
- Supports long-context input, ideal for large codebases
- No image input — best for text-centric work such as code generation and analysis
Qwen3.6-27B
- A compact 27B model that still delivers practical coding performance
- Outperforms the previous generation of large models
- Supports multimodal input, including images and video
* As of Aug 2026. The models we offer are updated regularly. GLM-5.2 may not be available depending on hardware configuration.
Performance comparison: open-weight vs. closed LLMs
Performance
A local LLM that doesn't keep your team waiting
Running public models as-is may not deliver sufficient performance for production use. Fixstars Vega optimizes the AI model inference infrastructure for simultaneous use across your team.
Standard deployment
Fixstars Vega
With 50 concurrent connections
Frequent request queuing
Almost no queuing
Time to first response in production
~59 sec
~3.8 sec
Optimizations applied
- 3.5x KV cache capacity
- DP Attention
- NVFP4
- KV-cache-aware routing
- CPU cache offloading
GLM-5.1 / NVIDIA H200 x8, 50 concurrent connections. "Standard deployment" is a TP=8 configuration with no parallelization tuning. Measured with a benchmark reproducing the distribution of 260 real sessions from our internal coding agent (P90 TTFT). Performance is not guaranteed.
Our optimization methods and full benchmark data are published in the white paper
Fixed Pricing
Unlimited use, fixed monthly fee.
Cloud AI is billed pay-as-you-go, so costs rise with usage. With Fixstars Vega, your monthly fee stays the same even as team usage grows.
Predictable budgeting
Costs aren't tied to usage, so you can forecast monthly spending.
No usage limits
Explore and experiment freely — including the deep dives your team used to give up on.
More use, more savings
As usage grows, the effective cost per use keeps falling.
Case Study —
Fixstars
The more AI you use, the wider the gap with pay-as-you-go.
Our own agentic AI rollout and improved models drove 10x usage growth in four months. Shifting to open-weight models has kept our actual spend down, but running the same volume entirely on pay-as-you-go would cost about $310K a month. With Fixstars Vega, the monthly fee stays the same however much usage grows.
10 x
AI usage growth in four months
92B tokens last week
$310K /month
If all usage were pay-as-you-go
Monthly estimate from last week's usage
Flat
Your Fixstars Vega monthly fee
Unchanged however much usage grows
Cost trend of our internal AI platform
$400
$300
$200
$100
$0
$310K
If our usage were entirely pay-as-you-go
$310K /month
Approx. $72,000/week
Monthly estimate based on our weekly consumption and actual unit prices. Actual spend is based on our real cloud AI invoices.
Get Started
A closer look at our AI costs.
The service brief walks through our actual usage and cost trends.
Performance
Engineering
A performance engineering harness
A performance engineering harness
for accelerating your applications
Built on 20+ years of Fixstars performance engineering expertise, the harness lets AI agents streamline analysis, improvement, and verification — with your engineers in the loop.
STEP 1
Performance profiling
STEP 2
Hardware and parallelization deep dive
STEP 3
Implementation and performance tuning
STEP 4
Verification and benchmarking
Repeat until the target performance is reached.
Speedups achieved with Fixstars Vega
4.7x End-to-end processing
Image segmentation pipeline
Manual optimization reached 3.6x in one month. With AI, the same pipeline reached 4.7x in three weeks — a better result for less effort.
3.95x Inference
SparseDrive, an open-source 3D object detection model for autonomous driving
Conventional manual optimization took about two person-months for 3.31x. Engineer-AI collaboration cut the effort to about one-eighth while delivering a higher speedup.
2.11x Training
ResNet-50 training
Applied bf16 mixed-precision quantization, NHWC memory format fixes, and torch.compile.
Download
Document
The speedup cases in full detail
The service brief covers the specific techniques, measurement conditions, development periods, and impact on accuracy.
Adoption Steps
From a 30-day trial to company-wide deployment
Move in stages: a 30-day trial after the seminar, then a group-level rollout, then company-wide deployment.
01
30-day remote trial
Try the model quality, speed, and harness before you decide.
- Environment
- API-based trial-only environment (remote access)
- Scale of use
- Limited to seminar participants
- AI models
- Full set of verified models
02
Initial deployment
Integrate into daily operations on a group-by-group basis.
- Environment
- Workstation type (dedicated)
- Scale of use
- 20–100 concurrent connections
- AI models
- Verified models (large models subject to hardware configuration)
03
Company-wide rollout
Roll out company-wide, with harnesses built for your own workflows.
- Environment
- Server type (dedicated)
- Scale of use
- 100–200 concurrent connections
- AI models
- Verified models (cutting-edge large models also available)
Get Started
Tell us about your current development environment,
and we'll propose the adoption steps that fit it.
Seminar
AI seminars matched to where you are
Two hands-on seminars for AI-driven development.
From
a first taste to working on your own team's challenges, choose the one that fits your goal.
1-Day Seminar
For a first hands-on taste
A hands-on walkthrough of the full AI-driven development workflow using the Fixstars Vega environment and tools. An evaluation environment is available afterward.
- Target audience
- Developers and leaders who want to try AI-driven development firsthand
- Duration
- 1 day
- Format
- Held at a Fixstars office
- Fee
- $500/person
2-Day Private Seminar
For teams working on their own challenges
We bring a secure AI development environment to your office, and experienced instructors run hands-on sessions on your own development challenges — enough to reach a decision in two days.
- Target audience
- Teams considering specific adoption (up to 20 people)
- Duration
- 2 days
- Format
- On-site at your company
- Fee
- Contact us
Get Started
Read the brief, or talk to an engineer.
From building a secure AI environment to team-wide adoption of AI-driven development — one-stop support for AI adoption in embedded development.
Get the service brief
A brief covering what Fixstars Vega offers: secure AI infrastructure, open-weight LLMs, flat-rate pricing, and AI built into your development process.
Download the briefTalk to an engineer
Ask about specific configurations, pricing, or how Fixstars Vega would run in your environment.
Contact usPrefer to try it hands-on first? See our seminars.