Blaize

Last week, something exciting happened at Blaize Hyderabad: our very first Claude-a-ton. Led by Santiago Fernandez-Gomez (VP of Platform Engineering) and Kamal Jain (VP of Engineering), this fast-paced event brought teams together to reimagine how work gets done with AI. In just 60 minutes, teams from across the company came together to turn ideas into real, working solutions using AI. Not a coding contest. Not limited to engineering. This was creativity at scale. From software to HR, from infrastructure to pure imagination. What is Claude-a-ton? A fast-paced, theme-driven challenge where anyone with access to approved AI tools can go from idea to execution in under an hour. The goal: unlock innovation across every corner of the organization. And the results? Honestly, incredible. We saw projects that: 🔵 Cut onboarding time for complex SDKs from weeks to just 3 days 🔵 Eliminated GPU scheduling chaos with smart resource management 🔵Built real-time infrastructure monitoring with full observability 🔵Created entirely new experiences, from life decision simulators to AI-powered “therapy” for everyday objects All of this… in one hour. To recognize the creativity and impact, we awarded teams across categories like: ⚡ Innovation ⚡Efficiency ⚡Out-of-the-box Thinking Each pushing the boundaries of what’s possible when AI meets imagination. What stood out most wasn’t just the tools. It was the mindset. Claude-a-ton showed that AI isn’t just an engineering advantage. It’s a company-wide superpower. At Blaize, we’re not just adopting AI. We’re building a culture around it. Empowering every team, every role, and every individual to think differently, move faster, and create more. This is just the beginning. 👉 To see how Blaize is bringing AI innovation to the real world and to learn more about our platform and solutions: https://www.blaize.com #Blaize #AI #Innovation #FutureOfWork #ClaudeATon #GenAI #Hyderabad

Blaize is excited to share that our collaboration with Nokia and Datacomm Diangraha has reached a major milestone: transitioning from early-stage goals into deployed, revenue-generating AI infrastructure across Indonesia. This momentum was recently featured in Giacomo L.’s latest piece for SDxCentral. Together, we are helping organizations move beyond AI experimentation: 🔹 Real-World Deployment: Moving from framework agreements to active, revenue-generating infrastructure for enterprise and public sectors. 🔹 Cloud to Far Edge: Delivering high-performance hybrid AI inference with the efficiency and reliability required for production environments. 🔹 Regional Blueprint: Establishing Indonesia as the reference model for scalable AI expansion across the wider APAC region. As the demand for sovereign AI grows, we are proud to provide the compute element that turns vision into high-growth reality. Read the full SDxCentral piece here: https://lnkd.in/g-55cZFh #AIinference #HybridAI #EdgeAI #APAC #AIinfrastructure #Blaize #Nokia #DigitalTransformation #SovereignAI #Innovation #DatacommDiangraha (photo credit: Giacomo Lee/SDxCentral)

AI infrastructure doesn’t get built by incumbents—it gets built by those who move first. We’re seeing that play out in real time across edge AI in Asia Pacific. As demand shifts from pilots to full-scale deployment, the signals that matter aren’t legacy, they’re execution: real contracts, real deployments, real performance in production. That’s exactly what the Blaize × #NeoTensr partnership is delivering: • $70M+ in contracted value (Q4’25–2026) • 200+ camera streams per server with simultaneous LLM + VLM inference • Multiple edge AI data center deployments already underway across APAC This isn’t theoretical. It’s infrastructure being built and used today. As AI moves from experimentation to operational scale, the companies defining this layer are emerging now. Read more on what’s driving this shift and why it matters https://lnkd.in/gxyTnNrS #AIInfrastructure #EdgeAI #APAC #ComputerVision #GenerativeAI #Blaize

Today, Blaize announced a strategic collaboration with Nokia and Datacomm Diangraha to accelerate hybrid AI inference across #Indonesia and #SoutheastAsia. This three-way alliance brings together: 🔹 Nokia’s telco-grade networking and cloud-to-edge infrastructure 🔹 Blaize’s programmable, energy-efficient AI inference at the enterprise edge 🔹 Datacomm’s 30+ years of in-market infrastructure expertise Together, we are delivering a pre-validated technology and go-to-market stack that enables scalable, cost-effective AI deployment across public sector and enterprise environments. As AI adoption accelerates across Indonesia, the need for hybrid architectures is clear — GPU-powered infrastructure for cloud and telco workloads, combined with efficient, distributed edge AI. Blaize is purpose-built for this moment. With strong in-market demand and validated deployments, Indonesia becomes the launchpad for broader APAC expansion. This is how AI moves from promise to production at scale. Read the press release to learn more: #Blaize #BZAI #Nokia #Datacomm #AI #EdgeAI #DigitalTransformation #IndonesiaTech #Inference #EnterpriseAI #APAC #Infrastructure #Innovation

AI infrastructure is entering its hybrid era. ⚡ Today, Blaize, Nokia and Datacomm Diangraha officially announced a three-way strategic collaboration to accelerate hybrid AI inference deployments across #Indonesia and #SoutheastAsia, bringing together networking, compute, and regional infrastructure expertise into a single validated stack. This is about more than partnership. It reflects a broader market shift: moving from fragmented AI experimentation toward deployable, revenue-generating infrastructure at scale. Why this matters: 🔹 Three partners, one integrated stack — combining Nokia’s telco-grade networking, Blaize’s energy-efficient enterprise edge AI, and Datacomm’s 30+ years of infrastructure leadership in Indonesia 🔹Validated, production-ready architecture — through the Nokia Network Innovation Lab in Singapore, enabling pre-integrated AI compute, networking, security, and lifecycle automation 🔹Demand is here now — Datacomm is reporting a 50%+ surge in AI inference demand over the last six months, reinforcing the immediate need for scalable deployment models 🔹Hybrid is the architecture of the future — GPU-driven infrastructure for telco and cloud workloads, paired with Blaize inference platforms optimized for distributed enterprise edge deployments 🔹Indonesia as a launchpad for APAC — with deployments intended to serve as a blueprint for expansion across Vietnam, the Philippines, and the broader Southeast Asian corridor 🌏 The thesis is simple: no single compute model serves every AI workload. The next generation of AI infrastructure will be hybrid by design, placing the right compute in the right environment, balancing performance, power efficiency, and economics. That’s what this collaboration is built to deliver. And importantly, it signals where the conversation is moving:  From AI spend to AI monetization.  From pilots to infrastructure.  From experimentation to execution. 🚀 🔎 Read the full announcement: https://lnkd.in/gkrV2K53 #AIInfrastructure #HybridAI #EdgeAI #SovereignAI #EnterpriseAI #AIinAsia #Blaize #BZAI

The AI "Training" era is maturing. The "Inference" era is here. 📉 Value is shifting from how AI is built to how it is deployed. My top takeaways from the recent Nasdaq #TradeTalks with Dinakar Munagala and Harman Kaur: 🔹Performance over Size: Inference now creates more value (and profit) than training. 🔹Power is the Ceiling: Energy efficiency is the new prerequisite for scaling. 🔹Precision > Scale: Smaller, specialized models are winning on unit economics. 🔹The Edge Reality: AI is moving out of the cloud and into the real world—where data actually lives. Great discussion, Jill Malandrino. Full video video discussion: https://lnkd.in/gpU8_EZZ #AI #EdgeComputing #TechTrends #Nasdaq #BZAI

The era of “AI training at all costs” is over. 📉 It’s time for an Inference-First strategy. In a recent Nasdaq #TradeTalks session, Blaize CEO Dinakar Munagala joined Tanium CTO Harman Kaur and host Jill Malandrino to break down how the AI stack is being redefined, shifting from “bigger is better” to practical, scalable, and profitable deployment. The industry is hitting a tipping point where efficiency matters more than hype: 🚀 Inference > Training | The value of AI isn’t in how it’s built—but how it performs in the real world. Inference workloads are rapidly outpacing training. 🔋 Energy is the New Constraint | Power availability is now a limiting factor. The future belongs to AI infrastructure built for efficiency. 🎯 Specialization over Scale | Smaller, purpose-built models can deliver comparable accuracy—without the cost and overhead of massive general models. 🌍 Distributed & Edge-First | AI is moving beyond centralized cloud into real-world environments—closer to where data is created and decisions are made. The bottom line: if your AI strategy doesn’t deliver measurable ROI and strong unit economics, it won’t scale in the post-hyperscaler era. At Blaize, we’re building the hardware and software to power this shift. Watch the full interview: https://lnkd.in/gpU8_EZZ #AI #Inference #EdgeComputing #Semiconductors #Nasdaq #Sustainability #BZAI

"The organizations are asking how to actually deploy applications and generate value from their AI investments." As highlighted by Joseph S., Senior Vice President Marketing at Blaize in a recent interview with Light Reading, enterprises across APAC are now facing a clear shift in focus: from AI experimentation to AI execution. Blaize and Nokia are addressing one of the most critical bottlenecks in this transition — scaling AI inference in a way that is: • Cost-efficient 💰 • Operationally manageable ⚙️ • Consistent across edge, cloud, and data center environments 🌐 Across APAC, demand is rapidly shifting from model training to inference-led deployment. But most enterprise infrastructure was not designed for distributed AI workloads, low-latency decisions, and resource-constrained edge environments. This is the gap Nokia and Blaize are targeting. By combining Nokia’s strength in network infrastructure with Blaize’s programmable, energy-efficient AI inference platform, the focus is on enabling production-ready AI systems that can run reliably from edge to cloud, under real-world operational conditions. The biggest opportunity is emerging in sectors where intelligence must be processed closer to the source of data: • Telecom networks 📡 • Smart city systems 🏙️ • Industrial environments 🏭 The takeaway is clear: AI adoption in APAC is entering an execution phase. The competitive advantage will come not from building models, but from closing the inference gap, and operationalizing AI at scale in production environments. Thanks to Dion Leung, Head of AI and Cloud, APAC at Nokia, for the insightful joint discussion. 🔎 Read the full interview: https://lnkd.in/gsxa9WWY #AI #EdgeAI #Inference #AIInfrastructure #HybridAI #APAC #Blaize #BZAI

From El Dorado Hills to Times Square 🚀 Our CEO, Dinakar Munagala, joined Jill Malandrino on Nasdaq #TradeTalks with Harman Kaur from Tanium to discuss where AI infrastructure is headed - from inference at the edge to data sovereignty and the economics driving real-world outcomes. Excited for what’s ahead. Full segment coming soon. Stay tuned. #BZAI #Blaize #AIInfrastructure #EdgeAI #Nasdaq #TradeTalks