SpaceX is a huge AI infrastructure player with a massive Google GPU compute deal, making the AI hardware race public. #aiinfrastructure #gpucompute #spacex #google

The last 45 spots... You're in if you're in :) If you're not, come join us so you won't regret it later... community.openxai.org/invite… @OpenxAINetwork #joinus #OpenxAI #DecentralizedAI #DePIN #GPUCompute #Web3 #OpenxAICommunity

Textureのカラーを取得してParticleで表現 100,000個ありますが思ったより重くなくてNiagaraはかなり最適化されてますね SampleTextureを使用するときはSimTargetをCPUからGPUCompute必須なのでそれが大きいのかもしれません CPU→GPUで大量描画は得意になりますが、一部制限かかるみたいです

We're hiring a Payment & Billing Operations Specialist at Hydra Host! Hydra Host is building the infrastructure layer of the AI economy, connecting a global network of data centers to AI and high-performance computing demand. As we scale, accurate and reliable payments and billing are mission-critical. We're looking for someone who: ✅ Has 5 years in payment, billing, or finance operations ✅ Loves tracking down reconciliation breaks and owning disputes end to end ✅ Can bridge the gap between Engineering, Finance, and Customer Support ✅ Thrives in a fast-moving, build-it-yourself environment This is a hands-on IC role with real ownership, not just process design, but actually working the queue and building the controls that keep our multi-party money movement accurate. 🔗 Apply here: jobs.gohire.io/hydra-host-uw… #Hiring #PaymentOperations #BillingOperations #Fintech #AIInfrastructure #GPUCompute #HydraHost

One of the most common GPU infrastructure questions for AI teams in the cloud: On demand or reserved capacity? 🤔 The answer depends on your workload, not a fixed rule. 👉On demand is best for speed and flexibility. No commitment, pay as you go, ideal for experimentation and burst workloads. 👉Reserved capacity is best for scale and predictability. Stable pricing, guaranteed resources, ideal for production pipelines. Most teams combine the two, using on demand for exploration and reserved capacity for steady production workloads. Serenity Cloud brings them together in one platform, so you can choose based on workload needs instead of being forced to switch providers. 🔀 More info about Serenity Cloud here: eu1.hubs.ly/H0w0YP40 *** Una de las preguntas más comunes sobre infraestructura GPU para equipos de IA en la nube: ¿Capacidad bajo demanda o reservada? 🤔 La respuesta depende de tu carga de trabajo, no de una regla fija. 👉 La capacidad bajo demanda es ideal para velocidad y flexibilidad. Sin compromiso, pago por uso, perfecta para experimentación y cargas de trabajo variables. 👉 La capacidad reservada es ideal para escala y previsibilidad. Precios estables, recursos garantizados, perfecta para pipelines en producción. La mayoría de los equipos combinan ambas. Bajo demanda para exploración y capacidad reservada para cargas de producción estables. Serenity Cloud reúne ambas opciones en una sola plataforma, para que puedas decidir en función de las necesidades de tu carga de trabajo sin verte obligado a cambiar de proveedor. 🔀 Más info sobre Serenity Cloud arriba. #GPUCompute #AIInfrastructure #SerenityCloud #SubstrateAI

Designed this infographic comparing Big Cloud and io.net across GPU pricing, deployment speed, and network scale. Lower costs. Faster access. Global decentralized compute. What stands out most to you? @ionet @Ionet_Nigeria #ioNet #DePIN #GPUCompute

Free GPU access is now available for Nigerian AI researchers, startups, and communities. But what does that actually mean for you? For Researchers — Train on African language datasets, run large-scale experiments, and push groundbreaking work from idea to publication. For Founders — Build and test your AI products without draining resources on expensive cloud compute before launch. For Communities — Power hands-on workshops, hackathons, and practical learning experiences with real GPU infrastructure, not just theory. This is about closing one of the biggest gaps in Africa’s AI ecosystem: access to compute. Through this initiative, Data Science Nigeria (@dsn_ai_network ) and the Nigeria AI Collective (@aicollectiveng ) are opening access to the infrastructure needed to build, experiment, and scale. Because your ideas deserve resources that match your ambition. Register your interest here: bit.ly/AIComputeSupport #DataScienceNigeria #GPU4Good #AICollectiveNG #GPUCompute #AIResearch #AIStartup #TechInAfrica #ArtificialIntelligenceInAfrica

Your next AI Solution shouldn't be held back by compute limits. Whether you're a researcher running model experiments at 2am, a founder building the next African AI startup, or a community trying to run your first hackathon — lack of GPU access shouldn't be the reason you slow down. The Nigeria AI Collective (@aicollectiveng) and Data Science Nigeria (@dsn_ai_network) are changing that. Free GPU compute is now available for Nigerian AI researchers, startups, and communities - so you can train faster, experiment freely, and build without compromise. Available to: a. Researchers. b. AI Startup Founders. c. Communities. Show your interest today: bit.ly/AIComputeSupport #datasciencenigeria #GPU4Good #aicollectiveng #GPUCompute

Axe Compute's CEO, Christopher Miglino, will be speaking at Proof of Talk - happening June 2 & 3 at the Louvre Palace. His presentation: "The Compute Capital Stack: A View of AI's Global Infrastructure Buildout." If you're attending Proof of Talk, come find us. If not, stay tuned for updates before, during, and after the event. #AxeCompute #AI #GPUCompute #ProofOfTalk #AIInfrastructure #AGPU

We were one of the first cloud providers to virtualize @AMD Instinct™ MI355X GPUs. Here's what it actually took: ❌ RCCL routing through the wrong interface ❌ GPU memory reg failing (ib_peermem is gone in kernel 6.8 ) ❌ PCIe topology flattened by Cloud Hypervisor ✅ 368 GB/s all-reduce. Zero errors. Nice work @shubh_chakrawar and Andrew Carp. Full debug walkthrough: bit.ly/4tQhorV #GPUCompute #CloudInfrastructure #AMD #ROCm

Every rupee spent on cloud GPU compute is a subscription to someone else's infrastructure. One of our clients was fine-tuning at ~$32/hr. A 65-hour run was ₹1.74L - per experiment. We built them this machine with RTX 5090 with 32GB VRAM, AMD 7970X (32C/64T), 64GB DDR5 ECC. The 30B class models fit unquantized. ECC memory makes sure nothing goes wrong on multi-day runs. The machine pays for itself by run #9. #AIInfrastructure #MLWorkstation #LocalLLM #GPUCompute #AITraining #CustomWorkstation #theMVP #EnterpriseAI

AI development needs serious compute capacity. AIKosh Compute Sandbox provides access to A100 GPU-powered environments, enabling users to work on demanding AI workloads, from experimentation to model training and evaluation. Built to support faster and scalable AI development. Explore more on - aikosh.indiaai.gov.in/home #IndiaAI #AIKosh #GPUCompute #AIInfrastructure #DigitalIndia @AshwiniVaishnaw @jitinprasada @PIB_India @SecretaryMEITY @kavitabha @GoI_MeitY @_DigitalIndia @Gov_of_india

⭕️ AI is eating the world — but starving for GPU compute. $Render is the Solution⭕️ Every breakthrough model, every real-time inference, every 8K render is slamming into the same wall: centralized clouds are maxed out, insanely expensive, and can’t scale fast enough. $Render fixes that. Render Network’s decentralized GPU marketplace lets anyone plug in idle hardware and get paid in real time. Global, permissionless, always-on compute — no AWS waitlists, no surprise bills, no single point of failure. The GPU crunch isn’t going away. It’s getting worse. The solution isn’t building more centralized data centers. The solution is turning the world’s idle GPUs into a borderless supercluster. That’s $Render DePIN isn’t a narrative. It’s the infrastructure layer AI actually needs. Bullish as hell. 🔥⭕️🚀 #RenderNetwork #DePIN #GPUCompute

NOSANA BREAKOUT LOADING — The AI DePIN Sleeper Just Woke Up After months of consolidation, Nosana $NOS is printing a textbook higher-timeframe breakout on the 2W chart.Major descending trendline (from $1.30 ATH) under heavy pressure Clean Cross-X Buy signal on/above the gray cloud (strong trend confirmation) MA7 interacting with MA30 → Golden Cross momentum shift forming Higher lows "Gap Filled" multiple Buy signals aligning Breakout trigger: Daily/weekly close above $0.27–$0.28 with volume = multi-month downtrend officially broken. Fib Targets (from current ~$0.258–0.267 zone): • Immediate: $0.32 – $0.35 ( 25–35%) • Medium: $0.48 – $0.65 ( 85–150%) • Stretch: $0.85 – $1.05 ( 230–300%) • Bull case: $1.30 (full extension) Why this matters: Nosana is the decentralized "Airbnb for GPUs" on Solana — delivering AI compute at up to 6x cheaper than centralized clouds. Real traction: thousands of active nodes, millions paid out, mainnet live, NVIDIA H100/Blackwell support, Builders Challenges & Grants fueling adoption.At ~$26M market cap with exploding AI GPU demand, this is one of the most undervalued setups in DePIN right now.The charts, narrative, and momentum are aligning. Accumulation phase ending?Position accordingly, manage risk, and watch that $0.28 level closely. Next leg could be fast. DYOR — Not financial advice. Crypto is volatile. Always do your own research and trade responsibly.#NOS #Nosana #Solana #DePIN #AI #Crypto #GPUCompute #Breakout

AI isn’t just scaling—it’s reshaping the very foundation it runs on. In InterGlobix Magazine Issue 21, *Inside the Neocloud Engines* explores how data center leaders are rearchitecting infrastructure for GPU-scale AI. From liquid cooling innovations to rack densities reaching 100–300kW, the message is clear: traditional designs are no longer sufficient. As neocloud models emerge, purpose-built environments are enabling faster deployment, greater efficiency, and true scalability for next-generation workloads. Read more: interglobixmagazine.com/insi… #InterGlobixMagazine #AIInfrastructure #Neocloud #DataCenters #GPUCompute

🚀 $AKT IS SLEEPING ON A GOLDMINE — WAKE UP DEGENS 🔥 🔥 "Project Twilight" BME live — every compute lease NOW burns $AKT permanently. More AI = more burn. Deflationary beast mode ACTIVATED ✅ 🤖 Grayscale named $AKT a TOP Q1 2026 performer for volatility-adjusted returns integrations with Venice.ai, ElizaOS, Morpheus & NVIDIA Blackwell GPUs incoming 🔋 ⚡ $5M compute spend ATH in Q1 2026, Homenode Beta lets RTX 4090s join the network — the decentralized AWS is REAL and GROWING 📈 🗓️ Upcoming catalysts: Lease-to-Lease Networking (May), Instance Reservations Preemptible Compute (Aug), chain migration decision (Dec) — roadmap is STACKED 🗺️ 💎 94% below ATH, $140M mcap vs multi-trillion AI compute TAM — this is your AWS killer at a dollar store price before the market wakes up 👀 @akashnet_ @gregosuri #AKT #AkashNetwork #DePIN #DeAI #DecentralizedCloud #AIcrypto #CryptoGems2026 #GPUCompute (Not financial advice — DYOR)

$IO at ~$0.12 is PAPER MONEY — ATH network utilization hit in March 2026, @ionet just dropped Agent Cloud (autonomous AI agents renting GPU with ZERO human approval), 300K GPUs online, 70% cheaper than AWS & killing it vs Lambda & RunPod 🤖⚡ 🔥 Token BURN live, Staking PoW security upgrades coming Q2 2026, AI compute market exploding from $83B → $353B by 2030, $IO is the pick & shovel — $37M mcap for the world's largest decentralized GPU network is an absolute JOKE 📉💎 💥 FROM $6.43 ATH → $0.12 TODAY = 98% DOWN, FUNDAMENTALS GOING PARABOLIC — Glam 5.1 incoming, AI Marketplace SDK 2026, BUY THE DIP before the market wakes up 🏆🔔 #IO #ionet #DePIN #AltSeason2026 #AI #GPUCompute #BuyTheDip #Web3AI #Solana #CryptoGems @ionet @solana NFA. DYOR.

🧱 Technical Showcase: Rigid bodies tumbling in a browser tab, solved on your GPU. Jure Triglav's webphysics implements Augmented Vertex Block Descent (SIGGRAPH 2025) in WebGPU: LBVH broad phase, graph-colored primal sweeps, warm-started contacts. The reference demo is CPU-serial. This one isn't. 🔗 webgpu.com/showcase/webphysi… #WebGPU #GPUCompute #PhysicsSimulation #WGSL #GraphicsProgramming

Most AI startups treat the OS as an afterthought. At scale, that's where performance and compliance problems start. RLC Pro AI is built for AI/ML workloads from the kernel up. Faster inference through kernel-level optimizations. More throughput on the same GPUs. At scale, that's the difference between burning cash and building margin. For teams with compliance requirements, RLC Pro Hardened is a separate image purpose-built for regulated environments: LKRG kernel runtime guard, hardened memory allocators, FIPS 140-3 encryption, cryptographically signed supply chain. With only 2.5% overhead and 95-99% DISA STIG compliance out of the box. Fuzzball ties the stack together: orchestrate AI workloads across on-prem and cloud in a single workflow. Join the CIQ Startup Program for up to 2 years free or discounted on the full stack! ciq.com/startup-program #AIInfrastructure #MLOps #GPUCompute #Startups