Fixstars

Speed up your Embedded AI.

[Fixstars @Fixstars_US]

[Event Report] Lab benchmarks don't equal real-world fleet reality. 🤖
https://t.co/zkhe49A3Pg

At the Embedded Vision Summit, leaders from Torc, Agility, and Simbe discussed scaling Edge AI under brutal power, latency, and cost constraints.

[Fixstars @Fixstars_US]

Fixstars Amplify now includes IonQ's quantum computing environment as a standard machine.
https://t.co/5SldP00JEy
The IonQ cloud simulator is free for Amplify account owners, with hardware access rolling out progressively.
99.99% gate fidelity. All-to-all connectivity.

[Fixstars @Fixstars_US]

How does Waymo scale to 500k+ weekly paid rides with a 92% reduction in injury crashes? 🚗
https://t.co/Rf416rFi57
This article shares key engineering takeaways from Waymo’s session at the Embedded Vision Summit:

- Multi-modal sensor fusion rules (LiDAR/Radar tracking pedestrians in zero-visibility dust storms)
- Massive computational burdens as AV stacks shift to Transformers & VLMs
- Zero remote steering; onboard deterministic control is mandatory to avoid cloud latency

[Fixstars @Fixstars_US]

Struggling to hit your embedded AI performance targets?
https://t.co/UbA7XEWWwF
Fixstars provides specialized AI model optimization to push your target hardware to its absolute limit, turning your prototype into a market-leading product.

Why Fixstars?
⚡ Hardware-Native Tuning: Maximize performance on SoCs, DSPs, and custom silicon.
🔒 Secure Infrastructure: Keep your proprietary data and models safe.
📈 Continuous Improvement: Sustained performance as your hardware and models evolve.

[Fixstars @Fixstars_US]

The joint research between Kioxia and Fixstars was presented at SIGMOD 2026, the premier international conference in the field of data management.
https://t.co/EYiqhNCRjc

Our collaborative study tackles a major infrastructure challenge: unlocking the potential of cost-effective, next-generation memory without sacrificing speed. By cleverly leveraging SSD I/O times to mask memory access delays, we successfully maintained 92% of traditional DRAM performance—even in a slower memory environment ✨

This breakthrough opens up new possibilities for building highly scalable, budget-friendly data infrastructures. At Fixstars, we remain committed to driving technological innovations that seamlessly balance low cost with high performance.

[Fixstars @Fixstars_US]

The model works in the cloud. Why does it fail on your SoC? 📉
https://t.co/s801RfpKKV
For embedded software teams, the gap between cloud environments and target hardware constraints (latency, power, memory) is a massive roadblock. Combine that with the security risks of sending proprietary C/C++ code to public cloud APIs, and standard AI solutions quickly fall apart.

In our next webinar, we break down how leading automotive and industrial teams are building secure, in-house AI environments and engineering for target hardware performance.

🗓️ June 24, 2026 | 12:00 PM - 12:40 PM PT
🎟️ Free to attend (Includes live Q&A)

Get practical engineering blueprints for bringing AI safely into your workflow.

[Fixstars @Fixstars_US]

Fixstars Amplify is teaming up with German quantum startup QUDORA to bring advanced ion-trap quantum computing to our optimization cloud platform. 🌌
https://t.co/amxbDrahk5

🔹 Integrates QUDORA’s long-life "clock qubits" for high-accuracy optimization algorithms (like QAOA).
🔹 Next-gen scaling capability built for practical, real-world industry use.
🔹 Get early access: Test their "Qamelion Emulator" right now through the Amplify SDK (free for up to 1 hr)!

[Fixstars @Fixstars_US]

Fixstars Solutions is honored to receive the "Excellence in AI & Technology Industry" award at AINext 2026 in Las Vegas!
We remain dedicated to building the high-performance foundations of the future. 🚀
https://t.co/Ixuw23BAFW

[Fixstars @Fixstars_US]

We’ve launched Amplify Quantum, a new extension to the Fixstars Amplify SDK.
https://t.co/vuyTsCWLhx
Connecting to IBM Quantum, Qulacs, and @awscloud Amazon Braket is now easier than ever. One unified codebase, multiple quantum providers. ⚛️💻

[Fixstars @Fixstars_US]

Running AI on embedded hardware but not hitting your performance targets?
https://t.co/gMNSpJCXSG
Fixstars ports, optimizes & validates AI models on your target silicon — with 20 years of embedded acceleration experience baked into an agentic pipeline. Your code stays in-house.

[Fixstars @Fixstars_US]

The gap between theoretical and measured latency is your optimization budget. 📉
https://t.co/J7hVXA6gb7

This article compares Jetson AGX Orin vs. Thor, highlighting:
- Orin: Best for mature CNN perception (INT8).
- Thor: Built for Physical AI and Transformers (Native FP4).
- The Risk: End-to-end pipeline latency can be up to 7x higher than GFLOPs-based estimates.

[Fixstars @Fixstars_US]

Hardware is only as good as the software running on it. ⚡️
https://t.co/cJRFOQXpSa

Fixstars bridges the gap with expert Performance Engineering, helping you unlock the full potential of CPUs, GPUs, and FPGAs. Reduce processing time, slash cloud costs, and scale your AI faster.

[Fixstars @Fixstars_US]

Join Fixstars for a webinar on AI Inside Embedded Development on May 27 at 12:00 PM PT.
https://t.co/OI69rAw7k8
🔹 Secure, in-house LLM environments
🔹 Real use cases
🔹 Optimizing AI for target SoCs (latency/power)

[Fixstars @Fixstars_US]

We're at Booth 16 at ODSC East in Boston! Stop by to learn about our performance engineering stack.
https://t.co/OMXE7SGzJG

[Fixstars @Fixstars_US]

GitLab × AWS dropped a pretty solid announcement — agentic DevSecOps that runs on your own Bedrock, so code stays in your AWS. Fixstars' COO got a quote in there too 👏
https://t.co/sjAiQdcU1g

[Fixstars @Fixstars_US]

The latest update to Fixstars AIBooster slashes AI training costs by up to 43% while accelerating hyperparameter search speeds by a staggering 16x💡
https://t.co/soaUstz21M

By leveraging new proprietary algorithms and a user-friendly no-code interface, developers can now achieve peak GPU performance without the manual trial and error. ⚡️ This means faster iterations, lower infrastructure costs, and more time to focus on building the next generation of AI 🌟

[Fixstars @Fixstars_US]

Is synthetic data the solution to your AI training bottleneck? 🤖💻
https://t.co/TYgwO4RWCO
Access to high-quality, diverse data is the biggest hurdle in scaling AI. While synthetic data offers a path forward, it isn't a "silver bullet." Without a strategic approach, you risk model drift, bias, or poor real-world generalization.

We’ve developed a Synthetic Data Decision Framework to help engineering leaders determine:
✅ When to supplement vs. when to replace real data.
✅ How to mitigate "model collapse" in iterative training.
✅ The ROI of synthetic generation vs. manual labeling.

If you are building for Edge, ADAS, or high-security environments where data is scarce or sensitive, this framework is for you.

[Fixstars @Fixstars_US]

Stop leaving performance on the table. ⚡️
https://t.co/e9q4lIdGjt
High latency and soaring cloud costs are often the result of unoptimized software. Fixstars Performance Engineering uses a proven "Observe & Improve" cycle to maximize your ROI on GPUs and AI infrastructure.

Scale faster. Spend less.

[Fixstars @Fixstars_US]

1,024 H100 GPUs. 42 spin orbitals. One world-record quantum chemistry simulation.
https://t.co/mu7M84Hxde
Fixstars × University of Osaka just broke the 40-qubit barrier for classical IQPE circuit simulation — paving the way for fault-tolerant quantum computing in drug discovery & materials science.

[Fixstars @Fixstars_US]

The question isn't "which LLM is best?" It's: which combination of models yields the best output for this task, at this cost?
https://t.co/mehZVQwYAu

We published a deep dive on constellation inference — running dozens of LLMs concurrently and fusing their outputs to break past the cost-accuracy Pareto frontier.