“I greatly enjoyed working alongside Sudeep for 2.5 years at Leidos. His broad skillset was a boon to every project we were on, and through his skills, communication and leadership I was able to learn and grow myself. Sudeep never shied away from a hard set of tasks, and frequently made time to help me with my own. Due to vast knowledge in various frameworks, he often found himself mentoring other staff in web development. All told, he is a well rounded software engineer with a great deal of talent, who is a pleasure to work with.”
Sudeep Devkota
Raleigh-Durham-Chapel Hill Area
2K followers
500+ connections
View mutual connections with Sudeep
or
New to LinkedIn? Join now
By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy.
View mutual connections with Sudeep
or
New to LinkedIn? Join now
By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy.
Recommendations received
3 people have recommended Sudeep
Join now to viewView Sudeep’s full profile
-
See who you know in common
-
Get introduced
-
Contact Sudeep directly
Other similar profiles
Explore more posts
-
Rob Kemp
NVIDIA • 39K followers
Securing U.S. technological leadership takes a unified national strategy — one that connects federal investment with state-level action. At #NVIDIAGTC, U.S. Representative Sam Liccardo shared his "Innovation Agenda" to advance AI through federal R&D and critical tech investment. Maryland Lt. Gov. Aruna Miller highlighted how states foster AI Factory ecosystems across universities and industry. NVIDIA co-founder Chris Malachowsky also joined the discussion to explore how public-private partnerships will power U.S. education, research, and national security in the era of AI. Watch the session now: https://bit.ly/3JI9QXg
8
-
Rob Kemp
NVIDIA • 39K followers
AI factories are moving from build-first to simulate-first. With NVIDIA DSX Air, organizations can validate complex AI infrastructure deployments in simulation—reducing time to first token from months to days. DSX Air brings together the AI factory ecosystem, enabling partners across servers, networking, storage, orchestration, and security to test and validate solutions alongside NVIDIA infrastructure. 🔗 Learn more: https://bit.ly/4rKt7qY
3
-
Rob Kemp
NVIDIA • 39K followers
AI is everywhere & every interaction runs on inference. NVIDIA Think SMART framework helps AI factories scale efficiently, faster & profitably: 🔹Scale & complexity ⚖️ Multi-dimensional perf 🏗️ Architecture & software 💸 ROI driven by perf 🌐 Technology ecosystem & install base
4
-
Rob Kemp
NVIDIA • 39K followers
AI is everywhere & every interaction runs on inference. NVIDIA Think SMART framework helps AI factories scale efficiently, faster & profitably: 🔹Scale & complexity ⚖️ Multi-dimensional perf 🏗️ Architecture & software 💸 ROI driven by perf 🌐 Technology ecosystem & install base
3
-
Ripudaman Singh
Harvey Nash • 28K followers
Anthropic is breaking the "Context Barrier."...Full 1M-token context window is now generally available for Claude Opus 4.6 and Sonnet 4.6, with no increase in price Huge updates dropped for the Claude ecosystem that change the game for long-form research, large-scale coding, and heavy usage. Here is the breakdown of what’s new: 1️⃣ Usage Limits: Doubled For the next two weeks, Anthropic is doubling usage limits across Free, Pro, Max, and Team plans. The Catch: This applies outside of peak hours (Weekdays 5am – 11am PST). The Best Part: No action is required. The bonus usage is being applied automatically to all your favorite Claude tools. 2️⃣ 1M Token Context Window: Generally Available The massive 1-million-token context window is moving out of beta and into General Availability for both Claude Opus 4.6 and Sonnet 4.6. Price: No increase. Standard API pricing now covers the full window. Media: You can now upload much larger media files (up to 600 images or PDF pages) directly into your chats. Performance: With a ~78% recall rate at full capacity, Claude isn't just "reading" your data—it’s actually remembering it. 3️⃣ Why This Matters Whether you're uploading an entire codebase to Claude Code, analyzing hundreds of pages of legal documents, or running complex simulations, the "lost in the middle" problem is officially a thing of the past. You can now keep the full arc of a project in view without constant summarization or loss of detail. Are you planning to put that 1M context window to the test this week? Let’s discuss your use cases in the comments! 👇 🔗 Full details here: https://lnkd.in/gHQFRYtM #AI #ClaudeAI #Anthropic #GenerativeAI #Coding #TechNews #Productivity
2
1 Comment -
Rocket Partners
2K followers
Cloud bills aren’t about storage. They’re about compute. Rocket engineers design AWS architectures that minimize redundant requests, optimize edge caching and cut unnecessary data transfer. The result: faster performance and lower costs—without ripping and replacing your stack.
7
-
Alex Mirailh
Amazon Web Services (AWS) • 35K followers
Start building with Anthropic’s Claude 4 models in Amazon Bedrock https://go.aws/3FnygTR Think of Claude Opus 4 and Claude Sonnet 4 as your expert virtual collaborators, ready to accelerate your coding and break down abstract projects. This latest generation of models excel at enabling AI agents to analyze thousands of data sources and perform complex actions.
13
1 Comment -
Rob Kemp
NVIDIA • 39K followers
🏢 Google Cloud shares its AI Hypercomputer architecture, designed for NVIDIA Blackwell. At #NVIDIAGTC, get a dive deep into performance benchmarks and architectural breakthroughs of Google Cloud's newest VMs, powered by NVIDIA Blackwell, and design approach to reduce operating costs while improving NVIDIA GPU utilization. 📆 Tuesday, March 17 | 10:00 a.m. PT ➡️ Explore workshop: https://bit.ly/4cEtOye
2
-
Rob Kemp
NVIDIA • 39K followers
As organizations scale up compute infrastructure to train multi-billion parameter models, training faster while maintaining model quality has become mission critical. For the first time, we are introducing NVFP4 to the pretraining phase, marking a major leap forward in #LLM development. NVFP4 4-bit pretraining is unlocking breakthrough efficiency at scale — reducing memory use and time, while boosting throughput and accuracy. In the era of AI factories, NVFP4 4-bit pretraining is redefining the economics of AI training and setting a new standard for high-performance AI model development.
2
Explore top content on LinkedIn
Find curated posts and insights for relevant topics all in one place.
View top content