AMD bets $8.2B that worlds matter more than words in AI
AI pioneer Fei-Fei Li just co-founded spatial AI research company World Labs in 2024. Now it's joining AMD
The Register6 min read
gpu
77 stories
How to Choose a Cloud GPU for Deep Learning (Ultimate Guide)
Choosing a cloud GPU isn't just about power, it's about efficiency, memory, compatibility, and budget. This guide helps you select the right GPU for your.
RunPod9 min read
Validate GPU Cluster Readiness Before AI Workloads Land
A GPU cluster can pass every health check and still fail to run an AI workload. Even when every GPU, network link, and pod reports healthy, a 512-GPU training...
NVIDIA Developer Blog9 min read
Haters think AI agents can't write GPU code? This'll ROCm
Ryan chats with Anush Elangovan, VP of Software at AMD, about ROCm's open-source unified toolchain for GPUs, how agentic AI is drastically lowering the barrier to entry for low-level hardware programming, and the rapid convergence of software and hardware development timelines.
Stack Overflow Blog - AI1 min read
Accelerated Server Sales Are Themselves Accelerating
Do you know what the difference is between an F-18A taking off from the deck of an aircraft carrier ...
Next Platform5 min readBest GPU for Embedding Workloads: Throughput & Cost Benchmark
Compare GPUs and serving engines like TEI and vLLM across top embedding models. Discover which GPU delivers the best throughput per dollar for your workload.
RunPod11 min read
Introducing CUDA Rust: Two Tracks for Writing GPU Kernels
In September 2026, NVIDIA announced it is leaning into native GPU programming in Rust. CUDA C++ and CUDA Python are mature, enterprise-grade toolchains, and...
NVIDIA Developer Blog12 min read
Import AI 470: No rights for machines; automating environment generation with SPADE; and building better GPU kernels with Hawkeye
Welcome to Import AI, a newsletter about AI research. Import AI runs on arXiv, cappuccinos, and feedback from readers. If you’d like to support this, please subscribe.
Import AI (Jack Clark)18 min read
Fix: Meetily is not using your GPU
Meetily pinning your CPU while an RTX card sits idle? Here is what v0.4.0 fixed, what it did not, and the build flags that get CUDA working.
LUCI Desktop Blog6 min read
The CPU Comeback Is Upon Us
Earlier this year, leaders at Amazon Web Services delivered a new mandate to their engineers: They need to conserve CPU cycles at all costs. AWS has reportedly experienced an explosion in wait times for CPU server capacity as AI workloads strain the company’s cloud infrastructure.
IEEE Spectrum AI6 min read
Upcoming GPU Pricing Updates
Effective August 1st, 2026, we will be updating prices on select GPUs. This change reflects continued strong demand for advanced GPU capacity and helps us continue expanding reliable access to high-performance compute for customers.
DigitalOcean Blog2 min read
Together AI and Y Combinator partner to launch the first dedicated GPU cluster for the YC community
No more two-year compute contracts. Together AI and YC just gave YC startups a faster way to get GPUs.
Together AI Blog3 min read
New in Together GPU Clusters: Reliability and control for production GPU clusters
See how Together AI is improving production GPU clusters with passive health checks, node repair, stronger Slurm reliability, OIDC, and startup scripts.
Together AI Blog9 min readImport AI 464: Fable writes GPU kernels; AI automation; and analog computation
Welcome to Import AI, a newsletter about AI research. Import AI runs on arXiv, cappuccinos, and feedback from readers. If you’d like to support this, please subscribe.
Import AI (Jack Clark)11 min readImport AI 463: Self-improving robots; a 10k Chinese GPU cluster; and an elegiac essay for the human era
Welcome to Import AI, a newsletter about AI research. Import AI runs on arXiv, cappuccinos, and feedback from readers. If you’d like to support this, please subscribe.
Import AI (Jack Clark)11 min read
vLLM vs SGLang vs TensorRT-LLM: a serving benchmark
Self-reported Llama-3.1-8B results for three LLM inference engines. Published unique-prompt throughput and latency rows cover H100 bf16. FP8 and L40S appear only in derived cost results. The harness and raw data are not publicly available.
RunInfra Blog9 min read
The Inference Tax: How Prefix-Aware Routing Eliminates the Hidden Cost of LLMs at Scale
vLLM prefix caching and prefix-aware KV cache routing eliminate redundant LLM prefill costs at scale. Learn how DigitalOcean Serverless Inference reduces GPU compute waste by up to 4x on the same hardware.
DigitalOcean Blog15 min read
ComfyUI Alternative for API-Based Workflows — No GPU Required
If ComfyUI's local setup is the wall — GPU requirements, Python environments, CUDA conflicts — here's a browser-based alternative that uses the same node-based model but runs entirely on API providers.
AI-Flow Blog7 min read
Showing 72 of 77 stories
Load more storiesAiByts Weekly Brief
Get the top AI news and tools straight to your inbox every week.
Weekly · AI news
Join 15,000+ AI enthusiasts