RTX 5090VSDGX Spark
AI Benchmark Battle 2026
RTX 5090
Blackwell32GB
$1,999-2200
ผู้บริโภค
Flagship
DGX Spark
Grace Blackwell128GB
$3,000-4000
องค์กร
Workstation
ระดับ Concurrency ต่างกัน
DGX Spark ทดสอบที่ 128 concurrent requests (workload ระดับ datacenter) ขณะที่ RTX 5090 ทดสอบที่ 16 concurrent requests (โหลดทั่วไป) Concurrency สูงแสดง throughput แต่อาจไม่สะท้อน latency ของผู้ใช้เดี่ยว
LLM Inference
| โมเดล | RTX 5090 | DGX Spark | ผู้ชนะ |
|---|---|---|---|
Typhoon2.5-Qwen3-4Bยิ่งสูงยิ่งดี | 1,446tok/s | 1,105tok/s | RTX 5090 |
GPT-OSS-20Bยิ่งสูงยิ่งดี | 1,338tok/s | 1,094tok/s | RTX 5090 |
Qwen3-4B-Instruct-FP8ยิ่งสูงยิ่งดี | N/A | N/A | N/A |
Vision-Language
| โมเดล | RTX 5090 | DGX Spark | ผู้ชนะ |
|---|---|---|---|
Qwen3-VL-4Bยิ่งสูงยิ่งดี | 1,005tok/s | 1,237tok/s | DGX Spark |
Qwen3-VL-8Bยิ่งสูงยิ่งดี | 868tok/s | 972tok/s | DGX Spark |
Typhoon-OCR-3Bยิ่งสูงยิ่งดี | 1,577tok/s | 696tok/s | RTX 5090 |
Image Generation
| โมเดล | RTX 5090 | DGX Spark | ผู้ชนะ |
|---|---|---|---|
Qwen-Imageยิ่งต่ำยิ่งดี | 46.00sec | 98.00sec | RTX 5090 |
Qwen-Image-Editยิ่งต่ำยิ่งดี | 50.00sec | 105.00sec | RTX 5090 |
Video Generation
| โมเดล | RTX 5090 | DGX Spark | ผู้ชนะ |
|---|---|---|---|
Wan2.2-5Bยิ่งต่ำยิ่งดี | 344.00sec | 825.00sec | RTX 5090 |
Wan2.2-14Bยิ่งต่ำยิ่งดี | 903.00sec | 2352.00sec | RTX 5090 |
Speech-to-Text
| โมเดล | RTX 5090 | DGX Spark | ผู้ชนะ |
|---|---|---|---|
Typhoon-ASRยิ่งสูงยิ่งดี | 0.324xx realtime | 0.342xx realtime | DGX Spark |
วิเคราะห์ผู้ชนะ
เจาะลึกว่าทำไม GPU แต่ละตัวมีประสิทธิภาพต่างกันตามสเปคเทคนิค
สรุปการวิเคราะห์ทางเทคนิค
RTX 5090 wins 7 out of 10 benchmarks, excelling in LLM Inference and Image Generation. Its exceptional memory bandwidth provides a decisive advantage for AI inference workloads.
ความแตกต่างหลัก
- RTX 5090 uses Blackwell architecture while DGX Spark uses Grace Blackwell
- RTX 5090 features next-gen GDDR7 memory
- RTX 5090 offers consumer pricing vs DGX Spark's enterprise cost
- DGX Spark has 128GB VRAM for larger models
LLM Inference
RTX 5090 wins in LLM inference because RTX 5090's superior memory bandwidth (1.8TB/s vs 273GB/s) enables faster token generation, and Blackwell architecture delivers significant AI performance improvements.
Vision-Language
DGX Spark excels at vision-language tasks due to more VRAM (128GB) handles larger image batches efficiently, and 5th Gen Tensor Cores accelerate cross-attention between visual and text features.
Image Generation
RTX 5090 leads in image generation because faster memory enables quicker diffusion iterations, and Blackwell architecture optimizations accelerate denoising operations.
Video Generation
RTX 5090 dominates video generation with 1.8TB/s bandwidth handles high-throughput video data, and large VRAM capacity enables running advanced video generation models.
Speech-to-Text
DGX Spark excels at speech-to-text because 5th Gen Tensor Cores accelerate attention-based speech recognition.
ข้อมูลจำเพาะทางเทคนิค
RTX 5090
DGX Spark
ผู้ชนะโดยรวม
RTX 5090
7 ชนะจาก 10 benchmarks
7
RTX 5090
3
DGX Spark
RTX 5090 ข้อได้เปรียบ
- Significantly lower cost
- Easier availability
- Strong in LLM Inference
- Dominates in Image Generation
DGX Spark ข้อได้เปรียบ
- More VRAM (128GB vs 32GB)
- Strong in Vision-Language
- Dominates in Speech-to-Text
Frequently Asked Questions
RTX 5090 outperforms DGX Spark in 7 out of 10 AI benchmarks. The RTX 5090's Blackwell architecture introduces 5th generation Tensor Cores with enhanced AI processing capabilities and DLSS 4 Multi Frame Generation. With 1.8 TB/s memory bandwidth and 32GB GDDR7 memory, it delivers superior throughput for AI inference workloads.
RTX 5090 has 32GB of GDDR7 memory with 1.8 TB/s bandwidth. DGX Spark has 128GB of LPDDR5X memory with 273 GB/s bandwidth. Higher memory bandwidth generally results in faster token generation for large language models.
RTX 5090 is faster for LLM inference. LLM performance is heavily dependent on memory bandwidth - RTX 5090's 1.8 TB/s GDDR7 enables faster token generation compared to DGX Spark's 273 GB/s.
RTX 5090 has a TDP of 575W while DGX Spark has a TDP of 300W. DGX Spark is more power efficient, making it suitable for deployments with power constraints. For cloud deployments, consider Float16.cloud where you can access these GPUs without managing power infrastructure.
RTX 5090 is priced around $1,999-2200 (consumer market), while DGX Spark costs approximately $3,000-4000 (enterprise/datacenter). Note that RTX 5090 is a consumer GPU while DGX Spark is an enterprise solution with different support and warranty terms.