About
Hi, I'm Bhargav Achary
Computer Architecture & Performance Engineer
I dissect cutting-edge technology through the lens of a systems engineer who understands both the silicon and the story behind it.
I’m based in Pune, with processor performance engineering experience across IBM Power, AMD Ryzen, and Qualcomm Hexagon DSP. My work spans C/C++ performance modeling, workload characterization, PMU/PMC analysis, and simulator-to-RTL correlation. I hold an MS in Computer Science & Engineering from IIT Hyderabad, where my hardware performance-counter research led to an ACM publication.
Alongside that work, I build CardNiti using an AI-assisted development workflow. In 2026, I won IBM ISDL’s Bob-a-thon as a solo developer. See my resume for experience, projects, and the downloadable PDF. I’m open to Pune District roles.
What I Do
Architecture & Performance Engineer
- C/C++ performance modeling and workload characterization
- PMU/PMC analysis and simulator-to-RTL correlation
- Cache coherence, memory hierarchies, and interconnect performance
- DNN workload analysis and hardware performance-counter research
Tech Analyst & Writer
- AI chip wars: Apple Silicon, Qualcomm Snapdragon, Intel, AMD, NVIDIA
- Edge AI and on-device inference challenges
- Cloud infrastructure, system reliability, and deployment strategies
- The intersection of innovation, hype, and practical reality
My Perspective
I bring a critical yet optimistic lens to tech analysis:
- Deep Dives: From NVIDIA's NVLink Fusion to Intel's Lunar Lake architecture
- Workload Analysis: Connecting processor, cache, and memory behavior with performance measurements
- Honest Takes: Calling out both brilliance and disappointment (yes, Apple Intelligence saga)
- Systems Thinking: Understanding how hardware, software, and AI co-evolve
What You’ll Find Here
Technical Deep Dives
Computer architecture breakdowns, AI inference optimization, memory system analysis, and processor comparisons.
Industry Analysis
Critical takes on AI trends, cloud outages, chip competition, and the future of computing.
Practical Insights
Real-world performance data, deployment strategies, and lessons from the bleeding edge of tech.
Why This Blog Exists
This is where hardware meets AI, where hype meets reality, and where complex systems get explained without losing the technical depth.
I write for engineers, tech enthusiasts, and anyone curious about what's actually happening beneath the marketing slides: from silicon design to AI deployment, from edge devices to data centers.