If vLLM already solved LLM serving, why did SGLang appear?
Compare AI Cloud Platforms for
GPU Workloads
Evaluate leading AI cloud platforms across performance, cost, and scalability. Compare options side by side and choose what fits your workloads.
10 mins.
H200 vs B200: What You Actually Need to Know in 2026
If you’re weighing H200 vs B200 for your next deployment, the decision turns on one question: can your workload use FP4? The H200 is the mature Hopper card that has been the default for 70B-class work for over a year. The B200 is Blackwell, newer and pricier, and on paper it should win everything. It […]
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10 mins.H100 vs A100: Which NVIDIA GPU for LLM Training and Inference
The NVIDIA H100 and A100 have two generations between them, and yet they remain the two cards most Indian AI teams actually weigh when renting compute in 2026. The newest Blackwell parts get the headlines, but the actual budget decision on the ground is still H100 against A100. This is a practical walk-through of that […]
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7 mins.GB300 vs H200: What Actually Changes in Your Code?
H200 represented the final evolution of the Hopper generation. It retained the GH100 architecture used in H100 while expanding memory capacity and bandwidth to 141 GB HBM3e at 4.8 TB/s. That additional memory headroom mattered because it enabled practical deployment of larger models: GB300 belongs to a different infrastructure category entirely. It introduces: From a […]
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9 mins.H100 vs RTX 4090 for AI: Can You Get Away With the 4090?
For a lot of AI work the RTX 4090 is good enough, but there is a clear point where the 4090 stops working. That point is memory. A 4090 has 24 GB. An H100 has 80 GB. Almost everything else in this comparison comes back to that one number. If your models and data fit […]
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9 mins.GB300 vs GB200: Which Blackwell GPU Should You Choose?
In 2025, the practical question was whether teams should wait for GB300. That framing is now outdated. GB300 is no longer only a future-facing upgrade path. It has moved into volume deployment across NVIDIA’s Blackwell roadmap. The more relevant question is whether teams can access either platform, and if both are available, which one better […]
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7 mins.H200 vs L40S: What You Actually Need to Know in 2026
This comparison is often framed as a question of which GPU is “better.” In practice, these two GPUs target fundamentally different workload categories. Deploying an H200 for lightweight 7B inference is usually unnecessary over-provisioning. Using L40S for large-model training or sustained 70B inference introduces hard architectural limits around memory capacity and interconnect bandwidth. Both GPUs […]
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7 mins.H200 vs MI300X: What Actually Matters
Before you begin:For most AI teams, the NVIDIA H200 remains the safer and more operationally efficient choice. This is why GPU selection should be evaluated within the full AI tech stack, not only through peak specification sheets. AMD’s MI300X becomes compelling primarily for very large-model inference workloads where memory capacity is the bottleneck and teams […]
