Larbi AIT EL HADJ’s Post

The timing couldn't be better. Just as I wrapped up my experiment on using the 𝗝𝗮𝘃𝗮 𝗜𝗻𝗰𝘂𝗯𝗮𝘁𝗼𝗿 𝗩𝗲𝗰𝘁𝗼𝗿 𝗔𝗣𝗜 to unlock a 23𝘅 𝘀𝗽𝗲𝗲𝗱𝘂𝗽 in matrix operations, Christian Tzolov (Spring AI Lead) released benchmarks that confirm the exact same trend at the application layer. The Data is striking: • 𝗝𝗮𝘃𝗮: 0.84ms latency (leading the pack) ⚡ • 𝗚𝗼: 0.86ms • 𝗣𝘆𝘁𝗵𝗼𝗻: 26.45ms Whether it's raw hardware-level SIMD instructions or high-level Model Context Protocol (MCP) servers, the JVM is proving to be the default choice for low-latency, high-throughput AI infrastructure. Great work, Christian Tzolov! 👏 #Java #SpringAI #Performance #SoftwareEngineering #AI #DataScience

Java has been flying in its latest versions, showing it won’t be dethroned anytime soon—especially not by any trendy “flavor-of-the-month” language/framework.

Java and Spring AI team has built a clean and secure framework for AI. This MCP server benchmark is pretty telling. Java & Go crush it with ~0.8 ms average latency and >1,600 requests/sec, while Node.js and Python trail dramatically. The gap is massive: sub-ms latency for Java/Go vs 10–26 ms for Node/Python under real load. Huge shoutout to the team. Christian Tzolov #SpringAI #Java #Spring #MCP #LLM

These benchmark results highlight why I love working with Spring and Java—not just for the performance, but for the ease of building and maintaining robust systems. In my own AI-driven projects, that developer experience translates into faster iteration and scaling. Way to go Spring and Java!! #GenAi #LLM #AgenticAI #SpringAI #Java

 Exciting times to be a #Java developer! 🚀 The latest head-to-head benchmarks of Model Context Protocol (MCP) server implementations across #Java, #Python, #JavaScript, and #Go are out — and #Java is leading the pack: ✅ Sub-millisecond p99 latency ✅ Highest requests/second throughput ✅ Best CPU efficiency (fewer cores for same load) In the high-performance AI space, #Java isn’t just keeping up — it’s pulling ahead.

The experiment did not use JVM parameter tuning. Read more here: https://lnkd.in/gBqc8E53 Performance will improve further using ZGC with sub millisecond pauses (P99)

Day 43 of #100DaysOfLeetCode 💻✅ Solved #100. Same Tree problem in Java. Approach: • Used recursion to compare both binary trees simultaneously • If both nodes are null, returned true • If one node is null and the other is not, returned false • Checked whether the values of both nodes are equal • Recursively compared the left subtrees and right subtrees Performance: ✓ Runtime: 0 ms (Beats 100% submissions) 🚀 ✓ Memory: 43.10 MB (Beats 30.15% submissions) Key Learning: ✓ Practiced recursive traversal of binary trees ✓ Learned how to compare two trees node by node ✓ Strengthened understanding of tree recursion logic Learning one problem every single day 🚀 #Java #LeetCode #DSA #BinaryTrees #ProblemSolving #CodingJourney #100DaysOfCode

Exciting to be a #Java developer right now! 🔥🚀🚀🚀 Latest head-to-head benchmarks of Model Context Protocol (MCP) server implementations across #Java, #Python, #JavaScript and #Go just dropped — and #Java is completely dominating: - Sub-millisecond p99 latency - Highest requests/second throughput - Best CPU efficiency (lowest cores needed for the same load) #Java isn't just keeping up — it's pulling away in the high-performance AI game. 📈 Full benchmark report here: https://lnkd.in/d9jWSeKv #Java #SpringAI #MCP #AI #Performance

From an architecture standpoint, this is very interesting. Sub-ms p99 latency + higher throughput + lower CPU usage means: • Better horizontal scaling efficiency • Lower cloud cost per request • Easier 99.95% availability targets For teams building AI services at scale, language/runtime efficiency directly impacts infrastructure design decisions. Java’s JVM ecosystem continues to prove why it dominates large-scale backend systems. Would love to analyze how GC tuning and thread models influenced these results. #Java #SystemDesign #Scalability #AIInfrastructure

Awsome. But beware that now you'll get tones of comments from prople that rejected Java, pretexting its allegedly lack of velocity, saying that speed isn't everything and pointing out that: 1. Java is too verbose. 2. Java isn't "terminal friendly" enough. 3. Java "ceremonial" is too heavy. 4. Java applications and services can't be easily hosted in a single file like in Python. 5. Java isn't a scripting language like Python. 🤣